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Meaney PA, Hokororo A, Ndosi H, Dahlen A, Jacob T, Mwanga JR, Kalabamu FS, Joyce CL, Mediratta R, Rozenfeld B, Berg M, Smith ZH, Chami N, Mkopi N, Mwanga C, Diocles E, Agweyu A. Implementing adaptive e-learning for newborn care in Tanzania: an observational study of provider engagement and knowledge gains. BMJ Open 2024; 14:e077834. [PMID: 38309746 PMCID: PMC10840034 DOI: 10.1136/bmjopen-2023-077834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Accepted: 01/09/2024] [Indexed: 02/05/2024] Open
Abstract
INTRODUCTION To improve healthcare provider knowledge of Tanzanian newborn care guidelines, we developed adaptive Essential and Sick Newborn Care (aESNC), an adaptive e-learning environment. The objectives of this study were to (1) assess implementation success with use of in-person support and nudging strategy and (2) describe baseline provider knowledge and metacognition. METHODS 6-month observational study at one zonal hospital and three health centres in Mwanza, Tanzania. To assess implementation success, we used the Reach, Efficacy, Adoption, Implementation and Maintenance framework and to describe baseline provider knowledge and metacognition we used Howell's conscious-competence model. Additionally, we explored provider characteristics associated with initial learning completion or persistent activity. RESULTS aESNC reached 85% (195/231) of providers: 75 medical, 53 nursing and 21 clinical officers; 110 (56%) were at the zonal hospital and 85 (44%) at health centres. Median clinical experience was 4 years (IQR 1-9) and 45 (23%) had previous in-service training for both newborn essential and sick newborn care. Efficacy was 42% (SD ±17%). Providers averaged 78% (SD ±31%) completion of initial learning and 7% (SD ±11%) of refresher assignments. 130 (67%) providers had ≥1 episode of inactivity >30 day, no episodes were due to lack of internet access. Baseline conscious-competence was 53% (IQR: 38%-63%), unconscious-incompetence 32% (IQR: 23%-42%), conscious-incompetence 7% (IQR: 2%-15%), and unconscious-competence 2% (IQR: 0%-3%). Higher baseline conscious-competence (OR 31.6 (95% CI 5.8 to 183.5)) and being a nursing officer (aOR: 5.6 (95% CI 1.8 to 18.1)), compared with medical officer, were associated with initial learning completion or persistent activity. CONCLUSION aESNC reach was high in a population of frontline providers across diverse levels of care in Tanzania. Use of in-person support and nudging increased reach, initial learning and refresher assignment completion, but refresher assignment completion remains low. Providers were often unaware of knowledge gaps, and lower baseline knowledge may decrease initial learning completion or activity. Further study to identify barriers to adaptive e-learning normalisation is needed.
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Affiliation(s)
- Peter Andrew Meaney
- Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
- Critical Care, Lucile Salter Packard Children's Hospital at Stanford, Palo Alto, California, USA
| | - Adolfine Hokororo
- Pediatrics and Child Health, Bugando Consultant and Referral Hospital, Mwanza, Tanzania
- Pediatrics and Child Health, Catholic University of Health and Allied Sciences Bugando, Mwanza, Tanzania
| | - Hanston Ndosi
- Pediatrics and Child Health, Catholic University of Health and Allied Sciences Bugando, Mwanza, Tanzania
| | - Alex Dahlen
- New York University Division of Biostatistics, New York, New York, USA
| | | | - Joseph R Mwanga
- Epidemiology, Biostatistics, and Behavioural Sciences School of Public Health, Catholic University of Health and Allied Sciences Bugando, Mwanza, Tanzania
| | | | - Christine Lynn Joyce
- Critical Care, Cornell University Department of Pediatrics, New York, New York, USA
| | - Rishi Mediratta
- Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | | | - Marc Berg
- Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
- Critical Care, Lucile Salter Packard Children's Hospital at Stanford, Palo Alto, California, USA
| | - Zachary Haines Smith
- Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - Neema Chami
- Pediatrics and Child Health, Bugando Consultant and Referral Hospital, Mwanza, Tanzania
- Pediatrics and Child Health, Catholic University of Health and Allied Sciences Bugando, Mwanza, Tanzania
| | - Namala Mkopi
- Pediatric Critical Care, Muhimbili National Hospital, Dar es Salaam, Tanzania
| | | | - Enock Diocles
- Nursing, Mwanza College of Health and Allied Sciences, Mwanza, Tanzania
| | - Ambrose Agweyu
- Epidemiology and Demography, KEMRI-Wellcome Trust Research Institute, Nairobi, Kenya
- London School of Hygiene & Tropical Medicine, London, UK
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Müller SA, Isaaka L, Mumm R, Scheidt-Nave C, Heldt K, Schuster A, Abdulaziz M, El-Bcheraoui C, Hanefeld J, Agweyu A. Latent viral infections as neglected risk factors for long COVID - Authors' reply. Lancet Glob Health 2024; 12:e198. [PMID: 38245110 DOI: 10.1016/s2214-109x(23)00595-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 12/11/2023] [Indexed: 01/22/2024]
Affiliation(s)
- Sophie Alice Müller
- Centre for International Health Protection, Robert Koch Institute, Berlin 13353, Germany.
| | - Lynda Isaaka
- KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
| | - Rebekka Mumm
- Epidemiology and Health Monitoring, Robert Koch Institute, Berlin 13353, Germany
| | - Christa Scheidt-Nave
- Epidemiology and Health Monitoring, Robert Koch Institute, Berlin 13353, Germany
| | - Katharina Heldt
- Methods Development, Research Infrastructure and Information Technology, Robert Koch Institute, Berlin 13353, Germany
| | - Angela Schuster
- Centre for International Health Protection, Robert Koch Institute, Berlin 13353, Germany; Institute of General Practice and Family Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Mohammed Abdulaziz
- Division of Disease Control and Prevention, Africa CDC, Addis Ababa, Ethiopia
| | - Charbel El-Bcheraoui
- Evidence-based Public Health, Centre for International Health Protection, Robert Koch Institute, Berlin, Germany
| | - Johanna Hanefeld
- Centre for International Health Protection, Robert Koch Institute, Berlin 13353, Germany
| | - Ambrose Agweyu
- KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya; London School of Hygiene and Tropical Medicine, London, UK
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Requejo JH, Strong K, Aboud F, Agweyu A, Billah SM, Black M, Boschi-Pinto C, Horiuchi S, Jamaluddine Z, Lazzerini M, Maiga A, Munos M, Schellenberg J, Weigel R, Sacks E. Harmonizing Data Visualizations on Child Health and Well-Being to Strengthen Advocacy and Monitoring Efforts. Glob Health Sci Pract 2023; 11:e2300183. [PMID: 38071584 PMCID: PMC10749642 DOI: 10.9745/ghsp-d-23-00183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 11/15/2023] [Indexed: 12/24/2023]
Abstract
Data visualization tools on child health have improved data accessibility but caused confusion over indicator data sources and which tools to use for specific purposes. We propose principles for generating future tools that can effectively trigger action and accountability for children everywhere.
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Affiliation(s)
- Jennifer Harris Requejo
- The World Bank Group, Global Financing Facility, Washington, DC, USA.
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | | | - Ambrose Agweyu
- Health Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
| | - Sk Masum Billah
- Maternal and Child Health Division, icddr,b, Dhaka, Bangladesh
| | - Maureen Black
- Department of Pediatrics and Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA; RTI International, Research Triangle Park, NC, USA
| | | | - Sayaka Horiuchi
- Center for Birth Cohort Studies, University of Yamanashi, Yamanashi, Japan
| | - Zeina Jamaluddine
- London School of Hygiene and Tropical Medicine, London, United Kingdom
- American University of Beirut, Beirut, Lebanon
| | - Marzia Lazzerini
- London School of Hygiene and Tropical Medicine, London, United Kingdom
- Institute for Maternal and Child Health IRCCS Burlo Garofolo, Trieste, Italy
| | - Abdoulaye Maiga
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Melinda Munos
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | | | - Emma Sacks
- Consultant, Child Health Accountability Tracking Technical Advisory Group
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Strong K, Requejo JH, Billah SM, Schellenberg J, Munos M, Lazzerini M, Agweyu A, Boschi-Pinto C, Horiuchi S, Maiga A, Weigel R, Jamaluddine Z, Black M, Aboud F, Sacks E. Advocacy for Better Integration and Use of Child Health Indicators for Global Monitoring. Glob Health Sci Pract 2023; 11:e2300181. [PMID: 38071546 PMCID: PMC10749647 DOI: 10.9745/ghsp-d-23-00181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 11/15/2023] [Indexed: 12/22/2023]
Abstract
Making better use of harmonized indicators to monitor child health and well-being at the global level will avoid duplicative monitoring and evaluation exercises, improve evidence-based programming, and preserve resources that can be used to improve the quality of national data collection platforms.
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Affiliation(s)
- Kathleen Strong
- Department of Maternal, Newborn, Child and Adolescent Health and Aging, World Health Organization, Geneva, Switzerland.
| | | | - Sk Masum Billah
- Maternal and Child Health Division, icddr,b, Dhaka, Bangladesh
| | | | - Melinda Munos
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Marzia Lazzerini
- London School of Hygiene and Tropical Medicine, London, United Kingdom
- Institute for Maternal and Child Health IRCCS Burlo Garofolo, Trieste, Italy
| | - Ambrose Agweyu
- Health Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
| | | | - Sayaka Horiuchi
- Center for Birth Cohort Studies, University of Yamanashi, Yamanashi, Japan
| | - Abdoulaye Maiga
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | - Zeina Jamaluddine
- London School of Hygiene and Tropical Medicine, London, United Kingdom
- American University of Beirut, Beirut, Lebanon
| | - Maureen Black
- Department of Pediatrics and Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA; RTI International, Research Triangle Park, NC, USA
| | | | - Emma Sacks
- Consultant, Child Health Accountability Tracking Technical Advisory Group, Baltimore, MD, USA
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Müller SA, Isaaka L, Mumm R, Scheidt-Nave C, Heldt K, Schuster A, Abdulaziz M, El Bcheraoui C, Hanefeld J, Agweyu A. Prevalence and risk factors for long COVID and post-COVID-19 condition in Africa: a systematic review. Lancet Glob Health 2023; 11:e1713-e1724. [PMID: 37858583 DOI: 10.1016/s2214-109x(23)00384-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 08/01/2023] [Accepted: 08/07/2023] [Indexed: 10/21/2023]
Abstract
BACKGROUND An improved estimation of the clinical sequelae of SARS-CoV-2 infection is crucial in African countries, where the subject has received little attention despite more than 12 million reported cases and evidence that many more people were infected. We reviewed the evidence on prevalence, associated risk factors for long COVID, and systemic or sociocultural determinants of reporting long COVID. METHODS We conducted a systematic review, searching PubMed, the Living OVerview of Evidence platform, and grey literature sources for publications from Dec 1, 2019, to Nov 23, 2022. We included articles published in English, French, Spanish, or Portuguese that reported on any study type in Africa with participants of any age who had symptoms for 4 weeks or more after an acute SARS-CoV-2 infection. We excluded secondary research, comments, and correspondence. Screening and data extraction were performed by two reviewers. Summary estimates were extracted, including sociodemographic factors, medical history, prevalence of persistent symptoms, and symptoms and associated factors. Results were analysed descriptively. The study was registered on the Open Science Framework platform. FINDINGS Our search yielded 294 articles, of which 24 peer-reviewed manuscripts were included, reporting on 9712 patients from eight African countries. Only one study exclusively recruited children, and one other study included children as part of their study population. Studies indicated moderate to low risk of bias. Prevalence of long COVID varied widely, from 2% in Ghana to 86% in Egypt. Long COVID was positively associated with female sex, older age, non-Black ethnicity, low level of education, and the severity of acute infection and underlying comorbidity. HIV and tuberculosis were not identified as risk factors. Factors influencing reporting included absence of awareness, inadequate clinical data and diagnostics, and little access to health-care services. INTERPRETATION In Africa, research on long COVID is scarce, particularly among children, who represent the majority of the population. However, existing studies show a substantial prevalence across settings, emphasising the importance of vaccination and other prevention strategies to avert the effects of long COVID on individual wellbeing, the increased strain on health systems, and the potential negative effects on economically vulnerable populations. At a global level, including African countries, tools for research on long COVID need to be harmonised to maximise the usefulness of the data collected. FUNDING None.
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Affiliation(s)
- Sophie Alice Müller
- Centre for International Health Protection, Robert Koch Institute, Berlin, Germany.
| | - Lynda Isaaka
- KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
| | - Rebekka Mumm
- Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
| | | | - Katharina Heldt
- Methods Development, Research Infrastructure and Information Technology, Robert Koch Institute, Berlin, Germany
| | - Angela Schuster
- Centre for International Health Protection, Robert Koch Institute, Berlin, Germany; Institute of General Practice and Family Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Mohammed Abdulaziz
- Division of Disease Control and Prevention, Africa CDC, Addis Ababa, Ethiopia
| | - Charbel El Bcheraoui
- Evidence-based Public Health, Centre for International Health Protection, Robert Koch Institute, Berlin, Germany
| | - Johanna Hanefeld
- Centre for International Health Protection, Robert Koch Institute, Berlin, Germany
| | - Ambrose Agweyu
- KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya; London School of Hygiene and Tropical Medicine, London, UK
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Otiende M, Nyaguara A, Bottomley C, Walumbe D, Mochamah G, Amadi D, Nyundo C, Kagucia EW, Etyang AO, Adetifa IMO, Brand SPC, Maitha E, Chondo E, Nzomo E, Aman R, Mwangangi M, Amoth P, Kasera K, Ng'ang'a W, Barasa E, Tsofa B, Mwangangi J, Bejon P, Agweyu A, Williams TN, Scott JAG. Impact of COVID-19 on mortality in coastal Kenya: a longitudinal open cohort study. Nat Commun 2023; 14:6879. [PMID: 37898630 PMCID: PMC10613220 DOI: 10.1038/s41467-023-42615-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 10/17/2023] [Indexed: 10/30/2023] Open
Abstract
The mortality impact of COVID-19 in Africa remains controversial because most countries lack vital registration. We analysed excess mortality in Kilifi Health and Demographic Surveillance System, Kenya, using 9 years of baseline data. SARS-CoV-2 seroprevalence studies suggest most adults here were infected before May 2022. During 5 waves of COVID-19 (April 2020-May 2022) an overall excess mortality of 4.8% (95% PI 1.2%, 9.4%) concealed a significant excess (11.6%, 95% PI 5.9%, 18.9%) among older adults ( ≥ 65 years) and a deficit among children aged 1-14 years (-7.7%, 95% PI -20.9%, 6.9%). The excess mortality rate for January 2020-December 2021, age-standardised to the Kenyan population, was 27.4/100,000 person-years (95% CI 23.2-31.6). In Coastal Kenya, excess mortality during the pandemic was substantially lower than in most high-income countries but the significant excess mortality in older adults emphasizes the value of achieving high vaccine coverage in this risk group.
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Affiliation(s)
- M Otiende
- KEMRI-Wellcome Research Trust Programme, PO Box 230, Kilifi, 80108, Kenya.
| | - A Nyaguara
- KEMRI-Wellcome Research Trust Programme, PO Box 230, Kilifi, 80108, Kenya
| | - C Bottomley
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, Keppel Street London, London, WC1E 7HT, UK
| | - D Walumbe
- KEMRI-Wellcome Research Trust Programme, PO Box 230, Kilifi, 80108, Kenya
| | - G Mochamah
- KEMRI-Wellcome Research Trust Programme, PO Box 230, Kilifi, 80108, Kenya
| | - D Amadi
- KEMRI-Wellcome Research Trust Programme, PO Box 230, Kilifi, 80108, Kenya
| | - C Nyundo
- KEMRI-Wellcome Research Trust Programme, PO Box 230, Kilifi, 80108, Kenya
| | - E W Kagucia
- KEMRI-Wellcome Research Trust Programme, PO Box 230, Kilifi, 80108, Kenya
| | - A O Etyang
- KEMRI-Wellcome Research Trust Programme, PO Box 230, Kilifi, 80108, Kenya
| | - I M O Adetifa
- KEMRI-Wellcome Research Trust Programme, PO Box 230, Kilifi, 80108, Kenya
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, Keppel Street London, London, WC1E 7HT, UK
| | - S P C Brand
- The Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, University of Warwick, Coventry, CV4 7AL, UK
| | - E Maitha
- Department of Health, Kilifi County, Kilifi, Kenya
| | - E Chondo
- Department of Health, Kilifi County, Kilifi, Kenya
| | - E Nzomo
- Kilifi County Hospital, Kilifi, Kenya
| | - R Aman
- Ministry of Health, Government of Kenya; Afya House, Cathedral Road, Nairobi, Kenya
| | - M Mwangangi
- Ministry of Health, Government of Kenya; Afya House, Cathedral Road, Nairobi, Kenya
| | - P Amoth
- Ministry of Health, Government of Kenya; Afya House, Cathedral Road, Nairobi, Kenya
| | - K Kasera
- Ministry of Health, Government of Kenya; Afya House, Cathedral Road, Nairobi, Kenya
| | - W Ng'ang'a
- Presidential Policy and Strategy Unit, The Presidency, Government of Kenya, Nairobi, Kenya
| | - E Barasa
- KEMRI-Wellcome Research Trust Programme, PO Box 230, Kilifi, 80108, Kenya
| | - B Tsofa
- KEMRI-Wellcome Research Trust Programme, PO Box 230, Kilifi, 80108, Kenya
| | - J Mwangangi
- KEMRI-Wellcome Research Trust Programme, PO Box 230, Kilifi, 80108, Kenya
| | - P Bejon
- KEMRI-Wellcome Research Trust Programme, PO Box 230, Kilifi, 80108, Kenya
- Nuffield Department of Clinical Medicine, University of Oxford, Old Road Campus, Oxford, OX3 7BN, UK
| | - A Agweyu
- KEMRI-Wellcome Research Trust Programme, PO Box 230, Kilifi, 80108, Kenya
| | - T N Williams
- KEMRI-Wellcome Research Trust Programme, PO Box 230, Kilifi, 80108, Kenya
- Institute for Global Health Innovation, Imperial College, London, SW72AS, UK
| | - J A G Scott
- KEMRI-Wellcome Research Trust Programme, PO Box 230, Kilifi, 80108, Kenya
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, Keppel Street London, London, WC1E 7HT, UK
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Gallagher KE, Nyiro J, Agoti CN, Maitha E, Nyagwange J, Karani A, Bottomley C, Murunga N, Githinji G, Mutunga M, Ochola‐Oyier LI, Kombe I, Nyaguara A, Kagucia EW, Warimwe G, Agweyu A, Tsofa B, Bejon P, Scott JAG, Nokes DJ. Symptom prevalence and secondary attack rate of SARS-CoV-2 in rural Kenyan households: A prospective cohort study. Influenza Other Respir Viruses 2023; 17:e13185. [PMID: 37752066 PMCID: PMC10522480 DOI: 10.1111/irv.13185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 07/26/2023] [Accepted: 08/07/2023] [Indexed: 09/28/2023] Open
Abstract
BACKGROUND We estimated the secondary attack rate of SARS-CoV-2 among household contacts of PCR-confirmed cases of COVID-19 in rural Kenya and analysed risk factors for transmission. METHODS We enrolled incident PCR-confirmed cases and their household members. At baseline, a questionnaire, a blood sample, and naso-oropharyngeal swabs were collected. Household members were followed 4, 7, 10, 14, 21 and 28 days after the date of the first PCR-positive in the household; naso-oropharyngeal swabs were collected at each visit and used to define secondary cases. Blood samples were collected every 1-2 weeks. Symptoms were collected in a daily symptom diary. We used binomial regression to estimate secondary attack rates and survival analysis to analyse risk factors for transmission. RESULTS A total of 119 households with at least one positive household member were enrolled between October 2020 and September 2022, comprising 503 household members; 226 remained in follow-up at day 14 (45%). A total of 43 secondary cases arose within 14 days of identification of the primary case, and 81 household members remained negative. The 7-day secondary attack rate was 4% (95% CI 1%-10%), the 14-day secondary attack rate was 28% (95% CI 17%-40%). Of 38 secondary cases with data, eight reported symptoms (21%, 95% CI 8%-34%). Antibody to SARS-CoV-2 spike protein at enrolment was not associated with risk of becoming a secondary case. CONCLUSION Households in our setting experienced a lower 7-day attack rate than a recent meta-analysis indicated as the global average (23%-43% depending on variant), and infection is mostly asymptomatic in our setting.
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Affiliation(s)
- Katherine E. Gallagher
- KEMRI‐Wellcome Trust Research Programme (KWTRP)KilifiKenya
- Department of Infectious Diseases EpidemiologyLondon School of Hygiene and Tropical MedicineLondonUK
| | - Joyce Nyiro
- KEMRI‐Wellcome Trust Research Programme (KWTRP)KilifiKenya
| | | | - Eric Maitha
- Ministry of HealthGovernment of KenyaNairobiKenya
| | | | - Angela Karani
- KEMRI‐Wellcome Trust Research Programme (KWTRP)KilifiKenya
| | - Christian Bottomley
- Department of Infectious Diseases EpidemiologyLondon School of Hygiene and Tropical MedicineLondonUK
| | | | | | - Martin Mutunga
- KEMRI‐Wellcome Trust Research Programme (KWTRP)KilifiKenya
| | | | - Ivy Kombe
- KEMRI‐Wellcome Trust Research Programme (KWTRP)KilifiKenya
| | - Amek Nyaguara
- KEMRI‐Wellcome Trust Research Programme (KWTRP)KilifiKenya
| | | | - George Warimwe
- KEMRI‐Wellcome Trust Research Programme (KWTRP)KilifiKenya
- Nuffield Department of MedicineOxford UniversityOxfordUK
| | - Ambrose Agweyu
- KEMRI‐Wellcome Trust Research Programme (KWTRP)KilifiKenya
- Department of Infectious Diseases EpidemiologyLondon School of Hygiene and Tropical MedicineLondonUK
| | - Benjamin Tsofa
- KEMRI‐Wellcome Trust Research Programme (KWTRP)KilifiKenya
| | - Philip Bejon
- KEMRI‐Wellcome Trust Research Programme (KWTRP)KilifiKenya
- Nuffield Department of MedicineOxford UniversityOxfordUK
| | - J. Anthony G. Scott
- KEMRI‐Wellcome Trust Research Programme (KWTRP)KilifiKenya
- Department of Infectious Diseases EpidemiologyLondon School of Hygiene and Tropical MedicineLondonUK
- Nuffield Department of MedicineOxford UniversityOxfordUK
| | - David James Nokes
- KEMRI‐Wellcome Trust Research Programme (KWTRP)KilifiKenya
- School of Life Sciences and the Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research (SBIDER)University of WarwickCoventryUK
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8
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Kagucia EW, Ziraba AK, Nyagwange J, Kutima B, Kimani M, Akech D, Ng'oda M, Sigilai A, Mugo D, Karanja H, Gitonga J, Karani A, Toroitich M, Karia B, Otiende M, Njeri A, Aman R, Amoth P, Mwangangi M, Kasera K, Ng'ang'a W, Voller S, Ochola‐Oyier LI, Bottomley C, Nyaguara A, Munywoki PK, Bigogo G, Maitha E, Uyoga S, Gallagher KE, Etyang AO, Barasa E, Mwangangi J, Bejon P, Adetifa IMO, Warimwe GM, Scott JAG, Agweyu A. SARS-CoV-2 seroprevalence and implications for population immunity: Evidence from two Health and Demographic Surveillance System sites in Kenya, February-December 2022. Influenza Other Respir Viruses 2023; 17:e13173. [PMID: 37752065 PMCID: PMC10522478 DOI: 10.1111/irv.13173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 06/19/2023] [Accepted: 06/28/2023] [Indexed: 09/28/2023] Open
Abstract
BACKGROUND We sought to estimate SARS-CoV-2 antibody seroprevalence within representative samples of the Kenyan population during the third year of the COVID-19 pandemic and the second year of COVID-19 vaccine use. METHODS We conducted cross-sectional serosurveys among randomly selected, age-stratified samples of Health and Demographic Surveillance System (HDSS) residents in Kilifi and Nairobi. Anti-spike (anti-S) immunoglobulin G (IgG) serostatus was measured using a validated in-house ELISA and antibody concentrations estimated with reference to the WHO International Standard for anti-SARS-CoV-2 immunoglobulin. RESULTS HDSS residents were sampled in February-June 2022 (Kilifi HDSS N = 852; Nairobi Urban HDSS N = 851) and in August-December 2022 (N = 850 for both sites). Population-weighted coverage for ≥1 doses of COVID-19 vaccine were 11.1% (9.1-13.2%) among Kilifi HDSS residents by November 2022 and 34.2% (30.7-37.6%) among Nairobi Urban HDSS residents by December 2022. Population-weighted anti-S IgG seroprevalence among Kilifi HDSS residents increased from 69.1% (65.8-72.3%) by May 2022 to 77.4% (74.4-80.2%) by November 2022. Within the Nairobi Urban HDSS, seroprevalence by June 2022 was 88.5% (86.1-90.6%), comparable with seroprevalence by December 2022 (92.2%; 90.2-93.9%). For both surveys, seroprevalence was significantly lower among Kilifi HDSS residents than among Nairobi Urban HDSS residents, as were antibody concentrations (p < 0.001). CONCLUSION More than 70% of Kilifi residents and 90% of Nairobi residents were seropositive for anti-S IgG by the end of 2022. There is a potential immunity gap in rural Kenya; implementation of interventions to improve COVID-19 vaccine uptake among sub-groups at increased risk of severe COVID-19 in rural settings is recommended.
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Affiliation(s)
| | | | | | | | | | - Donald Akech
- KEMRI‐Wellcome Trust Research ProgrammeKilifiKenya
| | - Maurine Ng'oda
- African Population and Health Research CenterNairobiKenya
| | | | - Daisy Mugo
- KEMRI‐Wellcome Trust Research ProgrammeKilifiKenya
| | | | - John Gitonga
- KEMRI‐Wellcome Trust Research ProgrammeKilifiKenya
| | | | | | | | - Mark Otiende
- KEMRI‐Wellcome Trust Research ProgrammeKilifiKenya
| | - Anne Njeri
- African Population and Health Research CenterNairobiKenya
| | | | | | | | | | - Wangari Ng'ang'a
- Presidential Policy and Strategy UnitThe Presidency, Government of KenyaNairobiKenya
| | - Shirine Voller
- KEMRI‐Wellcome Trust Research ProgrammeKilifiKenya
- London School of Hygiene and Tropical MedicineLondonUK
| | | | | | | | - Patrick K. Munywoki
- Division for Global Health ProtectionUS Centers of Disease Control and Prevention, Center for Global HealthNairobiKenya
| | | | | | - Sophie Uyoga
- KEMRI‐Wellcome Trust Research ProgrammeKilifiKenya
| | - Katherine E. Gallagher
- KEMRI‐Wellcome Trust Research ProgrammeKilifiKenya
- London School of Hygiene and Tropical MedicineLondonUK
| | | | | | | | - Philip Bejon
- KEMRI‐Wellcome Trust Research ProgrammeKilifiKenya
- Centre for Tropical Medicine and Global Health, Nuffield Department of MedicineOxford UniversityOxfordUK
| | - Ifedayo M. O. Adetifa
- KEMRI‐Wellcome Trust Research ProgrammeKilifiKenya
- London School of Hygiene and Tropical MedicineLondonUK
| | - George M. Warimwe
- KEMRI‐Wellcome Trust Research ProgrammeKilifiKenya
- Centre for Tropical Medicine and Global Health, Nuffield Department of MedicineOxford UniversityOxfordUK
| | - J. Anthony G. Scott
- KEMRI‐Wellcome Trust Research ProgrammeKilifiKenya
- London School of Hygiene and Tropical MedicineLondonUK
| | - Ambrose Agweyu
- KEMRI‐Wellcome Trust Research ProgrammeKilifiKenya
- London School of Hygiene and Tropical MedicineLondonUK
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9
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Müller SA, Agweyu A, Akanbi OA, Alex-Wele MA, Alinon KN, Arora RK, Balam S, Barekye B, Ben Hamida A, Bergeri I, Boddington N, Böff L, Boone I, Conradie A, Demirchyan A, Dudareva S, El Bcheraoui C, Evans M, Farley E, Hunger I, Jones JM, Kagucia EW, Kimani M, Lewis HC, Mazuguni F, Mwakasungula S, Mwenda JM, Nesterova O, Nepolo E, Nghitukwa N, Nyagwange J, Offergeld R, Okwor TJ, Reichert F, Sahakyan S, Shaikh S, Sikuvi KA, Weiss S, Whelan M, Winter CH, Ziraba AK, Hanefeld J. Learning from serosurveillance for SARS-CoV-2 to inform pandemic preparedness and response. Lancet 2023; 402:356-358. [PMID: 37247625 PMCID: PMC10219629 DOI: 10.1016/s0140-6736(23)00964-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 05/05/2023] [Indexed: 05/31/2023]
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10
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Meaney P, Hokororo A, Ndosi H, Dahlen A, Jacob T, Mwanga JR, Kalabamu FS, Joyce C, Mediratta R, Rozenfeld B, Berg M, Smith Z, Chami N, Mkopi NP, Mwanga C, Diocles E, Agweyu A. Feasibility of an Adaptive E-Learning Environment to Improve Provider Proficiency in Essential and Sick Newborn Care in Mwanza, Tanzania. medRxiv 2023:2023.07.11.23292406. [PMID: 37502852 PMCID: PMC10370233 DOI: 10.1101/2023.07.11.23292406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
Introduction To improve healthcare provider knowledge of Tanzanian newborn care guidelines, we developed adaptive Essential and Sick Newborn Care (aESNC), an adaptive e-learning environment (AEE). The objectives of this study were to 1) assess implementation success with use of in-person support and nudging strategy and 2) describe baseline provider knowledge and metacognition. Methods 6-month observational study at 1 zonal hospital and 3 health centers in Mwanza, Tanzania. To assess implementation success, we used the RE-AIM framework and to describe baseline provider knowledge and metacognition we used Howell's conscious-competence model. Additionally, we explored provider characteristics associated with initial learning completion or persistent activity. Results aESNC reached 85% (195/231) of providers: 75 medical, 53 nursing, and 21 clinical officers; 110 (56%) were at the zonal hospital and 85 (44%) at health centers. Median clinical experience was 4 years [IQR 1,9] and 45 (23%) had previous in-service training for both newborn essential and sick newborn care. Efficacy was 42% (SD±17%). Providers averaged 78% (SD±31%) completion of initial learning and 7%(SD±11%) of refresher assignments. 130 (67%) providers had ≥1 episode of inactivity >30 day, no episodes were due to lack of internet access. Baseline conscious-competence was 53% [IQR:38-63%], unconscious-incompetence 32% [IQR:23-42%], conscious-incompetence 7% [IQR:2-15%], and unconscious-competence 2% [IQR:0-3%]. Higher baseline conscious-competence (OR 31.6 [95%CI:5.8, 183.5) and being a nursing officer (aOR: 5.6 [95%CI:1.8, 18.1]), compared to medical officer) were associated with initial learning completion or persistent activity. Conclusion aESNC reach was high in a population of frontline providers across diverse levels of care in Tanzania. Use of in-person support and nudging increased reach, initial learning, and refresher assignment completion, but refresher assignment completion remains low. Providers were often unaware of knowledge gaps, and lower baseline knowledge may decrease initial learning completion or activity. Further study to identify barriers to adaptive e-learning normalization is needed.
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Affiliation(s)
- Peter Meaney
- Stanford University School of Medicine, Palo Alto, CA
| | - Adolfine Hokororo
- Catholic University of Health and Allied Sciences, Mwanza, Tanzania
- Pediatric Association of Tanzania, Dar Es Salaam, Tanzania
| | - Hanston Ndosi
- Catholic University of Health and Allied Sciences, Mwanza, Tanzania
| | - Alex Dahlen
- Stanford University School of Medicine, Palo Alto, CA
| | | | - Joseph R Mwanga
- Catholic University of Health and Allied Sciences, Mwanza, Tanzania
| | - Florence S Kalabamu
- Pediatric Association of Tanzania, Dar Es Salaam, Tanzania
- Hubert Kairuki Memorial University, Dar es Salaam, Tanzania
| | - Christine Joyce
- Cornell University School of Medicine, New York, New York USA
| | | | | | - Marc Berg
- Stanford University School of Medicine, Palo Alto, CA
- Area9 Lyceum, Boston, Massachusetts, USA
| | - Zack Smith
- Stanford University School of Medicine, Palo Alto, CA
| | - Neema Chami
- Catholic University of Health and Allied Sciences, Mwanza, Tanzania
- Pediatric Association of Tanzania, Dar Es Salaam, Tanzania
| | - Namala P Mkopi
- Pediatric Association of Tanzania, Dar Es Salaam, Tanzania
- Muhimbili National Hospital, Dar es Salaam, Tanzania
| | - Castory Mwanga
- Pediatric Association of Tanzania, Dar Es Salaam, Tanzania
| | - Enock Diocles
- Catholic University of Health and Allied Sciences, Mwanza, Tanzania
| | - Ambrose Agweyu
- KEMRI-Wellcome Trust Research Programme, Kenya
- London School of Hygiene and Tropical Medicine, London, UK
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11
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Tsegaye AT, Sherry C, Oduol C, Otieno J, Rwigi D, Masheti M, Machura I, Liru M, Akuka J, Omedo D, Symekher S, Khamadi SA, Isaaka L, Ogero M, Mumelo L, Berkley JA, Agweyu A, Walson JL, Singa BO, Tickell KD. Clinical epidemiology of COVID-19 among hospitalized children in rural western Kenya. PLOS Glob Public Health 2023; 3:e0002011. [PMID: 37315023 PMCID: PMC10266603 DOI: 10.1371/journal.pgph.0002011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 05/12/2023] [Indexed: 06/16/2023]
Abstract
The epidemiology of pediatric COVID-19 in sub-Saharan Africa and the role of fecal-oral transmission in SARS-CoV-2 are poorly understood. Among children and adolescents in Kenya, we identify correlates of COVID-19 infection, document the clinical outcomes of infection, and evaluate the prevalence and viability of SARS-CoV-2 in stool. We recruited a prospective cohort of hospitalized children aged two months to 15 years in western Kenya between March 1 and June 30 2021. Children with SARS-CoV-2 were followed monthly for 180-days after hospital discharge. Bivariable logistic regression analysis was used to identify the clinical and sociodemographics correlates of SARS-CoV-2 infection. We also calculated the prevalence of SARS-CoV-2 detection in stool of confirmed cases. Of 355 systematically tested children, 55 (15.5%) were positive and were included in the cohort. The commonest clinical features among COVID-19 cases were fever (42/55, 76%), cough (19/55, 35%), nausea and vomiting (19/55, 35%), and lethargy (19/55, 35%). There were no statistically significant difference in baseline sociodemographic and clinical characteristics between SARS-CoV-2 positive and negative participants. Among positive participants, 8/55 (14.5%, 95%CI: 5.3%-23.9%) died; seven during the inpatient period. Forty-nine children with COVID-19 had stool samples or rectal swabs available at baseline, 9 (17%) had PCR-positive stool or rectal swabs, but none had SARS-CoV-2 detected by culture. Syndromic identification of COVID-19 is particularly challenging among children as the presenting symptoms and signs mirror other common pediatric diseases. Mortality among children hospitalized with COVID-19 was high in this cohort but was comparable to mortality seen with other common illnesses in this setting. Among this small set of children with COVID-19 we detected SARS-CoV-2 DNA, but were not able to culture viable SARs-CoV-2 virus, in stool. This suggests that fecal transmission may not be a substantial risk in children recently diagnosed and hospitalized with COVID-19 infection.
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Affiliation(s)
- Adino Tesfahun Tsegaye
- Department of Epidemiology, University of Washington, Seattle, Washington, United States of America
| | - Christina Sherry
- Departments of Global Health, University of Washington, Seattle, Washington, United States of America
| | - Chrisantus Oduol
- Center for Clinical Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Joyce Otieno
- Center for Clinical Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Doreen Rwigi
- Center for Clinical Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Mary Masheti
- Center for Clinical Research, Kenya Medical Research Institute, Nairobi, Kenya
| | | | - Meshack Liru
- Homa Bay County Referral Hospital, Homa Bay, Kenya
| | - Joyce Akuka
- Migori County Referral Hospital, Migori, Kenya
| | | | - Samwel Symekher
- Center for Virus Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Samoel A. Khamadi
- Center for Virus Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Lynda Isaaka
- KEMRI/Wellcome Trust Research Programme, Nairobi, Kenya
| | - Morris Ogero
- KEMRI/Wellcome Trust Research Programme, Nairobi, Kenya
| | | | - James A. Berkley
- KEMRI/Wellcome Trust Research Programme, Nairobi, Kenya
- The Childhood Acute Illness and Nutrition Network (CHAIN), Nairobi, Kenya
- Centre for Tropical Medicine & Global Health Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Ambrose Agweyu
- KEMRI/Wellcome Trust Research Programme, Nairobi, Kenya
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Judd L. Walson
- The Childhood Acute Illness and Nutrition Network (CHAIN), Nairobi, Kenya
- Departments of Global Health, Medicine (Infectious Disease), Pediatrics and Epidemiology, University of Washington, Seattle, Washington, United States of America
| | - Benson O. Singa
- Center for Clinical Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Kirkby D. Tickell
- Departments of Global Health, University of Washington, Seattle, Washington, United States of America
- The Childhood Acute Illness and Nutrition Network (CHAIN), Nairobi, Kenya
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12
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Abstract
Ambrose Agweyu and colleagues argue that large scale improvements in quality of healthcare require strong change management as well as health information systems that can provide continuous and rapid feedback
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Affiliation(s)
- Ambrose Agweyu
- Department of Epidemiology and Demography KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | | | - Theresa Diaz
- Department of Maternal Newborn, Child, and Adolescent Health, and Ageing, World Health Organization, Avenue Appia 20, 1202 Geneva, Switzerland
| | - Debra Jackson
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
- School of Public Health, University of the Western Cape, Bellville, South Africa
- Data and Analytics Section, Unicef, New York, USA
| | - Binyam G Hailu
- World Health Organization Country Office, Free Town, Sierra Leone
| | - Moise Muzigaba
- Department of Maternal Newborn, Child, and Adolescent Health, and Ageing, World Health Organization, Avenue Appia 20, 1202 Geneva, Switzerland
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13
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Otiende M, Bauni E, Nyaguara A, Amadi D, Nyundo C, Tsory E, Walumbe D, Kinuthia M, Kihuha N, Kahindi M, Nyutu G, Moisi J, Deribew A, Agweyu A, Marsh K, Tsofa B, Bejon P, Bottomley C, Williams TN, Scott JAG. Mortality in rural coastal Kenya measured using the Kilifi Health and Demographic Surveillance System: a 16-year descriptive analysis. Wellcome Open Res 2023; 6:327. [PMID: 37416502 PMCID: PMC10320326 DOI: 10.12688/wellcomeopenres.17307.2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/06/2023] [Indexed: 10/30/2023] Open
Abstract
Background: The Kilifi Health and Demographic Surveillance System (KHDSS) was established in 2000 to define the incidence and prevalence of local diseases and evaluate the impact of community-based interventions. KHDSS morbidity data have been reported comprehensively but mortality has not been described. This analysis describes mortality in the KHDSS over 16 years. Methods: We calculated mortality rates from 2003-2018 in four intervals of equal duration and assessed differences in mortality across these intervals by age and sex. We calculated the period survival function and median survival using the Kaplan-Meier method and mean life expectancies using abridged life tables. We estimated trend and seasonality by decomposing a time series of monthly mortality rates. We used choropleth maps and random-effects Poisson regression to investigate geographical heterogeneity. Results: Mortality declined by 36% overall between 2003-2018 and by 59% in children aged <5 years. Most of the decline occurred between 2003 and 2006. Among adults, the greatest decline (49%) was observed in those aged 15-54 years. Life expectancy at birth increased by 12 years. Females outlived males by 6 years. Seasonality was only evident in the 1-4 year age group in the first four years. Geographical variation in mortality was ±10% of the median value and did not change over time. Conclusions: Between 2003 and 2018, mortality among children and young adults has improved substantially. The steep decline in 2003-2006 followed by a much slower reduction thereafter suggests improvements in health and wellbeing have plateaued in the last 12 years. However, there is substantial inequality in mortality experience by geographical location.
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Affiliation(s)
- Mark Otiende
- Epidemiology and Demography, KEMRI-Wellcome Trust Research Programme, Kilifi, 80108, Kenya
| | - Evasius Bauni
- Epidemiology and Demography, KEMRI-Wellcome Trust Research Programme, Kilifi, 80108, Kenya
| | - Amek Nyaguara
- Epidemiology and Demography, KEMRI-Wellcome Trust Research Programme, Kilifi, 80108, Kenya
| | - David Amadi
- Epidemiology and Demography, KEMRI-Wellcome Trust Research Programme, Kilifi, 80108, Kenya
| | - Christopher Nyundo
- Epidemiology and Demography, KEMRI-Wellcome Trust Research Programme, Kilifi, 80108, Kenya
| | - Emmanuel Tsory
- Epidemiology and Demography, KEMRI-Wellcome Trust Research Programme, Kilifi, 80108, Kenya
| | - David Walumbe
- Epidemiology and Demography, KEMRI-Wellcome Trust Research Programme, Kilifi, 80108, Kenya
| | - Michael Kinuthia
- Epidemiology and Demography, KEMRI-Wellcome Trust Research Programme, Kilifi, 80108, Kenya
| | - Norbert Kihuha
- Epidemiology and Demography, KEMRI-Wellcome Trust Research Programme, Kilifi, 80108, Kenya
| | - Michael Kahindi
- Epidemiology and Demography, KEMRI-Wellcome Trust Research Programme, Kilifi, 80108, Kenya
| | - Gideon Nyutu
- Epidemiology and Demography, KEMRI-Wellcome Trust Research Programme, Kilifi, 80108, Kenya
| | - Jennifer Moisi
- Epidemiology and Demography, KEMRI-Wellcome Trust Research Programme, Kilifi, 80108, Kenya
| | - Amare Deribew
- Epidemiology and Demography, KEMRI-Wellcome Trust Research Programme, Kilifi, 80108, Kenya
| | - Ambrose Agweyu
- Epidemiology and Demography, KEMRI-Wellcome Trust Research Programme, Kilifi, 80108, Kenya
| | - Kevin Marsh
- Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK
| | - Benjamin Tsofa
- Epidemiology and Demography, KEMRI-Wellcome Trust Research Programme, Kilifi, 80108, Kenya
| | - Philip Bejon
- Epidemiology and Demography, KEMRI-Wellcome Trust Research Programme, Kilifi, 80108, Kenya
- Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK
| | - Christian Bottomley
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Thomas N. Williams
- Epidemiology and Demography, KEMRI-Wellcome Trust Research Programme, Kilifi, 80108, Kenya
| | - J. Anthony G. Scott
- Epidemiology and Demography, KEMRI-Wellcome Trust Research Programme, Kilifi, 80108, Kenya
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
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14
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Nyagwange J, Kutima B, Mwai K, Karanja HK, Gitonga JN, Mugo D, Sein Y, Wright D, Omuoyo DO, Nyiro JU, Tuju J, Nokes DJ, Agweyu A, Bejon P, Ochola-Oyier LI, Scott JAG, Lambe T, Nduati E, Agoti C, Warimwe GM. Serum immunoglobulin G and mucosal immunoglobulin A antibodies from prepandemic samples collected in Kilifi, Kenya, neutralize SARS-CoV-2 in vitro. Int J Infect Dis 2023; 127:11-16. [PMID: 36476349 PMCID: PMC9721188 DOI: 10.1016/j.ijid.2022.11.041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 11/17/2022] [Accepted: 11/30/2022] [Indexed: 12/10/2022] Open
Abstract
OBJECTIVES Many regions of Africa have experienced lower COVID-19 morbidity and mortality than Europe. Pre-existing humoral responses to endemic human coronaviruses (HCoV) may cross-protect against SARS-CoV-2. We investigated the neutralizing capacity of SARS-CoV-2 spike reactive and nonreactive immunoglobulin (Ig)G and IgA antibodies in prepandemic samples. METHODS To investigate the presence of pre-existing immunity, we performed enzyme-linked immunosorbent assay using spike antigens from reference SARS-CoV-2, HCoV HKU1, OC43, NL63, and 229E using prepandemic samples from Kilifi in coastal Kenya. In addition, we performed neutralization assays using pseudotyped reference SARS-CoV-2 to determine the functionality of the identified reactive antibodies. RESULTS We demonstrate the presence of HCoV serum IgG and mucosal IgA antibodies, which cross-react with the SARS-CoV-2 spike. We show pseudotyped reference SARS-CoV-2 neutralization by prepandemic serum, with a mean infective dose 50 of 1: 251, which is 10-fold less than that of the pooled convalescent sera from patients with COVID-19 but still within predicted protection levels. The prepandemic naso-oropharyngeal fluid neutralized pseudo-SARS-CoV-2 at a mean infective dose 50 of 1: 5.9 in the neutralization assay. CONCLUSION Our data provide evidence for pre-existing functional humoral responses to SARS-CoV-2 in Kilifi, coastal Kenya and adds to data showing pre-existing immunity for COVID-19 from other regions.
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Affiliation(s)
- James Nyagwange
- KEMRI-Wellcome Trust Research Programme,PO Box 230, Kilifi, Kenya.
| | | | - Kennedy Mwai
- KEMRI-Wellcome Trust Research Programme,PO Box 230, Kilifi, Kenya; School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, 27 St Andrews Road, Parktown 2193, Johannesburg, South Africa
| | - Henry K Karanja
- KEMRI-Wellcome Trust Research Programme,PO Box 230, Kilifi, Kenya
| | - John N Gitonga
- KEMRI-Wellcome Trust Research Programme,PO Box 230, Kilifi, Kenya
| | - Daisy Mugo
- KEMRI-Wellcome Trust Research Programme,PO Box 230, Kilifi, Kenya
| | - Yiakon Sein
- KEMRI-Wellcome Trust Research Programme,PO Box 230, Kilifi, Kenya
| | - Daniel Wright
- Nuffield Department of Medicine, University of Oxford, Oxford OX3 7BN, United Kingdom
| | | | - Joyce U Nyiro
- KEMRI-Wellcome Trust Research Programme,PO Box 230, Kilifi, Kenya
| | - James Tuju
- KEMRI-Wellcome Trust Research Programme,PO Box 230, Kilifi, Kenya
| | - D James Nokes
- KEMRI-Wellcome Trust Research Programme,PO Box 230, Kilifi, Kenya; The Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry, CV4 7AL, United Kingdom; School of Life Sciences, University of Warwick, Coventry CV4 7AL, United Kingdom
| | - Ambrose Agweyu
- KEMRI-Wellcome Trust Research Programme,PO Box 230, Kilifi, Kenya
| | - Philip Bejon
- KEMRI-Wellcome Trust Research Programme,PO Box 230, Kilifi, Kenya; Nuffield Department of Medicine, University of Oxford, Oxford OX3 7BN, United Kingdom
| | | | - J Anthony G Scott
- KEMRI-Wellcome Trust Research Programme,PO Box 230, Kilifi, Kenya; Nuffield Department of Medicine, University of Oxford, Oxford OX3 7BN, United Kingdom; Department of Infectious Diseases Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street WC1E 7HT, London, United Kingdom
| | - Teresa Lambe
- Nuffield Department of Medicine, University of Oxford, Oxford OX3 7BN, United Kingdom
| | - Eunice Nduati
- KEMRI-Wellcome Trust Research Programme,PO Box 230, Kilifi, Kenya
| | - Charles Agoti
- KEMRI-Wellcome Trust Research Programme,PO Box 230, Kilifi, Kenya
| | - George M Warimwe
- KEMRI-Wellcome Trust Research Programme,PO Box 230, Kilifi, Kenya; Nuffield Department of Medicine, University of Oxford, Oxford OX3 7BN, United Kingdom
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15
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Meaney PA, Hokororo A, Masenge T, Mwanga J, Kalabamu FS, Berg M, Rozenfeld B, Smith Z, Chami N, Mkopi N, Mwanga C, Agweyu A. Development of pediatric acute care education (PACE): An adaptive electronic learning (e-learning) environment for healthcare providers in Tanzania. Digit Health 2023; 9:20552076231180471. [PMID: 37529543 PMCID: PMC10387696 DOI: 10.1177/20552076231180471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 05/19/2023] [Indexed: 08/03/2023] Open
Abstract
Globally, inadequate healthcare provider (HCP) proficiency with evidence-based guidelines contributes to millions of newborn, infant, and child deaths each year. HCP guideline proficiency would improve patient outcomes. Conventional (in person) HCP in-service education is limited in 4 ways: reach, scalability, adaptability, and the ability to contextualize. Adaptive e-learning environments (AEE), a subdomain of e-learning, incorporate artificial intelligence technology to create a unique cognitive model of each HCP to improve education effectiveness. AEEs that use existing internet access and personal mobile devices may overcome limits of conventional education. This paper provides an overview of the development of our AEE HCP in-service education, Pediatric Acute Care Education (PACE). PACE uses an innovative approach to address HCPs' proficiency in evidence-based guidelines for care of newborns, infants, and children. PACE is novel in 2 ways: 1) its patient-centric approach using clinical audit data or frontline provider input to determine content and 2) its ability to incorporate refresher learning over time to solidify knowledge gains. We describe PACE's integration into the Pediatric Association of Tanzania's (PAT) Clinical Learning Network (CLN), a multifaceted intervention to improve facility-based care along a single referral chain. Using principles of co-design, stakeholder meetings modified PACE's characteristics and optimized integration with CLN. We plan to use three-phase, mixed-methods, implementation process. Phase I will examine the feasibility of PACE and refine its components and protocol. Lessons gained from this initial phase will guide the design of Phase II proof of concept studies which will generate insights into the appropriate empirical framework for (Phase III) implementation at scale to examine effectiveness.
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Key Words
- eHealth, general, digital health, general education, lifestyle, smartphone, media paediatrics, medicine, mHealth, psychology, mixed methods, studies
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Affiliation(s)
- Peter Andrew Meaney
- Department of Pediatrics, Stanford University School of Medicine, Pediatrics, Palo Alto, CA, USA
| | - Adolfine Hokororo
- Department of Pediatrics, Catholic University of Health and Allied Sciences Bugando, Pediatrics, Mwanza, Tanzania
| | | | - Joseph Mwanga
- Catholic University of Health and Allied Sciences School of Public Health, Mwanza, Tanzania
| | | | - Marc Berg
- Department of Pediatrics, Stanford University School of Medicine, Pediatrics, Palo Alto, CA, USA
| | | | - Zachary Smith
- Department of Pediatrics, Stanford University School of Medicine, Pediatrics, Palo Alto, CA, USA
| | - Neema Chami
- Department of Pediatrics, Catholic University of Health and Allied Sciences Bugando, Pediatrics, Mwanza, Tanzania
| | - Namala Mkopi
- Department of Pediatrics, Muhimbili University of Health and Allied Sciences School of Medicine, Pediatrics, Dar Es Salaam, Tanzania
| | - Castory Mwanga
- Department of Pediatrics, Simiyu District Hospital, Pediatrics, Simiyu, Tanzania
| | - Ambrose Agweyu
- Department of Infectious Disease and Epidemiology, London School of Hygiene and Tropical Medicine, Infectious Disease Epidemiology, Nairobi, Kenya
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16
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Lucinde R, Abdi A, Orindi B, Mwakio S, Gathuri H, Onyango E, Chira S, Ogero M, Isaaka L, Shangala J, Oginga IN, Wachira A, Manuthu E, Kariuki H, Nyikuli J, Wekesa C, Otedo A, Bosire H, Okoth SB, Ongalo W, Mukabi D, Lusamba W, Muthui B, Kirui N, Adembesa I, Mithi C, Sood M, Ahmed N, Gituma B, Ongaki VB, Giabe M, Omondi C, Ombajo LA, Kagucia W, English M, Hamaluba M, Ochola-Oyier LI, Kamuya D, Bejon P, Agweyu A, Akech S, Etyang AO. A pragmatic randomized controlled trial of standard care versus steroids plus standard care for treatment of pneumonia in adults admitted to Kenyan hospitals (SONIA). Wellcome Open Res 2022. [DOI: 10.12688/wellcomeopenres.18401.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Background: It is unclear if adjunctive steroid therapy reduces mortality in community-acquired pneumonia, as very few studies have had mortality as a primary outcome. This question has become even more relevant following demonstration of a mortality benefit of dexamethasone when used in patients with COVID-19 who had severe disease. This has led to increased prescription of steroids in adults with community acquired pneumonia in low-resource settings even when their COVID-19 diagnosis is uncertain due to low testing rates. This pragmatic parallel randomised-controlled open-label trial will determine if adjunctive low-dose steroids for treatment of adults admitted to hospital with community acquired pneumonia whose SARS-CoV-2 status is either unknown or negative reduces mortality. Methods: We will enroll and randomize 2180 patients admitted with a clinical diagnosis of community acquired pneumonia into two arms; in Stratum A-participants will receive standard care for the treatment of community acquired pneumonia. In Stratum B-participants will receive a 10-day course of low-dose oral corticosteroids in addition to standard care. All participants will be followed up to 30 days post randomization and their final status recorded (alive or dead). An immunology sub study will be conducted on a subset of the trial participants (50 per arm) to determine the correlation of pre-existing and treatment induced immune and metabolic changes with study outcomes. Discussion: Mortality among adults admitted to hospital with community acquired pneumonia in resource-limited settings is high. Steroids are readily available in these settings. If the addition of steroids to standard care for community acquired pneumonia is found to be beneficial, this easily scalable intervention would significantly reduce the currently high mortality associated with the illness.
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Tegally H, San JE, Cotten M, Moir M, Tegomoh B, Mboowa G, Martin DP, Baxter C, Lambisia AW, Diallo A, Amoako DG, Diagne MM, Sisay A, Zekri ARN, Gueye AS, Sangare AK, Ouedraogo AS, Sow A, Musa AO, Sesay AK, Abias AG, Elzagheid AI, Lagare A, Kemi AS, Abar AE, Johnson AA, Fowotade A, Oluwapelumi AO, Amuri AA, Juru A, Kandeil A, Mostafa A, Rebai A, Sayed A, Kazeem A, Balde A, Christoffels A, Trotter AJ, Campbell A, Keita AK, Kone A, Bouzid A, Souissi A, Agweyu A, Naguib A, Gutierrez AV, Nkeshimana A, Page AJ, Yadouleton A, Vinze A, Happi AN, Chouikha A, Iranzadeh A, Maharaj A, Batchi-Bouyou AL, Ismail A, Sylverken AA, Goba A, Femi A, Sijuwola AE, Marycelin B, Salako BL, Oderinde BS, Bolajoko B, Diarra B, Herring BL, Tsofa B, Lekana-Douki B, Mvula B, Njanpop-Lafourcade BM, Marondera BT, Khaireh BA, Kouriba B, Adu B, Pool B, McInnis B, Brook C, Williamson C, Nduwimana C, Anscombe C, Pratt CB, Scheepers C, Akoua-Koffi CG, Agoti CN, Mapanguy CM, Loucoubar C, Onwuamah CK, Ihekweazu C, Malaka CN, Peyrefitte C, Grace C, Omoruyi CE, Rafaï CD, Morang’a CM, Erameh C, Lule DB, Bridges DJ, Mukadi-Bamuleka D, Park D, Rasmussen DA, Baker D, Nokes DJ, Ssemwanga D, Tshiabuila D, Amuzu DSY, Goedhals D, Grant DS, Omuoyo DO, Maruapula D, Wanjohi DW, Foster-Nyarko E, Lusamaki EK, Simulundu E, Ong’era EM, Ngabana EN, Abworo EO, Otieno E, Shumba E, Barasa E, Ahmed EB, Ahmed EA, Lokilo E, Mukantwari E, Philomena E, Belarbi E, Simon-Loriere E, Anoh EA, Manuel E, Leendertz F, Taweh FM, Wasfi F, Abdelmoula F, Takawira FT, Derrar F, Ajogbasile FV, Treurnicht F, Onikepe F, Ntoumi F, Muyembe FM, Ragomzingba FEZ, Dratibi FA, Iyanu FA, Mbunsu GK, Thilliez G, Kay GL, Akpede GO, van Zyl GU, Awandare GA, Kpeli GS, Schubert G, Maphalala GP, Ranaivoson HC, Omunakwe HE, Onywera H, Abe H, Karray H, Nansumba H, Triki H, Kadjo HAA, Elgahzaly H, Gumbo H, Mathieu H, Kavunga-Membo H, Smeti I, Olawoye IB, Adetifa IMO, Odia I, Ben Boubaker IB, Mohammad IA, Ssewanyana I, Wurie I, Konstantinus IS, Halatoko JWA, Ayei J, Sonoo J, Makangara JCC, Tamfum JJM, Heraud JM, Shaffer JG, Giandhari J, Musyoki J, Nkurunziza J, Uwanibe JN, Bhiman JN, Yasuda J, Morais J, Kiconco J, Sandi JD, Huddleston J, Odoom JK, Morobe JM, Gyapong JO, Kayiwa JT, Okolie JC, Xavier JS, Gyamfi J, Wamala JF, Bonney JHK, Nyandwi J, Everatt J, Nakaseegu J, Ngoi JM, Namulondo J, Oguzie JU, Andeko JC, Lutwama JJ, Mogga JJH, O’Grady J, Siddle KJ, Victoir K, Adeyemi KT, Tumedi KA, Carvalho KS, Mohammed KS, Dellagi K, Musonda KG, Duedu KO, Fki-Berrajah L, Singh L, Kepler LM, Biscornet L, de Oliveira Martins L, Chabuka L, Olubayo L, Ojok LD, Deng LL, Ochola-Oyier LI, Tyers L, Mine M, Ramuth M, Mastouri M, ElHefnawi M, Mbanne M, Matsheka MI, Kebabonye M, Diop M, Momoh M, Lima Mendonça MDL, Venter M, Paye MF, Faye M, Nyaga MM, Mareka M, Damaris MM, Mburu MW, Mpina MG, Owusu M, Wiley MR, Tatfeng MY, Ayekaba MO, Abouelhoda M, Beloufa MA, Seadawy MG, Khalifa MK, Matobo MM, Kane M, Salou M, Mbulawa MB, Mwenda M, Allam M, Phan MVT, Abid N, Rujeni N, Abuzaid N, Ismael N, Elguindy N, Top NM, Dia N, Mabunda N, Hsiao NY, Silochi NB, Francisco NM, Saasa N, Bbosa N, Murunga N, Gumede N, Wolter N, Sitharam N, Ndodo N, Ajayi NA, Tordo N, Mbhele N, Razanajatovo NH, Iguosadolo N, Mba N, Kingsley OC, Sylvanus O, Femi O, Adewumi OM, Testimony O, Ogunsanya OA, Fakayode O, Ogah OE, Oludayo OE, Faye O, Smith-Lawrence P, Ondoa P, Combe P, Nabisubi P, Semanda P, Oluniyi PE, Arnaldo P, Quashie PK, Okokhere PO, Bejon P, Dussart P, Bester PA, Mbala PK, Kaleebu P, Abechi P, El-Shesheny R, Joseph R, Aziz RK, Essomba RG, Ayivor-Djanie R, Njouom R, Phillips RO, Gorman R, Kingsley RA, Neto Rodrigues RMDESA, Audu RA, Carr RAA, Gargouri S, Masmoudi S, Bootsma S, Sankhe S, Mohamed SI, Femi S, Mhalla S, Hosch S, Kassim SK, Metha S, Trabelsi S, Agwa SH, Mwangi SW, Doumbia S, Makiala-Mandanda S, Aryeetey S, Ahmed SS, Ahmed SM, Elhamoumi S, Moyo S, Lutucuta S, Gaseitsiwe S, Jalloh S, Andriamandimby SF, Oguntope S, Grayo S, Lekana-Douki S, Prosolek S, Ouangraoua S, van Wyk S, Schaffner SF, Kanyerezi S, Ahuka-Mundeke S, Rudder S, Pillay S, Nabadda S, Behillil S, Budiaki SL, van der Werf S, Mashe T, Mohale T, Le-Viet T, Velavan TP, Schindler T, Maponga TG, Bedford T, Anyaneji UJ, Chinedu U, Ramphal U, George UE, Enouf V, Nene V, Gorova V, Roshdy WH, Karim WA, Ampofo WK, Preiser W, Choga WT, Ahmed YA, Ramphal Y, Bediako Y, Naidoo Y, Butera Y, de Laurent ZR, Ouma AEO, von Gottberg A, Githinji G, Moeti M, Tomori O, Sabeti PC, Sall AA, Oyola SO, Tebeje YK, Tessema SK, de Oliveira T, Happi C, Lessells R, Nkengasong J, Wilkinson E. The evolving SARS-CoV-2 epidemic in Africa: Insights from rapidly expanding genomic surveillance. Science 2022; 378:eabq5358. [PMID: 36108049 PMCID: PMC9529057 DOI: 10.1126/science.abq5358] [Citation(s) in RCA: 44] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 09/12/2022] [Indexed: 11/25/2022]
Abstract
Investment in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequencing in Africa over the past year has led to a major increase in the number of sequences that have been generated and used to track the pandemic on the continent, a number that now exceeds 100,000 genomes. Our results show an increase in the number of African countries that are able to sequence domestically and highlight that local sequencing enables faster turnaround times and more-regular routine surveillance. Despite limitations of low testing proportions, findings from this genomic surveillance study underscore the heterogeneous nature of the pandemic and illuminate the distinct dispersal dynamics of variants of concern-particularly Alpha, Beta, Delta, and Omicron-on the continent. Sustained investment for diagnostics and genomic surveillance in Africa is needed as the virus continues to evolve while the continent faces many emerging and reemerging infectious disease threats. These investments are crucial for pandemic preparedness and response and will serve the health of the continent well into the 21st century.
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Affiliation(s)
- Houriiyah Tegally
- Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - James E. San
- Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Matthew Cotten
- MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda
- MRC-University of Glasgow Centre for Virus Research, Glasgow, UK
| | - Monika Moir
- Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa
| | - Bryan Tegomoh
- The Biotechnology Centre of the University of Yaoundé I, Yaoundé, Cameroon
- CDC Foundation, Atlanta, Georgia, Nebraska Department of Health and Human Services, Lincoln, NE, USA
| | - Gerald Mboowa
- Institute of Pathogen Genomics, Africa Centres for Disease Control and Prevention (Africa CDC), Addis Ababa, Ethiopia
| | - Darren P. Martin
- Institute of Infectious Diseases and Molecular Medicine, Department of Integrative Biomedical Sciences, Computational Biology Division, University of Cape Town, Cape Town, South Africa
- Division of Medical Virology, Wellcome Centre for Infectious Diseases in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Cheryl Baxter
- Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa
| | | | - Amadou Diallo
- Virology Department, Institut Pasteur de Dakar, Dakar, Senegal
| | - Daniel G. Amoako
- National Institute for Communicable Diseases (NICD) of the National Health Laboratory Service (NHLS), Johannesburg, South Africa
- School of Health Sciences, College of Health Sciences, University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa
| | | | - Abay Sisay
- Department of Medical Laboratory Sciences, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
- Department of Microbial, Cellular and Molecular Biology, College of Natural and Computational Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Abdel-Rahman N. Zekri
- Cancer Biology Department, Virology and Immunology Unit, National Cancer Institute, Cairo University, Cairo, Egypt
| | - Abdou Salam Gueye
- World Health Organization, Africa Region, Brazzaville, Republic of the Congo
| | - Abdoul K. Sangare
- Centre d’Infectiologie Charles Mérieux-Mali (CICM-Mali), Bamako, Mali
| | - Abdoul-Salam Ouedraogo
- Bacteriology and Virology Department Souro Sanou University Hospital, Bobo-Dioulasso, Burkina Faso
| | | | - Abdualmoniem O. Musa
- Faculty of Medicine and Health Sciences, Kassala University, Kassala City, Sudan
- Department of Microbiology, Faculty of Medical Laboratory Sciences, University of Gezira, Gezira, Sudan
- General Administration of Laboratories and Blood Banks, Ministry of Health, Kassala State, Sudan
| | | | - Abe G. Abias
- National Public Health Laboratory, Ministry of Health, Juba, Republic of South Sudan
| | | | - Adamou Lagare
- Center for Medical and Sanitary Research (CERMES), Niamey, Niger
| | | | - Aden Elmi Abar
- Laboratoire de la Caisse Nationale de Sécurité Sociale, Djibouti, Republic of Djibouti
| | - Adeniji A. Johnson
- Department of Virology, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Infectious Disease Institute, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Adeola Fowotade
- Medical Microbiology and Parasitology Department, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Biorepository Clinical Virology Laboratory, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Adeyemi O. Oluwapelumi
- Department of Medical Microbiology and Parasitology, Faculty of Basic Clinical Sciences, College of Health Sciences, University of Ilorin, Ilorin, Kwara State, Nigeria
- The Pirbright Institute, Woking, UK
| | - Adrienne A. Amuri
- Pathogen Sequencing Lab, Institut National de Recherche Biomédicale (INRB), Kinshasa, the Democratic Republic of the Congo
- Université de Kinshasa (UNIKIN), Kinshasa, the Democratic Republic of the Congo
| | - Agnes Juru
- National Microbiology Reference Laboratory, Harare, Zimbabwe
| | - Ahmed Kandeil
- Center of Scientific Excellence for Influenza Viruses, National Research Centre (NRC), Cairo, Egypt
| | - Ahmed Mostafa
- Center of Scientific Excellence for Influenza Viruses, National Research Centre (NRC), Cairo, Egypt
| | - Ahmed Rebai
- Laboratory of Molecular and Cellular Screening Processes, Centre of Biotechnology of Sfax, University of Sfax, Sfax, Tunisia
| | - Ahmed Sayed
- Genomics and Epigenomics Program, Research Department CCHE57357, Cairo, Egypt
| | - Akano Kazeem
- African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun State, Nigeria
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede, Osun State, Nigeria
| | - Aladje Balde
- Laboratório de Biologia Molecular Jean Piaget, Bissau, Guinea-Bissau
- University Jean Piaget in Guinea-Bissau, Bissau, Guinea-Bissau
| | - Alan Christoffels
- Institute of Pathogen Genomics, Africa Centres for Disease Control and Prevention (Africa CDC), Addis Ababa, Ethiopia
- SAMRC Bioinformatics Unit, SA Bioinformatics Institute, University of the Western Cape, Cape Town, South Africa
| | | | - Allan Campbell
- Central Public Health Reference Laboratories, Freetown, Sierra Leone
| | - Alpha K. Keita
- Centre de Recherche et de Formation en Infectiologie de Guinée (CERFIG), Université de Conakry, Conakry, Guinea
- TransVIHMI, Institut de Recherche pour le Développement, Institut National de la Santé et de la Recherche Médicale (INSERM), Montpellier University, 34090, Montpellier, France
| | - Amadou Kone
- University Clinical Research Center (UCRC), University of Sciences, Techniques and Technology of Bamako, Bamako, Mali
| | - Amal Bouzid
- Laboratory of Molecular and Cellular Screening Processes, Centre of Biotechnology of Sfax, University of Sfax, Sfax, Tunisia
- Sharjah Institute for Medical Research, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates
| | - Amal Souissi
- Laboratory of Molecular and Cellular Screening Processes, Centre of Biotechnology of Sfax, University of Sfax, Sfax, Tunisia
| | | | - Amel Naguib
- Central Public Health Laboratories (CPHL), Cairo, Egypt
| | | | | | | | - Anges Yadouleton
- Laboratoire des Fièvres Hémorragiques Virales du Benin, Cotonou, Benin
| | - Anika Vinze
- Infectious Disease and Microbiome Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Anise N. Happi
- African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun State, Nigeria
| | - Anissa Chouikha
- Laboratory of Clinical Virology, WHO Reference Laboratory for Poliomyelitis and Measles in the Eastern Mediterranean Region, Pasteur Institute of Tunis, University Tunis El Manar (UTM), Tunis 1002, Tunisia
- Research Laboratory “Virus, Vectors and Hosts: One Health Apporach and Technological Innovation for a Better Health”, LR20IPT02, Pasteur Institute, Tunis 1002, Tunisia
| | - Arash Iranzadeh
- Institute of Infectious Diseases and Molecular Medicine, Department of Integrative Biomedical Sciences, Computational Biology Division, University of Cape Town, Cape Town, South Africa
- Division of Medical Virology, Wellcome Centre for Infectious Diseases in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Arisha Maharaj
- Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa
| | - Armel L. Batchi-Bouyou
- Fondation Congolaise pour la Recherche Médicale, Brazzaville, Republic of the Congo
- Marien Ngouabi, Brazzaville, Republic of the Congo
| | - Arshad Ismail
- National Institute for Communicable Diseases (NICD) of the National Health Laboratory Service (NHLS), Johannesburg, South Africa
| | - Augustina A. Sylverken
- Kwame Nkrumah University of Science and Technology, Department of Theoretical and Applied Biology, Kumasi, Ghana
- Kumasi Centre for Collaborative Research in Tropical Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Augustine Goba
- Viral Haemorrhagic Fever Laboratory, Kenema Government Hospital, Kenema, Sierra Leone
- Ministry of Health and Sanitation, Freetown, Sierra Leone
| | - Ayoade Femi
- African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun State, Nigeria
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede, Osun State, Nigeria
| | - Ayotunde E. Sijuwola
- African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun State, Nigeria
| | - Baba Marycelin
- Department of Immunology, University of Maiduguri Teaching Hospital, P.M.B. 1414, Maiduguri, Nigeria
- Department of Medical Laboratory Science, College of Medical Sciences, University of Maiduguri, P.M.B. 1069, Maiduguri, Borno State, Nigeria
| | - Babatunde L. Salako
- The Nigerian Institute of Medical Research, Yaba, Lagos, Nigeria
- Infectious Disease Institute, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Bamidele S. Oderinde
- Department of Immunology, University of Maiduguri Teaching Hospital, P.M.B. 1414, Maiduguri, Nigeria
| | - Bankole Bolajoko
- African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun State, Nigeria
| | - Bassirou Diarra
- University Clinical Research Center (UCRC), University of Sciences, Techniques and Technology of Bamako, Bamako, Mali
| | - Belinda L. Herring
- World Health Organization, Africa Region, Brazzaville, Republic of the Congo
| | | | - Bernard Lekana-Douki
- Centre Interdisciplinaires de Recherches Medicales de Franceville (CIRMF), Franceville, Gabon
- Département de Parasitologie-Mycologie Université des Sciences de la Santé (USS), Libreville, Gabon
| | - Bernard Mvula
- National HIV Reference Laboratory, Community Health Sciences Unit, Ministry of Health, Lilongwe, Malawi
| | | | | | - Bouh Abdi Khaireh
- National Medical and Molecular Biology Laboratory, Ministry of Health, Djibouti, Republic of Djibouti
- Africa CDC, Rapid Responder, Team Djibouti, Djibouti, Djibouti
| | - Bourema Kouriba
- Centre d’Infectiologie Charles Mérieux-Mali (CICM-Mali), Bamako, Mali
| | - Bright Adu
- Noguchi Memorial Institute for Medical Research, University of Ghana, Legon, Ghana
| | - Brigitte Pool
- Seychelles Public Health Laboratory, Public Health Authority, Ministry of Health Seychelles, Victoria, Seychelles
| | - Bronwyn McInnis
- Cancer Biology Department, Virology and Immunology Unit, National Cancer Institute, Cairo University, Cairo, Egypt
| | - Cara Brook
- Department of Ecology and Evolution, University of Chicago, Chicago, IL, USA
- Virology Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar
| | - Carolyn Williamson
- Division of Medical Virology, Wellcome Centre for Infectious Diseases in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa
- National Health Laboratory Service (NHLS), Cape Town, South Africa
| | | | - Catherine Anscombe
- Malawi-Liverpool-Wellcome Trust Clinical Research Programme, Blantyre, Malawi
- Liverpool School of Tropical Medicine, Liverpool, UK
| | | | - Cathrine Scheepers
- National Institute for Communicable Diseases (NICD) of the National Health Laboratory Service (NHLS), Johannesburg, South Africa
- SAMRC Antibody Immunity Research Unit, School of Pathology, University of the Witwatersrand, Johannesburg, South Africa
| | - Chantal G. Akoua-Koffi
- CHU de Bouaké, Laboratoire/Unité de Diagnostic des Virus des Fièvres Hémorragiques et Virus Émergents, Bouaké, Côte d’Ivoire
- UFR Sciences Médicales, Universite Alassane Ouattara, Bouaké, Côte d’Ivoire
| | - Charles N. Agoti
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- School of Public Health, Pwani University, Kilifi, Kenya
| | - Chastel M. Mapanguy
- Fondation Congolaise pour la Recherche Médicale, Brazzaville, Republic of the Congo
- Faculty of Science and Techniques, University Marien Ngouabi, Brazzaville, Republic of the Congo
| | | | - Chika K. Onwuamah
- Centre for Human Virology and Genomics, Nigerian Institute of Medical Research, Yaba, Lagos, Nigeria
| | - Chikwe Ihekweazu
- Nigeria Centre for Disease Control and Prevention, Abuja, Nigeria
| | - Christian N. Malaka
- Laboratoire des Arbovirus, Fièvres Hémorragiques virales, Virus Emergents et Zoonoses, Institut Pasteur de Bangui, Bangui, Central African Republic
| | | | - Chukwa Grace
- African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun State, Nigeria
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede, Osun State, Nigeria
| | - Chukwuma E. Omoruyi
- Medical Microbiology and Parasitology Department, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Biorepository Clinical Virology Laboratory, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Clotaire D. Rafaï
- Le Laboratoire National de Biologie Clinique et de Santé Publique (LNBCSP), Bangui, Central African Republic
| | - Collins M. Morang’a
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), College of Basic and Applied Sciences, University of Ghana, Accra, Ghana
| | - Cyril Erameh
- Institute of Lassa Fever Research and Control, Irrua Specialist Teaching Hospital, Irrua, Nigeria
| | - Daniel B. Lule
- MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda
| | | | - Daniel Mukadi-Bamuleka
- Pathogen Sequencing Lab, Institut National de Recherche Biomédicale (INRB), Kinshasa, the Democratic Republic of the Congo
| | - Danny Park
- Infectious Disease and Microbiome Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - David A. Rasmussen
- Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, NC, USA
- Bioinformatics Research Center, North Carolina State University, Raleigh, NC, USA
| | | | - David J. Nokes
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- School of Life Sciences and Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry, UK
| | - Deogratius Ssemwanga
- MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda
- Uganda Virus Research Institute, Entebbe, Uganda
| | - Derek Tshiabuila
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Dominic S. Y. Amuzu
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), College of Basic and Applied Sciences, University of Ghana, Accra, Ghana
| | - Dominique Goedhals
- PathCare Vermaak, Pretoria, South Africa and Division of Virology, University of the Free State, Bloemfontein, South Africa
| | - Donald S. Grant
- Viral Haemorrhagic Fever Laboratory, Kenema Government Hospital, Kenema, Sierra Leone
- Ministry of Health and Sanitation, Freetown, Sierra Leone
- College of Medicine and Allied Health Sciences, University of Sierra Leone, Freetown, Sierra Leone
| | | | - Dorcas Maruapula
- Botswana Harvard AIDS Institute Partnership and Botswana Harvard HIV Reference Laboratory, Gaborone, Botswana
| | - Dorcas W. Wanjohi
- Institute of Pathogen Genomics, Africa Centres for Disease Control and Prevention (Africa CDC), Addis Ababa, Ethiopia
| | | | - Eddy K. Lusamaki
- Pathogen Sequencing Lab, Institut National de Recherche Biomédicale (INRB), Kinshasa, the Democratic Republic of the Congo
- Université de Kinshasa (UNIKIN), Kinshasa, the Democratic Republic of the Congo
- TransVIHMI, Institut de Recherche pour le Développement, Institut National de la Santé et de la Recherche Médicale (INSERM), Montpellier University, 34090, Montpellier, France
| | | | | | - Edith N. Ngabana
- Pathogen Sequencing Lab, Institut National de Recherche Biomédicale (INRB), Kinshasa, the Democratic Republic of the Congo
- Université de Kinshasa (UNIKIN), Kinshasa, the Democratic Republic of the Congo
| | - Edward O. Abworo
- International Livestock Research Institute (ILRI), Nairobi, Kenya
| | - Edward Otieno
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Edwin Shumba
- African Society for Laboratory Medicine, Addis Ababa, Ethiopia
| | - Edwine Barasa
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - El Bara Ahmed
- INRSP, Nouakchott, Mauritania
- Faculté de Médecine de Nouakchott, Nouakchott, Mauritani
| | - Elhadi A. Ahmed
- Department of Microbiology, Faculty of Medical Laboratory Sciences, University of Gezira, Gezira, Sudan
| | - Emmanuel Lokilo
- Pathogen Sequencing Lab, Institut National de Recherche Biomédicale (INRB), Kinshasa, the Democratic Republic of the Congo
| | | | - Eromon Philomena
- African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun State, Nigeria
| | | | | | - Etilé A. Anoh
- CHU de Bouaké, Laboratoire/Unité de Diagnostic des Virus des Fièvres Hémorragiques et Virus Émergents, Bouaké, Côte d’Ivoire
| | - Eusebio Manuel
- Direcção Nacional da Saúde Pública, Ministério da Saúde, Luanda, Angola
| | | | - Fahn M. Taweh
- National Public Health Reference Laboratory–National Public Health Institute of Liberia, Monrovia, Liberia
| | - Fares Wasfi
- Laboratory of Clinical Virology, WHO Reference Laboratory for Poliomyelitis and Measles in the Eastern Mediterranean Region, Pasteur Institute of Tunis, University Tunis El Manar (UTM), Tunis 1002, Tunisia
| | - Fatma Abdelmoula
- Laboratory of Molecular and Cellular Screening Processes, Centre of Biotechnology of Sfax, University of Sfax, Sfax, Tunisia
- Faculty of Pharmacy of Monastir, Monastir, Tunisia
| | | | - Fawzi Derrar
- National Influenza Centre, Institut Pasteur d’Algérie, Algiers, Algeria
| | - Fehintola V. Ajogbasile
- African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun State, Nigeria
| | - Florette Treurnicht
- Department of Virology, National Health Laboratory Service (NHLS), Charlotte Maxeke Johannesburg Academic Hospital, Johannesburg, South Africa
- School of Pathology, Faculty of Health Science, University of the Witwatersrand, Johannesburg, South Africa
| | - Folarin Onikepe
- African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun State, Nigeria
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede, Osun State, Nigeria
| | - Francine Ntoumi
- Fondation Congolaise pour la Recherche Médicale, Brazzaville, Republic of the Congo
- Institute of Tropical Medicine, Universitätsklinikum Tübingen, Tübingen, Germany
| | - Francisca M. Muyembe
- Pathogen Sequencing Lab, Institut National de Recherche Biomédicale (INRB), Kinshasa, the Democratic Republic of the Congo
- Université de Kinshasa (UNIKIN), Kinshasa, the Democratic Republic of the Congo
| | | | - Fred A. Dratibi
- WHO Int Comoros, Moroni, Union of Comoros
- World Health Organization, Africa Region, Brazzaville, Republic of the Congo
| | - Fred-Akintunwa Iyanu
- African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun State, Nigeria
| | - Gabriel K. Mbunsu
- Université de Kinshasa (UNIKIN), Kinshasa, the Democratic Republic of the Congo
| | | | | | - George O. Akpede
- Institute of Lassa Fever Research and Control, Irrua Specialist Teaching Hospital, Irrua, Nigeria
| | - Gert U. van Zyl
- Division of Medical Virology, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, Cape Town, South Africa
- National Health Laboratory Service (NHLS), Tygerberg, Cape Town, South Africa
| | - Gordon A. Awandare
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), College of Basic and Applied Sciences, University of Ghana, Accra, Ghana
| | - Grace S. Kpeli
- UHAS COVID-19 Testing and Research Centre, University of Health and Allied Sciences, Ho, Ghana
- Department of Biomedical Sciences, University of Health and Allied Sciences, PMB 31, Ho, Ghana
| | | | - Gugu P. Maphalala
- Ministry of Health, COVID-19 Testing Laboratory, Mbabane, Kingdom of Eswatini
| | | | - Hannah E. Omunakwe
- Satellite Molecular Laboratory, Rivers State University Teaching Hospital, Port Harcourt, Nigeria
| | - Harris Onywera
- Institute of Pathogen Genomics, Africa Centres for Disease Control and Prevention (Africa CDC), Addis Ababa, Ethiopia
| | - Haruka Abe
- Department of Emerging Infectious Diseases, Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan
| | - Hela Karray
- CHU Habib Bourguiba, Laboratory of Microbiology, Faculty of Medicine of Sfax, University of Sfax, Sfax, Tunisia
| | | | - Henda Triki
- Laboratory of Clinical Virology, WHO Reference Laboratory for Poliomyelitis and Measles in the Eastern Mediterranean Region, Pasteur Institute of Tunis, University Tunis El Manar (UTM), Tunis 1002, Tunisia
| | | | - Hesham Elgahzaly
- Faculty of Medicine Ain Shams Research Institute (MASRI), Ain Shams University, Cairo, Egypt
| | - Hlanai Gumbo
- National Microbiology Reference Laboratory, Harare, Zimbabwe
| | - Hota Mathieu
- Doctoral School of Technical and Environmental Sciences, Department of Biology and Human Health, N’Djamena, Chad
| | - Hugo Kavunga-Membo
- Pathogen Sequencing Lab, Institut National de Recherche Biomédicale (INRB), Kinshasa, the Democratic Republic of the Congo
| | - Ibtihel Smeti
- Laboratory of Molecular and Cellular Screening Processes, Centre of Biotechnology of Sfax, University of Sfax, Sfax, Tunisia
| | - Idowu B. Olawoye
- African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun State, Nigeria
| | - Ifedayo M. O. Adetifa
- Nigeria Centre for Disease Control and Prevention, Abuja, Nigeria
- Department of Infectious Diseases Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - Ikponmwosa Odia
- Institute of Lassa Fever Research and Control, Irrua Specialist Teaching Hospital, Irrua, Nigeria
| | - Ilhem Boutiba Ben Boubaker
- Charles Nicolle Hospital, Laboratory of Microbiology, National Influenza Center, Tunis, Tunisia
- University of Tunis El Manar, Faculty of Medicine of Tunis, Research Laboratory LR99ES09, Tunis, Tunisia
| | - Iluoreh Ahmed Mohammad
- African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun State, Nigeria
| | | | - Isatta Wurie
- College of Medicine and Allied Health Science, University of Sierra Leone, Freetown, Sierra Leone
| | | | | | - James Ayei
- National Public Health Laboratory, Ministry of Health, Juba, Republic of South Sudan
| | - Janaki Sonoo
- Virology/Molecular Biology Department, Central Health Laboratory, Victoria Hospital, Ministry of Health and Wellness, Port Louis, Mauritius
| | - Jean-Claude C. Makangara
- Pathogen Sequencing Lab, Institut National de Recherche Biomédicale (INRB), Kinshasa, the Democratic Republic of the Congo
- Université de Kinshasa (UNIKIN), Kinshasa, the Democratic Republic of the Congo
| | - Jean-Jacques M. Tamfum
- Pathogen Sequencing Lab, Institut National de Recherche Biomédicale (INRB), Kinshasa, the Democratic Republic of the Congo
- Université de Kinshasa (UNIKIN), Kinshasa, the Democratic Republic of the Congo
| | - Jean-Michel Heraud
- Virology Department, Institut Pasteur de Dakar, Dakar, Senegal
- Virology Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar
| | - Jeffrey G. Shaffer
- Department of Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - Jennifer Giandhari
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | | | | | - Jessica N. Uwanibe
- African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun State, Nigeria
| | - Jinal N. Bhiman
- National Institute for Communicable Diseases (NICD) of the National Health Laboratory Service (NHLS), Johannesburg, South Africa
- School of Pathology, Faculty of Health Science, University of the Witwatersrand, Johannesburg, South Africa
| | - Jiro Yasuda
- Department of Emerging Infectious Diseases, Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan
| | - Joana Morais
- Grupo de Investigação Microbiana e Imunológica, Instituto Nacional de Investigação em Saúde (National Institute for Health Research), Luanda, Angola
- Departamento de Bioquímica, Faculdade de Medicina, Universidade Agostinho Neto, Luanda, Angola
| | | | - John D. Sandi
- Viral Haemorrhagic Fever Laboratory, Kenema Government Hospital, Kenema, Sierra Leone
- Ministry of Health and Sanitation, Freetown, Sierra Leone
| | - John Huddleston
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - John K. Odoom
- Noguchi Memorial Institute for Medical Research, University of Ghana, Legon, Ghana
| | | | - John O. Gyapong
- UHAS COVID-19 Testing and Research Centre, University of Health and Allied Sciences, Ho, Ghana
| | - John T. Kayiwa
- MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda
| | - Johnson C. Okolie
- African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun State, Nigeria
| | - Joicymara S. Xavier
- Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa
- Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
- Institute of Agricultural Sciences, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Unaí, Brazil
| | - Jones Gyamfi
- UHAS COVID-19 Testing and Research Centre, University of Health and Allied Sciences, Ho, Ghana
| | | | - Joseph H. K. Bonney
- Noguchi Memorial Institute for Medical Research, University of Ghana, Legon, Ghana
| | - Joseph Nyandwi
- National Institute of Public Health, Bujumbura, Burundi
- Faculty of Medicine, University of Burundi, Bujumbura, Burundi
| | - Josie Everatt
- National Institute for Communicable Diseases (NICD) of the National Health Laboratory Service (NHLS), Johannesburg, South Africa
| | | | - Joyce M. Ngoi
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), College of Basic and Applied Sciences, University of Ghana, Accra, Ghana
| | | | - Judith U. Oguzie
- African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun State, Nigeria
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede, Osun State, Nigeria
| | - Julia C. Andeko
- Centre Interdisciplinaires de Recherches Medicales de Franceville (CIRMF), Franceville, Gabon
| | | | | | | | - Katherine J. Siddle
- Infectious Disease and Microbiome Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | | | - Kayode T. Adeyemi
- African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun State, Nigeria
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede, Osun State, Nigeria
| | - Kefentse A. Tumedi
- Botswana Institute for Technology Research and Innovation, Gaborone, Botswana
| | | | | | | | | | - Kwabena O. Duedu
- UHAS COVID-19 Testing and Research Centre, University of Health and Allied Sciences, Ho, Ghana
- Department of Biomedical Sciences, University of Health and Allied Sciences, PMB 31, Ho, Ghana
| | - Lamia Fki-Berrajah
- CHU Habib Bourguiba, Laboratory of Microbiology, Faculty of Medicine of Sfax, University of Sfax, Sfax, Tunisia
| | - Lavanya Singh
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Lenora M. Kepler
- Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, NC, USA
- Bioinformatics Research Center, North Carolina State University, Raleigh, NC, USA
| | - Leon Biscornet
- Seychelles Public Health Laboratory, Public Health Authority, Ministry of Health Seychelles, Victoria, Seychelles
| | | | | | - Luicer Olubayo
- Institute of Infectious Diseases and Molecular Medicine, Department of Integrative Biomedical Sciences, Computational Biology Division, University of Cape Town, Cape Town, South Africa
| | - Lul Deng Ojok
- National Public Health Laboratory, Ministry of Health, Juba, Republic of South Sudan
| | - Lul Lojok Deng
- National Public Health Laboratory, Ministry of Health, Juba, Republic of South Sudan
| | | | - Lynn Tyers
- Division of Medical Virology, Wellcome Centre for Infectious Diseases in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Madisa Mine
- National Health Laboratory, Gaborone, Botswana
| | - Magalutcheemee Ramuth
- Virology/Molecular Biology Department, Central Health Laboratory, Victoria Hospital, Ministry of Health and Wellness, Port Louis, Mauritius
| | - Maha Mastouri
- Laboratory of Transmissible Diseases and Biologically Active Substances (LR99ES27), Faculty of Pharmacy, University of Monastir, Monastir, Tunisia
- Laboratory of Microbiology, University Hospital of Monastir, Monastir, Tunisia
| | - Mahmoud ElHefnawi
- Biomedical Informatics and Chemoinformatics Group, Informatics and Systems Department, National Research Centre, Cairo, Egypt
| | - Maimouna Mbanne
- Virology Department, Institut Pasteur de Dakar, Dakar, Senegal
| | | | | | - Mamadou Diop
- Virology Department, Institut Pasteur de Dakar, Dakar, Senegal
| | - Mambu Momoh
- Viral Haemorrhagic Fever Laboratory, Kenema Government Hospital, Kenema, Sierra Leone
- Ministry of Health and Sanitation, Freetown, Sierra Leone
- Eastern Technical University of Sierra Leone, Kenema, Sierra Leone
| | | | - Marietjie Venter
- Zoonotic Arbo and Respiratory Virus Program, Centre for Viral Zoonoses, Department of Medical Virology, University of Pretoria, Pretoria, South Africa
| | - Marietou F. Paye
- Infectious Disease and Microbiome Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Martin Faye
- Virology Department, Institut Pasteur de Dakar, Dakar, Senegal
| | - Martin M. Nyaga
- Next Generation Sequencing Unit and Division of Virology, Faculty of Health Sciences, University of the Free State, Bloemfontein, South Africa
| | | | - Matoke-Muhia Damaris
- Centre for Biotechnology Research and Development, Kenya Medical Research Institute, Nairobi, Kenya
| | | | - Maximillian G. Mpina
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- Laboratorio de Investigaciones de Baney, Baney, Equatorial Guinea
- Ifakara Health Insitute, Ifakara, Tanzania
| | - Michael Owusu
- Department of Medical Diagnostics, Kumasi Centre for Collaborative Research in Tropical Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Michael R. Wiley
- University of Nebraska Medical Center (UNMC), Omaha, NE, USA
- PraesensBio, Lincoln, NE, USA
| | - Mirabeau Y. Tatfeng
- Department of Medical Laboratory Science, Niger Delta University, Bayelsa State, Nigeria
| | | | - Mohamed Abouelhoda
- Systems and Biomedical Engineering Department, Faculty of Engineering, Cairo University, Cairo, Egypt
- King Faisal Specialist Hospital and Research Center, Riyadh, Kingdom of Saudi Arabia
| | | | - Mohamed G. Seadawy
- Biological Prevention Department, Ministry of Defence, Cairo, Egypt
- Faculty of Science, Fayoum University, Fayoum, Egypt
| | | | | | - Mouhamed Kane
- Virology Department, Institut Pasteur de Dakar, Dakar, Senegal
| | | | | | | | - Mushal Allam
- Department of Genetics and Genomics, College of Medicine and Health Sciences, United Arab Emirates University, Abu Dhabi, United Arab Emirates
| | - My V. T. Phan
- MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda
| | - Nabil Abid
- Laboratory of Transmissible Diseases and Biologically Active Substances (LR99ES27), Faculty of Pharmacy, University of Monastir, Monastir, Tunisia
- High Institute of Biotechnology of Monastir, University of Monastir, Rue Taher Haddad 5000, Monastir, Tunisia
| | - Nadine Rujeni
- Rwanda National Joint Task Force COVID-19, Rwanda Biomedical Centre, Ministry of Health, Kigali, Rwanda
- School of Health Sciences, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda
| | - Nadir Abuzaid
- Department of Microbiology, Faculty of Medical Laboratory Sciences, Omdurman Islamic University, Sudan
| | - Nalia Ismael
- Instituto Nacional de Saúde (INS), Marracuene, Mozambique
| | | | | | - Ndongo Dia
- Virology Department, Institut Pasteur de Dakar, Dakar, Senegal
| | - Nédio Mabunda
- Instituto Nacional de Saúde (INS), Marracuene, Mozambique
| | - Nei-yuan Hsiao
- Division of Medical Virology, Wellcome Centre for Infectious Diseases in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
- National Health Laboratory Service (NHLS), Cape Town, South Africa
| | | | - Ngiambudulu M. Francisco
- Grupo de Investigação Microbiana e Imunológica, Instituto Nacional de Investigação em Saúde (National Institute for Health Research), Luanda, Angola
| | - Ngonda Saasa
- Department of Disease Control, School of Veterinary Medicine, University of Zambia, Lusaka, Zambia
| | - Nicholas Bbosa
- MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda
| | | | - Nicksy Gumede
- World Health Organization, Africa Region, Brazzaville, Republic of the Congo
| | - Nicole Wolter
- National Institute for Communicable Diseases (NICD) of the National Health Laboratory Service (NHLS), Johannesburg, South Africa
- School of Pathology, Faculty of Health Science, University of the Witwatersrand, Johannesburg, South Africa
| | - Nikita Sitharam
- Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa
| | - Nnaemeka Ndodo
- Nigeria Centre for Disease Control and Prevention, Abuja, Nigeria
| | - Nnennaya A. Ajayi
- Internal Medicine Department, Alex Ekwueme Federal University Teaching Hospital, Abakaliki, Nigeria
| | - Noël Tordo
- Institut Pasteur de Guinée, Conarky, Guinea
| | - Nokuzola Mbhele
- Division of Medical Virology, Wellcome Centre for Infectious Diseases in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | | | - Nosamiefan Iguosadolo
- African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun State, Nigeria
| | - Nwando Mba
- Nigeria Centre for Disease Control and Prevention, Abuja, Nigeria
| | - Ojide C. Kingsley
- Virology Laboratory, Alex Ekwueme Federal University Teaching Hospital, Abakaliki, Nigeria
| | - Okogbenin Sylvanus
- Institute of Lassa Fever Research and Control, Irrua Specialist Teaching Hospital, Irrua, Nigeria
| | - Oladiji Femi
- Department of Epidemiology and Community Health, Faculty of Clinical Sciences. College of Health Sciences. University of Ilorin, Ilorin, Kwara State, Nigeria
| | - Olubusuyi M. Adewumi
- Department of Virology, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Infectious Disease Institute, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Olumade Testimony
- African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun State, Nigeria
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede, Osun State, Nigeria
| | - Olusola A. Ogunsanya
- African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun State, Nigeria
| | - Oluwatosin Fakayode
- Department of Public Health, Ministry of Health, Ilorin, Kwara State, Nigeria
| | - Onwe E. Ogah
- Alex Ekwueme Federal University Teaching Hospital, Abakaliki, Nigeria
| | - Ope-Ewe Oludayo
- African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun State, Nigeria
| | - Ousmane Faye
- Virology Department, Institut Pasteur de Dakar, Dakar, Senegal
| | | | - Pascale Ondoa
- African Society for Laboratory Medicine, Addis Ababa, Ethiopia
| | | | - Patricia Nabisubi
- The African Center of Excellence in Bioinformatics and Data-Intensive Sciences, The Infectious Diseases Institute, Kampala, Uganda
- Immunology and Molecular Biology, Makerere University, Kampala, Uganda
| | | | - Paul E. Oluniyi
- African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun State, Nigeria
| | - Paulo Arnaldo
- Instituto Nacional de Saúde (INS), Marracuene, Mozambique
| | - Peter Kojo Quashie
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), College of Basic and Applied Sciences, University of Ghana, Accra, Ghana
| | - Peter O. Okokhere
- Institute of Lassa Fever Research and Control, Irrua Specialist Teaching Hospital, Irrua, Nigeria
- Department of Medicine, Faculty of Clinical Sciences, College of Medicine, Ambrose Alli University, Ekpoma, Edo State, Nigeria
| | - Philip Bejon
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Philippe Dussart
- Virology Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar
| | - Phillip A. Bester
- Division of Virology, National Health Laboratory Service and University of the Free State, Bloemfontein, South Africa
| | - Placide K. Mbala
- Pathogen Sequencing Lab, Institut National de Recherche Biomédicale (INRB), Kinshasa, the Democratic Republic of the Congo
- Université de Kinshasa (UNIKIN), Kinshasa, the Democratic Republic of the Congo
| | - Pontiano Kaleebu
- MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda
- Uganda Virus Research Institute, Entebbe, Uganda
| | - Priscilla Abechi
- African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun State, Nigeria
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede, Osun State, Nigeria
| | - Rabeh El-Shesheny
- Center of Scientific Excellence for Influenza Viruses, National Research Centre (NRC), Cairo, Egypt
- Infectious Hazards Preparedness, World Health Organization, Eastern Mediterranean Regional Office, Cairo, Egypt
| | - Rageema Joseph
- Division of Medical Virology, Wellcome Centre for Infectious Diseases in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Ramy Karam Aziz
- Department of Microbiology and Immunology, Faculty of Pharmacy, Cairo University, Cairo, Egypt
- Microbiology and Immunology Research Program, Children’s Cancer Hospital Egypt, Cairo, Egypt
| | - René G. Essomba
- National Public Health Laboratory, Ministry of Public Health of Cameroon, Yaoundé, Cameroon
- Faculty of Medicine and Biomedical Sciences, University of Yaoundé, Yaoundé, Cameroon
| | - Reuben Ayivor-Djanie
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), College of Basic and Applied Sciences, University of Ghana, Accra, Ghana
- UHAS COVID-19 Testing and Research Centre, University of Health and Allied Sciences, Ho, Ghana
- Department of Biomedical Sciences, University of Health and Allied Sciences, PMB 31, Ho, Ghana
| | - Richard Njouom
- Virology Service, Centre Pasteur of Cameroun, Yaounde, Cameroon
| | - Richard O. Phillips
- Kumasi Centre for Collaborative Research in Tropical Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Richmond Gorman
- Kumasi Centre for Collaborative Research in Tropical Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | | | - Rosa Maria D. E. S. A. Neto Rodrigues
- Coordenadora da rede do Diagnóstico Tuberculose/HIV/COVID-19 na Instituição - Laboratório Nacional de Referência da Tuberculose em São Tomé e Príncipe, São Tomé, São Tomé and Principe
- Ponto focal para Melhoria da qualidade dos Laboratórios (SLIPTA) ao nível de São Tomé e Príncipe, São Tomé, São Tomé and Principe
| | - Rosemary A. Audu
- The Nigerian Institute of Medical Research, Yaba, Lagos, Nigeria
| | - Rosina A. A. Carr
- UHAS COVID-19 Testing and Research Centre, University of Health and Allied Sciences, Ho, Ghana
- Department of Biomedical Sciences, University of Health and Allied Sciences, PMB 31, Ho, Ghana
| | - Saba Gargouri
- CHU Habib Bourguiba, Laboratory of Microbiology, Faculty of Medicine of Sfax, University of Sfax, Sfax, Tunisia
| | - Saber Masmoudi
- Laboratory of Molecular and Cellular Screening Processes, Centre of Biotechnology of Sfax, University of Sfax, Sfax, Tunisia
| | | | - Safietou Sankhe
- Virology Department, Institut Pasteur de Dakar, Dakar, Senegal
| | | | - Saibu Femi
- African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun State, Nigeria
| | - Salma Mhalla
- University of Tunis El Manar, Faculty of Medicine of Tunis, Research Laboratory LR99ES09, Tunis, Tunisia
- Faculty of Medicine of Monastir, University of Monastir, Monastir, Tunisia
| | - Salome Hosch
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Samar Kamal Kassim
- Faculty of Medicine Ain Shams Research Institute (MASRI), Ain Shams University, Cairo, Egypt
| | - Samar Metha
- Infectious Disease and Microbiome Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Sameh Trabelsi
- Clinical and Experimental Pharmacology Lab, LR16SP02, National Center of Pharmacovigilance, University of Tunis El Manar, Tunis, Tunisia
| | - Sara Hassan Agwa
- Faculty of Medicine Ain Shams Research Institute (MASRI), Ain Shams University, Cairo, Egypt
| | - Sarah Wambui Mwangi
- Institute of Pathogen Genomics, Africa Centres for Disease Control and Prevention (Africa CDC), Addis Ababa, Ethiopia
| | - Seydou Doumbia
- University Clinical Research Center (UCRC), University of Sciences, Techniques and Technology of Bamako, Bamako, Mali
| | - Sheila Makiala-Mandanda
- Pathogen Sequencing Lab, Institut National de Recherche Biomédicale (INRB), Kinshasa, the Democratic Republic of the Congo
- Université de Kinshasa (UNIKIN), Kinshasa, the Democratic Republic of the Congo
| | - Sherihane Aryeetey
- Kumasi Centre for Collaborative Research in Tropical Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | | | | | - Siham Elhamoumi
- Infectious Disease and Microbiome Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Sikhulile Moyo
- Botswana Harvard AIDS Institute Partnership and Botswana Harvard HIV Reference Laboratory, Gaborone, Botswana
- Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Silvia Lutucuta
- Grupo de Investigação Microbiana e Imunológica, Instituto Nacional de Investigação em Saúde (National Institute for Health Research), Luanda, Angola
| | - Simani Gaseitsiwe
- Botswana Harvard AIDS Institute Partnership and Botswana Harvard HIV Reference Laboratory, Gaborone, Botswana
- Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Simbirie Jalloh
- Viral Haemorrhagic Fever Laboratory, Kenema Government Hospital, Kenema, Sierra Leone
- Ministry of Health and Sanitation, Freetown, Sierra Leone
| | | | - Sobajo Oguntope
- African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun State, Nigeria
| | | | - Sonia Lekana-Douki
- Centre Interdisciplinaires de Recherches Medicales de Franceville (CIRMF), Franceville, Gabon
| | | | - Soumeya Ouangraoua
- Centre MURAZ, Ouagadougou, Burkina Faso
- National Institute of Public Health of Burkina Faso (INSP/BF), Ouagadougou, Burkina Faso
| | - Stephanie van Wyk
- Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa
| | - Stephen F. Schaffner
- Infectious Disease and Microbiome Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Stephen Kanyerezi
- The African Center of Excellence in Bioinformatics and Data-Intensive Sciences, The Infectious Diseases Institute, Kampala, Uganda
- Immunology and Molecular Biology, Makerere University, Kampala, Uganda
| | - Steve Ahuka-Mundeke
- Pathogen Sequencing Lab, Institut National de Recherche Biomédicale (INRB), Kinshasa, the Democratic Republic of the Congo
- Université de Kinshasa (UNIKIN), Kinshasa, the Democratic Republic of the Congo
| | | | - Sureshnee Pillay
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Susan Nabadda
- Central Public Health Laboratories (CPHL), Kampala, Uganda
| | - Sylvie Behillil
- National Reference Center for Respiratory Viruses, Molecular Genetics of RNA Viruses, UMR 3569 CNRS, Université Paris Cité, Institut Pasteur, Paris, France
| | | | - Sylvie van der Werf
- National Reference Center for Respiratory Viruses, Molecular Genetics of RNA Viruses, UMR 3569 CNRS, Université Paris Cité, Institut Pasteur, Paris, France
| | - Tapfumanei Mashe
- National Microbiology Reference Laboratory, Harare, Zimbabwe
- World Health Organization, Harare, Zimbabwe
| | - Thabo Mohale
- National Institute for Communicable Diseases (NICD) of the National Health Laboratory Service (NHLS), Johannesburg, South Africa
| | | | - Thirumalaisamy P. Velavan
- Institute of Tropical Medicine, Universitätsklinikum Tübingen, Tübingen, Germany
- Vietnamese-German Center for Medical Research, Hanoi, Vietnam
| | - Tobias Schindler
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- Laboratorio de Investigaciones de Baney, Baney, Equatorial Guinea
- University of Basel, Basel, Switzerland
| | - Tongai G. Maponga
- Division of Medical Virology, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, Cape Town, South Africa
| | - Trevor Bedford
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Howard Hughes Medical Institute, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Ugochukwu J. Anyaneji
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Ugwu Chinedu
- African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun State, Nigeria
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede, Osun State, Nigeria
| | - Upasana Ramphal
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa
- Sub-Saharan African Network For TB/HIV Research Excellence (SANTHE), Durban, South Africa
| | - Uwem E. George
- African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun State, Nigeria
| | - Vincent Enouf
- National Reference Center for Respiratory Viruses, Molecular Genetics of RNA Viruses, UMR 3569 CNRS, Université Paris Cité, Institut Pasteur, Paris, France
| | - Vishvanath Nene
- International Livestock Research Institute (ILRI), Nairobi, Kenya
| | - Vivianne Gorova
- World Health Organization, WHO Lesotho, Maseru, Lesotho
- Med24 Medical Centre, Ruwa, Zimbabwe
| | | | - Wasim Abdul Karim
- Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa
| | - William K. Ampofo
- Department of Virology, Noguchi Memorial Institute for Medical Research, University of Ghana, Legon, Ghana
| | - Wolfgang Preiser
- Division of Medical Virology, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, Cape Town, South Africa
- National Health Laboratory Service (NHLS), Tygerberg, Cape Town, South Africa
| | - Wonderful T. Choga
- Botswana Harvard AIDS Institute Partnership and Botswana Harvard HIV Reference Laboratory, Gaborone, Botswana
- Division of Human Genetics, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Yahaya Ali Ahmed
- World Health Organization, Africa Region, Brazzaville, Republic of the Congo
| | - Yajna Ramphal
- Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa
| | - Yaw Bediako
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), College of Basic and Applied Sciences, University of Ghana, Accra, Ghana
- Yemaachi Biotech, Accra, Ghana
| | - Yeshnee Naidoo
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Yvan Butera
- Rwanda National Joint Task Force COVID-19, Rwanda Biomedical Centre, Ministry of Health, Kigali, Rwanda
- Center for Human Genetics, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda
- Laboratory of Human Genetics, GIGA Research Institute, Liège, Belgium
| | | | - Africa Pathogen Genomics Initiative (Africa PGI)
- Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
- MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda
- MRC-University of Glasgow Centre for Virus Research, Glasgow, UK
- The Biotechnology Centre of the University of Yaoundé I, Yaoundé, Cameroon
- CDC Foundation, Atlanta, Georgia, Nebraska Department of Health and Human Services, Lincoln, NE, USA
- Institute of Pathogen Genomics, Africa Centres for Disease Control and Prevention (Africa CDC), Addis Ababa, Ethiopia
- Institute of Infectious Diseases and Molecular Medicine, Department of Integrative Biomedical Sciences, Computational Biology Division, University of Cape Town, Cape Town, South Africa
- Division of Medical Virology, Wellcome Centre for Infectious Diseases in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- Virology Department, Institut Pasteur de Dakar, Dakar, Senegal
- National Institute for Communicable Diseases (NICD) of the National Health Laboratory Service (NHLS), Johannesburg, South Africa
- School of Health Sciences, College of Health Sciences, University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa
- Department of Medical Laboratory Sciences, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
- Department of Microbial, Cellular and Molecular Biology, College of Natural and Computational Sciences, Addis Ababa University, Addis Ababa, Ethiopia
- Cancer Biology Department, Virology and Immunology Unit, National Cancer Institute, Cairo University, Cairo, Egypt
- World Health Organization, Africa Region, Brazzaville, Republic of the Congo
- Centre d’Infectiologie Charles Mérieux-Mali (CICM-Mali), Bamako, Mali
- Bacteriology and Virology Department Souro Sanou University Hospital, Bobo-Dioulasso, Burkina Faso
- West African Health Organisation, Bobo-Dioulasso, Burkina Faso
- Faculty of Medicine and Health Sciences, Kassala University, Kassala City, Sudan
- Department of Microbiology, Faculty of Medical Laboratory Sciences, University of Gezira, Gezira, Sudan
- General Administration of Laboratories and Blood Banks, Ministry of Health, Kassala State, Sudan
- MRC Unit The Gambia at LSHTM, Fajara, Gambia
- National Public Health Laboratory, Ministry of Health, Juba, Republic of South Sudan
- Libyan Biotechnology Research Center, Tripoli, Libya
- Center for Medical and Sanitary Research (CERMES), Niamey, Niger
- The Nigerian Institute of Medical Research, Yaba, Lagos, Nigeria
- Laboratoire de la Caisse Nationale de Sécurité Sociale, Djibouti, Republic of Djibouti
- Department of Virology, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Infectious Disease Institute, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Medical Microbiology and Parasitology Department, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Biorepository Clinical Virology Laboratory, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Department of Medical Microbiology and Parasitology, Faculty of Basic Clinical Sciences, College of Health Sciences, University of Ilorin, Ilorin, Kwara State, Nigeria
- The Pirbright Institute, Woking, UK
- Pathogen Sequencing Lab, Institut National de Recherche Biomédicale (INRB), Kinshasa, the Democratic Republic of the Congo
- Université de Kinshasa (UNIKIN), Kinshasa, the Democratic Republic of the Congo
- National Microbiology Reference Laboratory, Harare, Zimbabwe
- Center of Scientific Excellence for Influenza Viruses, National Research Centre (NRC), Cairo, Egypt
- Laboratory of Molecular and Cellular Screening Processes, Centre of Biotechnology of Sfax, University of Sfax, Sfax, Tunisia
- Genomics and Epigenomics Program, Research Department CCHE57357, Cairo, Egypt
- African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun State, Nigeria
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede, Osun State, Nigeria
- Laboratório de Biologia Molecular Jean Piaget, Bissau, Guinea-Bissau
- University Jean Piaget in Guinea-Bissau, Bissau, Guinea-Bissau
- SAMRC Bioinformatics Unit, SA Bioinformatics Institute, University of the Western Cape, Cape Town, South Africa
- Quadram Institute Bioscience, Norwich, UK
- Central Public Health Reference Laboratories, Freetown, Sierra Leone
- Centre de Recherche et de Formation en Infectiologie de Guinée (CERFIG), Université de Conakry, Conakry, Guinea
- TransVIHMI, Institut de Recherche pour le Développement, Institut National de la Santé et de la Recherche Médicale (INSERM), Montpellier University, 34090, Montpellier, France
- University Clinical Research Center (UCRC), University of Sciences, Techniques and Technology of Bamako, Bamako, Mali
- Sharjah Institute for Medical Research, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates
- Central Public Health Laboratories (CPHL), Cairo, Egypt
- National Institute of Public Health, Bujumbura, Burundi
- Laboratoire des Fièvres Hémorragiques Virales du Benin, Cotonou, Benin
- Infectious Disease and Microbiome Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Laboratory of Clinical Virology, WHO Reference Laboratory for Poliomyelitis and Measles in the Eastern Mediterranean Region, Pasteur Institute of Tunis, University Tunis El Manar (UTM), Tunis 1002, Tunisia
- Research Laboratory “Virus, Vectors and Hosts: One Health Apporach and Technological Innovation for a Better Health”, LR20IPT02, Pasteur Institute, Tunis 1002, Tunisia
- Fondation Congolaise pour la Recherche Médicale, Brazzaville, Republic of the Congo
- Marien Ngouabi, Brazzaville, Republic of the Congo
- Kwame Nkrumah University of Science and Technology, Department of Theoretical and Applied Biology, Kumasi, Ghana
- Kumasi Centre for Collaborative Research in Tropical Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
- Viral Haemorrhagic Fever Laboratory, Kenema Government Hospital, Kenema, Sierra Leone
- Ministry of Health and Sanitation, Freetown, Sierra Leone
- Department of Immunology, University of Maiduguri Teaching Hospital, P.M.B. 1414, Maiduguri, Nigeria
- Department of Medical Laboratory Science, College of Medical Sciences, University of Maiduguri, P.M.B. 1069, Maiduguri, Borno State, Nigeria
- Centre Interdisciplinaires de Recherches Medicales de Franceville (CIRMF), Franceville, Gabon
- Département de Parasitologie-Mycologie Université des Sciences de la Santé (USS), Libreville, Gabon
- National HIV Reference Laboratory, Community Health Sciences Unit, Ministry of Health, Lilongwe, Malawi
- African Society for Laboratory Medicine, Addis Ababa, Ethiopia
- National Medical and Molecular Biology Laboratory, Ministry of Health, Djibouti, Republic of Djibouti
- Africa CDC, Rapid Responder, Team Djibouti, Djibouti, Djibouti
- Noguchi Memorial Institute for Medical Research, University of Ghana, Legon, Ghana
- Seychelles Public Health Laboratory, Public Health Authority, Ministry of Health Seychelles, Victoria, Seychelles
- Department of Ecology and Evolution, University of Chicago, Chicago, IL, USA
- Virology Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar
- National Health Laboratory Service (NHLS), Cape Town, South Africa
- Malawi-Liverpool-Wellcome Trust Clinical Research Programme, Blantyre, Malawi
- Liverpool School of Tropical Medicine, Liverpool, UK
- University of Nebraska Medical Center (UNMC), Omaha, NE, USA
- SAMRC Antibody Immunity Research Unit, School of Pathology, University of the Witwatersrand, Johannesburg, South Africa
- CHU de Bouaké, Laboratoire/Unité de Diagnostic des Virus des Fièvres Hémorragiques et Virus Émergents, Bouaké, Côte d’Ivoire
- UFR Sciences Médicales, Universite Alassane Ouattara, Bouaké, Côte d’Ivoire
- School of Public Health, Pwani University, Kilifi, Kenya
- Faculty of Science and Techniques, University Marien Ngouabi, Brazzaville, Republic of the Congo
- Centre for Human Virology and Genomics, Nigerian Institute of Medical Research, Yaba, Lagos, Nigeria
- Nigeria Centre for Disease Control and Prevention, Abuja, Nigeria
- Laboratoire des Arbovirus, Fièvres Hémorragiques virales, Virus Emergents et Zoonoses, Institut Pasteur de Bangui, Bangui, Central African Republic
- Le Laboratoire National de Biologie Clinique et de Santé Publique (LNBCSP), Bangui, Central African Republic
- West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), College of Basic and Applied Sciences, University of Ghana, Accra, Ghana
- Institute of Lassa Fever Research and Control, Irrua Specialist Teaching Hospital, Irrua, Nigeria
- PATH, Lusaka, Zambia
- Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, NC, USA
- Bioinformatics Research Center, North Carolina State University, Raleigh, NC, USA
- School of Life Sciences and Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry, UK
- Uganda Virus Research Institute, Entebbe, Uganda
- PathCare Vermaak, Pretoria, South Africa and Division of Virology, University of the Free State, Bloemfontein, South Africa
- College of Medicine and Allied Health Sciences, University of Sierra Leone, Freetown, Sierra Leone
- Botswana Harvard AIDS Institute Partnership and Botswana Harvard HIV Reference Laboratory, Gaborone, Botswana
- Macha Research Trust, Choma, Zambia
- International Livestock Research Institute (ILRI), Nairobi, Kenya
- INRSP, Nouakchott, Mauritania
- Faculté de Médecine de Nouakchott, Nouakchott, Mauritani
- Rwanda National Reference Laboratory, Kigali, Rwanda
- Robert Koch-Institute, Berlin, Germany
- G5 Evolutionary Genomics of RNA Viruses, Institut Pasteur, Paris, France
- Direcção Nacional da Saúde Pública, Ministério da Saúde, Luanda, Angola
- National Public Health Reference Laboratory–National Public Health Institute of Liberia, Monrovia, Liberia
- Faculty of Pharmacy of Monastir, Monastir, Tunisia
- National Influenza Centre, Institut Pasteur d’Algérie, Algiers, Algeria
- Department of Virology, National Health Laboratory Service (NHLS), Charlotte Maxeke Johannesburg Academic Hospital, Johannesburg, South Africa
- School of Pathology, Faculty of Health Science, University of the Witwatersrand, Johannesburg, South Africa
- Institute of Tropical Medicine, Universitätsklinikum Tübingen, Tübingen, Germany
- Ministère de Santé Publique et de la Solidarité Nationale, Ndjamena, Chad
- WHO Int Comoros, Moroni, Union of Comoros
- World Health Organization, Africa Region, Brazzaville, Republic of the Congo
- Division of Medical Virology, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, Cape Town, South Africa
- National Health Laboratory Service (NHLS), Tygerberg, Cape Town, South Africa
- UHAS COVID-19 Testing and Research Centre, University of Health and Allied Sciences, Ho, Ghana
- Department of Biomedical Sciences, University of Health and Allied Sciences, PMB 31, Ho, Ghana
- Ministry of Health, COVID-19 Testing Laboratory, Mbabane, Kingdom of Eswatini
- Satellite Molecular Laboratory, Rivers State University Teaching Hospital, Port Harcourt, Nigeria
- Department of Emerging Infectious Diseases, Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan
- CHU Habib Bourguiba, Laboratory of Microbiology, Faculty of Medicine of Sfax, University of Sfax, Sfax, Tunisia
- Central Public Health Laboratories (CPHL), Kampala, Uganda
- Institut Pasteur de Côte d’Ivoire, Departement des Virus Epidemiques, Abidjan, Côte d’Ivoire
- Faculty of Medicine Ain Shams Research Institute (MASRI), Ain Shams University, Cairo, Egypt
- Doctoral School of Technical and Environmental Sciences, Department of Biology and Human Health, N’Djamena, Chad
- Department of Infectious Diseases Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
- Charles Nicolle Hospital, Laboratory of Microbiology, National Influenza Center, Tunis, Tunisia
- University of Tunis El Manar, Faculty of Medicine of Tunis, Research Laboratory LR99ES09, Tunis, Tunisia
- College of Medicine and Allied Health Science, University of Sierra Leone, Freetown, Sierra Leone
- Namibia Institute of Pathology, Windhoek, Namibia
- National Institute of Hygiene, Lomé, Togo
- Virology/Molecular Biology Department, Central Health Laboratory, Victoria Hospital, Ministry of Health and Wellness, Port Louis, Mauritius
- Department of Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
- WHO Burundi, Gitega, Burundi
- Grupo de Investigação Microbiana e Imunológica, Instituto Nacional de Investigação em Saúde (National Institute for Health Research), Luanda, Angola
- Departamento de Bioquímica, Faculdade de Medicina, Universidade Agostinho Neto, Luanda, Angola
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
- Institute of Agricultural Sciences, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Unaí, Brazil
- WHO South Sudan, Juba, South Sudan
- Faculty of Medicine, University of Burundi, Bujumbura, Burundi
- Pasteur Network, Institut Pasteur, Paris, France
- Botswana Institute for Technology Research and Innovation, Gaborone, Botswana
- Instituto Nacional de Saúde Pública, Praia, Cape Verde
- Zambia National Public Health Institute, Lusaka, Zambia
- Public Health Institute of Malawi, Lilongwe, Malawi
- National Health Laboratory, Gaborone, Botswana
- Laboratory of Transmissible Diseases and Biologically Active Substances (LR99ES27), Faculty of Pharmacy, University of Monastir, Monastir, Tunisia
- Laboratory of Microbiology, University Hospital of Monastir, Monastir, Tunisia
- Biomedical Informatics and Chemoinformatics Group, Informatics and Systems Department, National Research Centre, Cairo, Egypt
- Ministry of Health and Wellness, Gaborone, Botswana
- Eastern Technical University of Sierra Leone, Kenema, Sierra Leone
- Zoonotic Arbo and Respiratory Virus Program, Centre for Viral Zoonoses, Department of Medical Virology, University of Pretoria, Pretoria, South Africa
- Next Generation Sequencing Unit and Division of Virology, Faculty of Health Sciences, University of the Free State, Bloemfontein, South Africa
- National Reference Laboratory Lesotho, Maseru, Lesotho
- Centre for Biotechnology Research and Development, Kenya Medical Research Institute, Nairobi, Kenya
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- Laboratorio de Investigaciones de Baney, Baney, Equatorial Guinea
- Ifakara Health Insitute, Ifakara, Tanzania
- Department of Medical Diagnostics, Kumasi Centre for Collaborative Research in Tropical Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
- PraesensBio, Lincoln, NE, USA
- Department of Medical Laboratory Science, Niger Delta University, Bayelsa State, Nigeria
- Systems and Biomedical Engineering Department, Faculty of Engineering, Cairo University, Cairo, Egypt
- King Faisal Specialist Hospital and Research Center, Riyadh, Kingdom of Saudi Arabia
- Biological Prevention Department, Ministry of Defence, Cairo, Egypt
- Faculty of Science, Fayoum University, Fayoum, Egypt
- Molecular Pathology Lab, Children’s Cancer Hospital, Cairo, Egypt
- Laboratoire Biolim FSS/Université de Lomé, Lomé, Togo
- Department of Genetics and Genomics, College of Medicine and Health Sciences, United Arab Emirates University, Abu Dhabi, United Arab Emirates
- High Institute of Biotechnology of Monastir, University of Monastir, Rue Taher Haddad 5000, Monastir, Tunisia
- Rwanda National Joint Task Force COVID-19, Rwanda Biomedical Centre, Ministry of Health, Kigali, Rwanda
- School of Health Sciences, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda
- Department of Microbiology, Faculty of Medical Laboratory Sciences, Omdurman Islamic University, Sudan
- Instituto Nacional de Saúde (INS), Marracuene, Mozambique
- Department of Disease Control, School of Veterinary Medicine, University of Zambia, Lusaka, Zambia
- Internal Medicine Department, Alex Ekwueme Federal University Teaching Hospital, Abakaliki, Nigeria
- Institut Pasteur de Guinée, Conarky, Guinea
- Virology Laboratory, Alex Ekwueme Federal University Teaching Hospital, Abakaliki, Nigeria
- Department of Epidemiology and Community Health, Faculty of Clinical Sciences. College of Health Sciences. University of Ilorin, Ilorin, Kwara State, Nigeria
- Department of Public Health, Ministry of Health, Ilorin, Kwara State, Nigeria
- Alex Ekwueme Federal University Teaching Hospital, Abakaliki, Nigeria
- Mayotte Hospital Center, Mayotte, France
- The African Center of Excellence in Bioinformatics and Data-Intensive Sciences, The Infectious Diseases Institute, Kampala, Uganda
- Immunology and Molecular Biology, Makerere University, Kampala, Uganda
- Department of Medicine, Faculty of Clinical Sciences, College of Medicine, Ambrose Alli University, Ekpoma, Edo State, Nigeria
- Division of Virology, National Health Laboratory Service and University of the Free State, Bloemfontein, South Africa
- Infectious Hazards Preparedness, World Health Organization, Eastern Mediterranean Regional Office, Cairo, Egypt
- Department of Microbiology and Immunology, Faculty of Pharmacy, Cairo University, Cairo, Egypt
- Microbiology and Immunology Research Program, Children’s Cancer Hospital Egypt, Cairo, Egypt
- National Public Health Laboratory, Ministry of Public Health of Cameroon, Yaoundé, Cameroon
- Faculty of Medicine and Biomedical Sciences, University of Yaoundé, Yaoundé, Cameroon
- Virology Service, Centre Pasteur of Cameroun, Yaounde, Cameroon
- Coordenadora da rede do Diagnóstico Tuberculose/HIV/COVID-19 na Instituição - Laboratório Nacional de Referência da Tuberculose em São Tomé e Príncipe, São Tomé, São Tomé and Principe
- Ponto focal para Melhoria da qualidade dos Laboratórios (SLIPTA) ao nível de São Tomé e Príncipe, São Tomé, São Tomé and Principe
- National Public Health Reference Laboratory (NPHRL), Mogadishu, Somalia
- Faculty of Medicine of Monastir, University of Monastir, Monastir, Tunisia
- University of Basel, Basel, Switzerland
- Clinical and Experimental Pharmacology Lab, LR16SP02, National Center of Pharmacovigilance, University of Tunis El Manar, Tunis, Tunisia
- Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Centre MURAZ, Ouagadougou, Burkina Faso
- National Institute of Public Health of Burkina Faso (INSP/BF), Ouagadougou, Burkina Faso
- National Reference Center for Respiratory Viruses, Molecular Genetics of RNA Viruses, UMR 3569 CNRS, Université Paris Cité, Institut Pasteur, Paris, France
- World Health Organization, Harare, Zimbabwe
- Vietnamese-German Center for Medical Research, Hanoi, Vietnam
- Howard Hughes Medical Institute, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Sub-Saharan African Network For TB/HIV Research Excellence (SANTHE), Durban, South Africa
- World Health Organization, WHO Lesotho, Maseru, Lesotho
- Med24 Medical Centre, Ruwa, Zimbabwe
- Department of Virology, Noguchi Memorial Institute for Medical Research, University of Ghana, Legon, Ghana
- Division of Human Genetics, Department of Pathology, University of Cape Town, Cape Town, South Africa
- Yemaachi Biotech, Accra, Ghana
- Center for Human Genetics, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda
- Laboratory of Human Genetics, GIGA Research Institute, Liège, Belgium
- Department of Biochemistry and Biotechnology, Pwani University, Kilifi, Kenya
- Department of Global Health, University of Washington, Seattle, WA, USA
| | - Ahmed E. O. Ouma
- Institute of Pathogen Genomics, Africa Centres for Disease Control and Prevention (Africa CDC), Addis Ababa, Ethiopia
| | - Anne von Gottberg
- National Institute for Communicable Diseases (NICD) of the National Health Laboratory Service (NHLS), Johannesburg, South Africa
- School of Pathology, Faculty of Health Science, University of the Witwatersrand, Johannesburg, South Africa
| | - George Githinji
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- Department of Biochemistry and Biotechnology, Pwani University, Kilifi, Kenya
| | - Matshidiso Moeti
- World Health Organization, Africa Region, Brazzaville, Republic of the Congo
| | - Oyewale Tomori
- African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun State, Nigeria
| | - Pardis C. Sabeti
- Infectious Disease and Microbiome Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Amadou A. Sall
- Virology Department, Institut Pasteur de Dakar, Dakar, Senegal
| | - Samuel O. Oyola
- International Livestock Research Institute (ILRI), Nairobi, Kenya
| | - Yenew K. Tebeje
- Institute of Pathogen Genomics, Africa Centres for Disease Control and Prevention (Africa CDC), Addis Ababa, Ethiopia
| | - Sofonias K. Tessema
- Institute of Pathogen Genomics, Africa Centres for Disease Control and Prevention (Africa CDC), Addis Ababa, Ethiopia
| | - Tulio de Oliveira
- Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa
- Department of Global Health, University of Washington, Seattle, WA, USA
| | - Christian Happi
- African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun State, Nigeria
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede, Osun State, Nigeria
| | - Richard Lessells
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - John Nkengasong
- Institute of Pathogen Genomics, Africa Centres for Disease Control and Prevention (Africa CDC), Addis Ababa, Ethiopia
| | - Eduan Wilkinson
- Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
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18
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Ojal J, Brand SPC, Were V, Okiro EA, Kombe IK, Mburu C, Aziza R, Ogero M, Agweyu A, Warimwe GM, Uyoga S, Adetifa IMO, Scott JAG, Otieno E, Ochola-Oyier LI, Agoti CN, Kasera K, Amoth P, Mwangangi M, Aman R, Ng’ang’a W, Tsofa B, Bejon P, Barasa E, Keeling MJ, Nokes DJ. Revealing the extent of the first wave of the COVID-19 pandemic in Kenya based on serological and PCR-test data. Wellcome Open Res 2022; 6:127. [PMID: 36187498 PMCID: PMC9511207 DOI: 10.12688/wellcomeopenres.16748.3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/14/2022] [Indexed: 02/02/2023] Open
Abstract
Policymakers in Africa need robust estimates of the current and future spread of SARS-CoV-2. We used national surveillance PCR test, serological survey and mobility data to develop and fit a county-specific transmission model for Kenya up to the end of September 2020, which encompasses the first wave of SARS-CoV-2 transmission in the country. We estimate that the first wave of the SARS-CoV-2 pandemic peaked before the end of July 2020 in the major urban counties, with 30-50% of residents infected. Our analysis suggests, first, that the reported low COVID-19 disease burden in Kenya cannot be explained solely by limited spread of the virus, and second, that a 30-50% attack rate was not sufficient to avoid a further wave of transmission.
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Affiliation(s)
- John Ojal
- Kenya Medical Research Institute - Wellcome Trust Research programme, Kilifi, Kenya
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Samuel P. C. Brand
- The Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry, UK
- School of Life Sciences, University of Warwick, Coventry, UK
| | - Vincent Were
- Health Economics Research Unit, Kenya Medical Research Institute - Wellcome Trust Research Programme, Nairobi, Kenya
| | - Emelda A. Okiro
- Population Health Unit, Kenya Medical Research Institute - Wellcome Trust Research programme, Nairobi, Kenya
| | - Ivy K. Kombe
- Kenya Medical Research Institute - Wellcome Trust Research programme, Kilifi, Kenya
| | - Caroline Mburu
- Kenya Medical Research Institute - Wellcome Trust Research programme, Kilifi, Kenya
| | - Rabia Aziza
- The Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry, UK
- School of Life Sciences, University of Warwick, Coventry, UK
| | - Morris Ogero
- Health Economics Research Unit, Kenya Medical Research Institute - Wellcome Trust Research Programme, Nairobi, Kenya
| | - Ambrose Agweyu
- Kenya Medical Research Institute - Wellcome Trust Research programme, Kilifi, Kenya
| | - George M. Warimwe
- Kenya Medical Research Institute - Wellcome Trust Research programme, Kilifi, Kenya
| | - Sophie Uyoga
- Kenya Medical Research Institute - Wellcome Trust Research programme, Kilifi, Kenya
| | - Ifedayo M. O. Adetifa
- Kenya Medical Research Institute - Wellcome Trust Research programme, Kilifi, Kenya
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - J. Anthony G. Scott
- Kenya Medical Research Institute - Wellcome Trust Research programme, Kilifi, Kenya
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Edward Otieno
- Health Economics Research Unit, Kenya Medical Research Institute - Wellcome Trust Research Programme, Nairobi, Kenya
| | | | - Charles N. Agoti
- Kenya Medical Research Institute - Wellcome Trust Research programme, Kilifi, Kenya
- School of Public Health, Pwani University, Kilifi, Kenya
| | | | - Patrick Amoth
- Ministry of Health, Government of Kenya, Nairobi, Kenya
| | | | - Rashid Aman
- Ministry of Health, Government of Kenya, Nairobi, Kenya
| | - Wangari Ng’ang’a
- Presidential Policy & Strategy Unit, The Presidency, Government of Kenya, Nairobi, Kenya
| | - Benjamin Tsofa
- Kenya Medical Research Institute - Wellcome Trust Research programme, Kilifi, Kenya
| | - Philip Bejon
- Kenya Medical Research Institute - Wellcome Trust Research programme, Kilifi, Kenya
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Edwine Barasa
- Health Economics Research Unit, Kenya Medical Research Institute - Wellcome Trust Research Programme, Nairobi, Kenya
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Matt J. Keeling
- The Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry, UK
| | - D. James Nokes
- Kenya Medical Research Institute - Wellcome Trust Research programme, Kilifi, Kenya
- The Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry, UK
- School of Life Sciences, University of Warwick, Coventry, UK
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19
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Etyang AO, Adetifa I, Omore R, Misore T, Ziraba AK, Ng’oda MA, Gitau E, Gitonga J, Mugo D, Kutima B, Karanja H, Toroitich M, Nyagwange J, Tuju J, Wanjiku P, Aman R, Amoth P, Mwangangi M, Kasera K, Ng’ang’a W, Akech D, Sigilai A, Karia B, Karani A, Voller S, Agoti CN, Ochola-Oyier LI, Otiende M, Bottomley C, Nyaguara A, Uyoga S, Gallagher K, Kagucia EW, Onyango D, Tsofa B, Mwangangi J, Maitha E, Barasa E, Bejon P, Warimwe GM, Scott JAG, Agweyu A. SARS-CoV-2 seroprevalence in three Kenyan health and demographic surveillance sites, December 2020-May 2021. PLOS Glob Public Health 2022; 2:e0000883. [PMID: 36962821 PMCID: PMC10021917 DOI: 10.1371/journal.pgph.0000883] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 07/12/2022] [Indexed: 11/19/2022]
Abstract
BACKGROUND Most of the studies that have informed the public health response to the COVID-19 pandemic in Kenya have relied on samples that are not representative of the general population. We conducted population-based serosurveys at three Health and Demographic Surveillance Systems (HDSSs) to determine the cumulative incidence of infection with SARS-CoV-2. METHODS We selected random age-stratified population-based samples at HDSSs in Kisumu, Nairobi and Kilifi, in Kenya. Blood samples were collected from participants between 01 Dec 2020 and 27 May 2021. No participant had received a COVID-19 vaccine. We tested for IgG antibodies to SARS-CoV-2 spike protein using ELISA. Locally-validated assay sensitivity and specificity were 93% (95% CI 88-96%) and 99% (95% CI 98-99.5%), respectively. We adjusted prevalence estimates using classical methods and Bayesian modelling to account for the sampling scheme and assay performance. RESULTS We recruited 2,559 individuals from the three HDSS sites, median age (IQR) 27 (10-78) years and 52% were female. Seroprevalence at all three sites rose steadily during the study period. In Kisumu, Nairobi and Kilifi, seroprevalences (95% CI) at the beginning of the study were 36.0% (28.2-44.4%), 32.4% (23.1-42.4%), and 14.5% (9.1-21%), and respectively; at the end they were 42.0% (34.7-50.0%), 50.2% (39.7-61.1%), and 24.7% (17.5-32.6%), respectively. Seroprevalence was substantially lower among children (<16 years) than among adults at all three sites (p≤0.001). CONCLUSION By May 2021 in three broadly representative populations of unvaccinated individuals in Kenya, seroprevalence of anti-SARS-CoV-2 IgG was 25-50%. There was wide variation in cumulative incidence by location and age.
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Affiliation(s)
| | - Ifedayo Adetifa
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Richard Omore
- Kenya Medical Research Institute Centre for Global Health Research, Kisumu, Kenya
| | - Thomas Misore
- Kenya Medical Research Institute Centre for Global Health Research, Kisumu, Kenya
| | | | | | - Evelyn Gitau
- African Population and Health Research Center, Nairobi, Kenya
| | - John Gitonga
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Daisy Mugo
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | | | - Henry Karanja
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | | | | | - James Tuju
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | | | | | | | | | | | - Wangari Ng’ang’a
- Presidential Policy and Strategy Unit, The Presidency, Government of Kenya, Nairobi, Kenya
| | - Donald Akech
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | | | | | - Angela Karani
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Shirine Voller
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- London School of Hygiene and Tropical Medicine, London, United Kingdom
| | | | | | - Mark Otiende
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | | | - Amek Nyaguara
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Sophie Uyoga
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | | | | | | | | | | | | | - Edwine Barasa
- Health Economics Research Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, Oxford University, Oxford, United Kingdom
| | - Philip Bejon
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, Oxford University, Oxford, United Kingdom
| | - George M. Warimwe
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, Oxford University, Oxford, United Kingdom
| | - J. Anthony G. Scott
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- London School of Hygiene and Tropical Medicine, London, United Kingdom
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20
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Orangi S, Ojal J, Brand SP, Orlendo C, Kairu A, Aziza R, Ogero M, Agweyu A, Warimwe GM, Uyoga S, Otieno E, Ochola-Oyier LI, Agoti CN, Kasera K, Amoth P, Mwangangi M, Aman R, Ng'ang'a W, Adetifa IM, Scott JAG, Bejon P, Keeling MJ, Flasche S, Nokes DJ, Barasa E. Epidemiological impact and cost-effectiveness analysis of COVID-19 vaccination in Kenya. BMJ Glob Health 2022; 7:e009430. [PMID: 35914832 PMCID: PMC9344598 DOI: 10.1136/bmjgh-2022-009430] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 06/22/2022] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND A few studies have assessed the epidemiological impact and the cost-effectiveness of COVID-19 vaccines in settings where most of the population had been exposed to SARS-CoV-2 infection. METHODS We conducted a cost-effectiveness analysis of COVID-19 vaccine in Kenya from a societal perspective over a 1.5-year time frame. An age-structured transmission model assumed at least 80% of the population to have prior natural immunity when an immune escape variant was introduced. We examine the effect of slow (18 months) or rapid (6 months) vaccine roll-out with vaccine coverage of 30%, 50% or 70% of the adult (>18 years) population prioritising roll-out in those over 50-years (80% uptake in all scenarios). Cost data were obtained from primary analyses. We assumed vaccine procurement at US$7 per dose and vaccine delivery costs of US$3.90-US$6.11 per dose. The cost-effectiveness threshold was US$919.11. FINDINGS Slow roll-out at 30% coverage largely targets those over 50 years and resulted in 54% fewer deaths (8132 (7914-8373)) than no vaccination and was cost saving (incremental cost-effectiveness ratio, ICER=US$-1343 (US$-1345 to US$-1341) per disability-adjusted life-year, DALY averted). Increasing coverage to 50% and 70%, further reduced deaths by 12% (810 (757-872) and 5% (282 (251-317) but was not cost-effective, using Kenya's cost-effectiveness threshold (US$919.11). Rapid roll-out with 30% coverage averted 63% more deaths and was more cost-saving (ICER=US$-1607 (US$-1609 to US$-1604) per DALY averted) compared with slow roll-out at the same coverage level, but 50% and 70% coverage scenarios were not cost-effective. INTERPRETATION With prior exposure partially protecting much of the Kenyan population, vaccination of young adults may no longer be cost-effective.
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Affiliation(s)
- Stacey Orangi
- Health Economics Research Unit, KEMRI-Wellcome Trust Research Programme Nairobi, Nairobi, Kenya
- Institute of Healthcare Management, Strathmore University, Nairobi, Kenya
| | - John Ojal
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya
- The Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | - Samuel Pc Brand
- The Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry, UK
- School of Life Sciences, University of Warwick, Coventry, UK
| | - Cameline Orlendo
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Angela Kairu
- Health Economics Research Unit, KEMRI-Wellcome Trust Research Programme Nairobi, Nairobi, Kenya
| | - Rabia Aziza
- The Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry, UK
- School of Life Sciences, University of Warwick, Coventry, UK
| | - Morris Ogero
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Ambrose Agweyu
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - George M Warimwe
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Sophie Uyoga
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Edward Otieno
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Lynette I Ochola-Oyier
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Charles N Agoti
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya
| | | | - Patrick Amoth
- Ministry of Health, Government of Kenya, Nairobi, Kenya
| | | | - Rashid Aman
- Ministry of Health, Government of Kenya, Nairobi, Kenya
| | - Wangari Ng'ang'a
- Presidential Policy & Strategy Unit, The Presidency, Government of Kenya, Nairobi, Kenya
| | - Ifedayo Mo Adetifa
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya
- The Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | - J Anthony G Scott
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya
- The Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | - Philip Bejon
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Matt J Keeling
- The Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry, UK
- School of Life Sciences, University of Warwick, Coventry, UK
- Mathematics Institute, University of Warwick, Coventry, UK
| | - Stefan Flasche
- The Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | - D James Nokes
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya
- The Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry, UK
- School of Life Sciences, University of Warwick, Coventry, UK
| | - Edwine Barasa
- Health Economics Research Unit, KEMRI-Wellcome Trust Research Programme Nairobi, Nairobi, Kenya
- Institute of Healthcare Management, Strathmore University, Nairobi, Kenya
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
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21
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Agoti CN, Ochola-Oyier LI, Dellicour S, Mohammed KS, Lambisia AW, de Laurent ZR, Morobe JM, Mburu MW, Omuoyo DO, Ongera EM, Ndwiga L, Maitha E, Kitole B, Suleiman T, Mwakinangu M, Nyambu JK, Otieno J, Salim B, Musyoki J, Murunga N, Otieno E, Kiiru JN, Kasera K, Amoth P, Mwangangi M, Aman R, Kinyanjui S, Warimwe G, Phan M, Agweyu A, Cotten M, Barasa E, Tsofa B, Nokes DJ, Bejon P, Githinji G. Transmission networks of SARS-CoV-2 in Coastal Kenya during the first two waves: A retrospective genomic study. eLife 2022; 11:71703. [PMID: 35699426 PMCID: PMC9282859 DOI: 10.7554/elife.71703] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Accepted: 06/10/2022] [Indexed: 11/24/2022] Open
Abstract
Background Detailed understanding of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) regional transmission networks within sub-Saharan Africa is key for guiding local public health interventions against the pandemic. Methods Here, we analysed 1139 SARS-CoV-2 genomes from positive samples collected between March 2020 and February 2021 across six counties of Coastal Kenya (Mombasa, Kilifi, Taita Taveta, Kwale, Tana River, and Lamu) to infer virus introductions and local transmission patterns during the first two waves of infections. Virus importations were inferred using ancestral state reconstruction, and virus dispersal between counties was estimated using discrete phylogeographic analysis. Results During Wave 1, 23 distinct Pango lineages were detected across the six counties, while during Wave 2, 29 lineages were detected; 9 of which occurred in both waves and 4 seemed to be Kenya specific (B.1.530, B.1.549, B.1.596.1, and N.8). Most of the sequenced infections belonged to lineage B.1 (n = 723, 63%), which predominated in both Wave 1 (73%, followed by lineages N.8 [6%] and B.1.1 [6%]) and Wave 2 (56%, followed by lineages B.1.549 [21%] and B.1.530 [5%]). Over the study period, we estimated 280 SARS-CoV-2 virus importations into Coastal Kenya. Mombasa City, a vital tourist and commercial centre for the region, was a major route for virus imports, most of which occurred during Wave 1, when many Coronavirus Disease 2019 (COVID-19) government restrictions were still in force. In Wave 2, inter-county transmission predominated, resulting in the emergence of local transmission chains and diversity. Conclusions Our analysis supports moving COVID-19 control strategies in the region from a focus on international travel to strategies that will reduce local transmission. Funding This work was funded by The Wellcome (grant numbers: 220985, 203077/Z/16/Z, 220977/Z/20/Z, and 222574/Z/21/Z) and the National Institute for Health and Care Research (NIHR), project references: 17/63/and 16/136/33 using UK Aid from the UK government to support global health research, The UK Foreign, Commonwealth and Development Office. The views expressed in this publication are those of the author(s) and not necessarily those of the funding agencies.
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Affiliation(s)
- Charles N Agoti
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya.,Pwani University, Kilifi, Kenya
| | | | - Simon Dellicour
- Spatial Epidemiology Lab (SpELL), Université Libre de Bruxelles, Bruxelles, Belgium.,Department of Microbiology, Immunology and Transplantation, Rega Institute, Laboratory for Clinical and Epidemiological Virology, KU Leuven, University of Leuven, Leuven, Belgium
| | - Khadija Said Mohammed
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Arnold W Lambisia
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Zaydah R de Laurent
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya
| | - John M Morobe
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Maureen W Mburu
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Donwilliams O Omuoyo
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Edidah M Ongera
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Leonard Ndwiga
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya
| | | | | | | | | | | | | | | | - Jennifer Musyoki
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Nickson Murunga
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Edward Otieno
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya
| | | | | | | | | | | | - Samson Kinyanjui
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya.,Pwani University, Kilifi, Kenya.,Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - George Warimwe
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya.,Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - My Phan
- Medical Research Centre (MRC)/ Uganda Virus Research Institute, Entebbe, Uganda
| | - Ambrose Agweyu
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Matthew Cotten
- Medical Research Centre (MRC)/ Uganda Virus Research Institute, Entebbe, Uganda.,MRC-University of Glasgow Centre for Virus Research, Glasgow, United Kingdom
| | - Edwine Barasa
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Benjamin Tsofa
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya
| | - D James Nokes
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya.,University of Warwick, Coventry, United Kingdom
| | - Philip Bejon
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya.,Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - George Githinji
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya.,Pwani University, Kilifi, Kenya
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22
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Requejo J, Strong K, Agweyu A, Billah SM, Boschi-Pinto C, Horiuchi S, Jamaluddine Z, Lazzerini M, Maiga A, McKerrow N, Munos M, Park L, Schellenberg J, Weigel R. Measuring and monitoring child health and wellbeing: recommendations for tracking progress with a core set of indicators in the Sustainable Development Goals era. Lancet Child Adolesc Health 2022; 6:345-352. [PMID: 35429452 PMCID: PMC9764429 DOI: 10.1016/s2352-4642(22)00039-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 01/31/2022] [Accepted: 02/02/2022] [Indexed: 06/14/2023]
Abstract
Although great improvements in child survival were achieved in the past two decades, progress has been uneven within and across countries, and the COVID-19 pandemic threatens to reverse previous advances. Demographic and epidemiological transitions around the world have resulted in shifts in the causes and distribution of child death and diseases, and many children are living with short-term and long-term chronic illnesses and disabilities. These changes, plus global threats such as pandemics, transnational and national security issues, and climate change, mean that regular monitoring of child health and wellbeing is essential if we are to achieve the Sustainable Development Goals. This Health Policy describes the three-phased process undertaken by the Child Health Accountability Tracking technical advisory group (CHAT) to develop a core set of indicators on child health and wellbeing for global monitoring purposes, and presents CHAT's research recommendations to address data gaps. CHAT reached consensus on 20 core indicators specific to the health sector, which include 11 impact-level indicators and nine outcome-level indicators that cover the topics of: acute conditions and prevention; health promotion and child development; and chronic conditions, disabilities, injuries, and violence against children. An additional six indicators (three impact and three outcome) that capture information on child health issues such as malaria and HIV are recommended; however, these indicators are only relevant to high-burden regions. CHAT's four research priorities will require investments in health information systems and measurement activities. These investments will help to increase data on children aged 5-9 years; develop standard metadata and data collection processes to enable cross-country comparisons and progress assessments over time; reach a global consensus on essential interventions and associated indicators for monitoring emerging priority areas such as child development, chronic conditions, disabilities, and injuries; and implement strategies to increase the uptake of data on child health to improve evidence-based planning, programming, and advocacy efforts.
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Affiliation(s)
- Jennifer Requejo
- Division of Data, Analytics, Planning and Monitoring, United Nations Children's Fund, New York, NY, USA.
| | - Kathleen Strong
- Maternal, Newborn, Child and Adolescent Health and Aging Department, World Health Organization, Geneva, Switzerland
| | - Ambrose Agweyu
- Epidemiology and Demography Department, Kenya Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya
| | - Sk Masum Billah
- Maternal and Child Health Division, International Centre of Diarrhoeal Disease Research, Dhaka, Bangladesh
| | - Cynthia Boschi-Pinto
- Departamento de Epidemiologia e Bioestatistica, Instituto de Saude Coletiva, University Federal Fluminense, Rio de Janeiro, Brazil
| | - Sayaka Horiuchi
- Center for Birth Cohort Studies, University of Yamanashi, Chuo-shi, Japan
| | | | - Marzia Lazzerini
- World Health Organization Collaborating Centre for Maternal and Child Health, Institute for Maternal and Child Health, Istituto di Ricovero e Cura a Carattere Scientifico Burlo Garofolo, Trieste, Italy
| | - Abdoulaye Maiga
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Neil McKerrow
- Department of Paediatrics and Child Health, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Melinda Munos
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Lois Park
- University of Southern California, Los Angeles, CA, USA
| | | | - Ralf Weigel
- School of Medicine, Faculty of Health, Witten/Herdecke University, Witten, Germany
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23
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Muchiri SK, Muthee R, Kiarie H, Sitienei J, Agweyu A, Atkinson PM, Edson Utazi C, Tatem AJ, Alegana VA. Unmet need for COVID-19 vaccination coverage in Kenya. Vaccine 2022; 40:2011-2019. [PMID: 35184925 PMCID: PMC8841160 DOI: 10.1016/j.vaccine.2022.02.035] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 01/30/2022] [Accepted: 02/07/2022] [Indexed: 11/30/2022]
Abstract
COVID-19 has impacted the health and livelihoods of billions of people since it emerged in 2019. Vaccination for COVID-19 is a critical intervention that is being rolled out globally to end the pandemic. Understanding the spatial inequalities in vaccination coverage and access to vaccination centres is important for planning this intervention nationally. Here, COVID-19 vaccination data, representing the number of people given at least one dose of vaccine, a list of the approved vaccination sites, population data and ancillary GIS data were used to assess vaccination coverage, using Kenya as an example. Firstly, physical access was modelled using travel time to estimate the proportion of population within 1 hour of a vaccination site. Secondly, a Bayesian conditional autoregressive (CAR) model was used to estimate the COVID-19 vaccination coverage and the same framework used to forecast coverage rates for the first quarter of 2022. Nationally, the average travel time to a designated COVID-19 vaccination site (n = 622) was 75.5 min (Range: 62.9 - 94.5 min) and over 87% of the population >18 years reside within 1 hour to a vaccination site. The COVID-19 vaccination coverage in December 2021 was 16.70% (95% CI: 16.66 - 16.74) - 4.4 million people and was forecasted to be 30.75% (95% CI: 25.04 - 36.96) - 8.1 million people by the end of March 2022. Approximately 21 million adults were still unvaccinated in December 2021 and, in the absence of accelerated vaccine uptake, over 17.2 million adults may not be vaccinated by end March 2022 nationally. Our results highlight geographic inequalities at sub-national level and are important in targeting and improving vaccination coverage in hard-to-reach populations. Similar mapping efforts could help other countries identify and increase vaccination coverage for such populations.
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Affiliation(s)
- Samuel K Muchiri
- Population Health Unit, Kenya Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya.
| | - Rose Muthee
- Department of Health Informatics, Monitoring and Evaluation, Ministry of Health, Nairobi, Kenya
| | - Hellen Kiarie
- Department of Health Informatics, Monitoring and Evaluation, Ministry of Health, Nairobi, Kenya
| | - Joseph Sitienei
- Department of Health Informatics, Monitoring and Evaluation, Ministry of Health, Nairobi, Kenya
| | - Ambrose Agweyu
- Epidemiology and Demography Department, KEMRI-Wellcome Trust Research Programme Nairobi, Kenya
| | - Peter M Atkinson
- Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, UK; Geography and Environmental Science, University of Southampton, Highfield, Southampton SO17 1BJ, UK; Institute of Geographic Sciences and Natural Resource Research, Chinese Academy of Sciences, Beijing 100101, China
| | - C Edson Utazi
- WorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, UK; Southampton Statistical Sciences Research Institute, University of Southampton, Southampton, UK
| | - Andrew J Tatem
- WorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, UK
| | - Victor A Alegana
- Population Health Unit, Kenya Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya; Geography and Environmental Science, University of Southampton, Highfield, Southampton SO17 1BJ, UK
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24
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Ojal J, Brand SPC, Were V, Okiro EA, Kombe IK, Mburu C, Aziza R, Ogero M, Agweyu A, Warimwe GM, Uyoga S, Adetifa IMO, Scott JAG, Otieno E, Ochola-Oyier LI, Agoti CN, Kasera K, Amoth P, Mwangangi M, Aman R, Ng’ang’a W, Tsofa B, Bejon P, Barasa E, Keeling MJ, Nokes DJ. Revealing the extent of the first wave of the COVID-19 pandemic in Kenya based on serological and PCR-test data. Wellcome Open Res 2022; 6:127. [PMID: 36187498 PMCID: PMC9511207 DOI: 10.12688/wellcomeopenres.16748.2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/14/2022] [Indexed: 02/02/2023] Open
Abstract
Policymakers in Africa need robust estimates of the current and future spread of SARS-CoV-2. We used national surveillance PCR test, serological survey and mobility data to develop and fit a county-specific transmission model for Kenya up to the end of September 2020, which encompasses the first wave of SARS-CoV-2 transmission in the country. We estimate that the first wave of the SARS-CoV-2 pandemic peaked before the end of July 2020 in the major urban counties, with 30-50% of residents infected. Our analysis suggests, first, that the reported low COVID-19 disease burden in Kenya cannot be explained solely by limited spread of the virus, and second, that a 30-50% attack rate was not sufficient to avoid a further wave of transmission.
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Affiliation(s)
- John Ojal
- Kenya Medical Research Institute - Wellcome Trust Research programme, Kilifi, Kenya
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Samuel P. C. Brand
- The Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry, UK
- School of Life Sciences, University of Warwick, Coventry, UK
| | - Vincent Were
- Health Economics Research Unit, Kenya Medical Research Institute - Wellcome Trust Research Programme, Nairobi, Kenya
| | - Emelda A. Okiro
- Population Health Unit, Kenya Medical Research Institute - Wellcome Trust Research programme, Nairobi, Kenya
| | - Ivy K. Kombe
- Kenya Medical Research Institute - Wellcome Trust Research programme, Kilifi, Kenya
| | - Caroline Mburu
- Kenya Medical Research Institute - Wellcome Trust Research programme, Kilifi, Kenya
| | - Rabia Aziza
- The Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry, UK
- School of Life Sciences, University of Warwick, Coventry, UK
| | - Morris Ogero
- Health Economics Research Unit, Kenya Medical Research Institute - Wellcome Trust Research Programme, Nairobi, Kenya
| | - Ambrose Agweyu
- Kenya Medical Research Institute - Wellcome Trust Research programme, Kilifi, Kenya
| | - George M. Warimwe
- Kenya Medical Research Institute - Wellcome Trust Research programme, Kilifi, Kenya
| | - Sophie Uyoga
- Kenya Medical Research Institute - Wellcome Trust Research programme, Kilifi, Kenya
| | - Ifedayo M. O. Adetifa
- Kenya Medical Research Institute - Wellcome Trust Research programme, Kilifi, Kenya
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - J. Anthony G. Scott
- Kenya Medical Research Institute - Wellcome Trust Research programme, Kilifi, Kenya
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Edward Otieno
- Health Economics Research Unit, Kenya Medical Research Institute - Wellcome Trust Research Programme, Nairobi, Kenya
| | | | - Charles N. Agoti
- Kenya Medical Research Institute - Wellcome Trust Research programme, Kilifi, Kenya
- School of Public Health, Pwani University, Kilifi, Kenya
| | | | - Patrick Amoth
- Ministry of Health, Government of Kenya, Nairobi, Kenya
| | | | - Rashid Aman
- Ministry of Health, Government of Kenya, Nairobi, Kenya
| | - Wangari Ng’ang’a
- Presidential Policy & Strategy Unit, The Presidency, Government of Kenya, Nairobi, Kenya
| | - Benjamin Tsofa
- Kenya Medical Research Institute - Wellcome Trust Research programme, Kilifi, Kenya
| | - Philip Bejon
- Kenya Medical Research Institute - Wellcome Trust Research programme, Kilifi, Kenya
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Edwine Barasa
- Health Economics Research Unit, Kenya Medical Research Institute - Wellcome Trust Research Programme, Nairobi, Kenya
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Matt J. Keeling
- The Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry, UK
| | - D. James Nokes
- Kenya Medical Research Institute - Wellcome Trust Research programme, Kilifi, Kenya
- The Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry, UK
- School of Life Sciences, University of Warwick, Coventry, UK
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Etyang AO, Lucinde R, Karanja H, Kalu C, Mugo D, Nyagwange J, Gitonga J, Tuju J, Wanjiku P, Karani A, Mutua S, Maroko H, Nzomo E, Maitha E, Kamuri E, Kaugiria T, Weru J, Ochola LB, Kilimo N, Charo S, Emukule N, Moracha W, Mukabi D, Okuku R, Ogutu M, Angujo B, Otiende M, Bottomley C, Otieno E, Ndwiga L, Nyaguara A, Voller S, Agoti CN, Nokes DJ, Ochola-Oyier LI, Aman R, Amoth P, Mwangangi M, Kasera K, Ng’ang’a W, Adetifa IMO, Wangeci Kagucia E, Gallagher K, Uyoga S, Tsofa B, Barasa E, Bejon P, Scott JAG, Agweyu A, Warimwe GM. Seroprevalence of Antibodies to Severe Acute Respiratory Syndrome Coronavirus 2 Among Healthcare Workers in Kenya. Clin Infect Dis 2022; 74:288-293. [PMID: 33893491 PMCID: PMC8135298 DOI: 10.1093/cid/ciab346] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Few studies have assessed the seroprevalence of antibodies against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) among healthcare workers (HCWs) in Africa. We report findings from a survey among HCWs in 3 counties in Kenya. METHODS We recruited 684 HCWs from Kilifi (rural), Busia (rural), and Nairobi (urban) counties. The serosurvey was conducted between 30 July and 4 December 2020. We tested for immunoglobulin G antibodies to SARS-CoV-2 spike protein, using enzyme-linked immunosorbent assay. Assay sensitivity and specificity were 92.7 (95% CI, 87.9-96.1) and 99.0% (95% CI, 98.1-99.5), respectively. We adjusted prevalence estimates, using bayesian modeling to account for assay performance. RESULTS The crude overall seroprevalence was 19.7% (135 of 684). After adjustment for assay performance, seroprevalence was 20.8% (95% credible interval, 17.5%-24.4%). Seroprevalence varied significantly (P < .001) by site: 43.8% (95% credible interval, 35.8%-52.2%) in Nairobi, 12.6% (8.8%-17.1%) in Busia and 11.5% (7.2%-17.6%) in Kilifi. In a multivariable model controlling for age, sex, and site, professional cadre was not associated with differences in seroprevalence. CONCLUSION These initial data demonstrate a high seroprevalence of antibodies to SARS-CoV-2 among HCWs in Kenya. There was significant variation in seroprevalence by region, but not by cadre.
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Affiliation(s)
| | - Ruth Lucinde
- KEMRI–Wellcome Trust Research Programme, Kilifi, Kenya
| | - Henry Karanja
- KEMRI–Wellcome Trust Research Programme, Kilifi, Kenya
| | | | - Daisy Mugo
- KEMRI–Wellcome Trust Research Programme, Kilifi, Kenya
| | | | - John Gitonga
- KEMRI–Wellcome Trust Research Programme, Kilifi, Kenya
| | - James Tuju
- KEMRI–Wellcome Trust Research Programme, Kilifi, Kenya
| | | | - Angela Karani
- KEMRI–Wellcome Trust Research Programme, Kilifi, Kenya
| | | | - Hosea Maroko
- KEMRI Center for Infectious and Parasitic Diseases Control Research, Alupe, Kenya
| | | | | | | | | | | | | | | | | | | | | | - David Mukabi
- Department of Health, Busia County, Busia, Kenya
| | | | | | | | - Mark Otiende
- KEMRI–Wellcome Trust Research Programme, Kilifi, Kenya
| | - Christian Bottomley
- Department of Infectious Diseases Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Edward Otieno
- KEMRI–Wellcome Trust Research Programme, Kilifi, Kenya
| | | | - Amek Nyaguara
- KEMRI–Wellcome Trust Research Programme, Kilifi, Kenya
| | - Shirine Voller
- KEMRI–Wellcome Trust Research Programme, Kilifi, Kenya
- Department of Infectious Diseases Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | | | | | | | - Rashid Aman
- Ministry of Health, Government of Kenya, Nairobi, Kenya
| | - Patrick Amoth
- Ministry of Health, Government of Kenya, Nairobi, Kenya
| | | | | | - Wangari Ng’ang’a
- Presidential Policy and Strategy Unit, The Presidency, Government of Kenya, Nairobi, Kenya
| | - Ifedayo M O Adetifa
- KEMRI–Wellcome Trust Research Programme, Kilifi, Kenya
- Department of Infectious Diseases Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | | | - Katherine Gallagher
- KEMRI–Wellcome Trust Research Programme, Kilifi, Kenya
- Department of Infectious Diseases Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Sophie Uyoga
- KEMRI–Wellcome Trust Research Programme, Kilifi, Kenya
| | | | - Edwine Barasa
- KEMRI–Wellcome Trust Research Programme, Kilifi, Kenya
| | - Philip Bejon
- KEMRI–Wellcome Trust Research Programme, Kilifi, Kenya
- Nuffield Department of Medicine, Oxford University, Oxford, United Kingdom
| | - J Anthony G Scott
- KEMRI–Wellcome Trust Research Programme, Kilifi, Kenya
- Department of Infectious Diseases Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | | | - George M Warimwe
- KEMRI–Wellcome Trust Research Programme, Kilifi, Kenya
- Nuffield Department of Medicine, Oxford University, Oxford, United Kingdom
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Kamau A, Paton RS, Akech S, Mpimbaza A, Khazenzi C, Ogero M, Mumo E, Alegana VA, Agweyu A, Mturi N, Mohammed S, Bigogo G, Audi A, Kapisi J, Sserwanga A, Namuganga JF, Kariuki S, Otieno NA, Nyawanda BO, Olotu A, Salim N, Athuman T, Abdulla S, Mohamed AF, Mtove G, Reyburn H, Gupta S, Lourenço J, Bejon P, Snow RW. Malaria hospitalisation in East Africa: age, phenotype and transmission intensity. BMC Med 2022; 20:28. [PMID: 35081974 PMCID: PMC8793189 DOI: 10.1186/s12916-021-02224-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 12/21/2021] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Understanding the age patterns of disease is necessary to target interventions to maximise cost-effective impact. New malaria chemoprevention and vaccine initiatives target young children attending routine immunisation services. Here we explore the relationships between age and severity of malaria hospitalisation versus malaria transmission intensity. METHODS Clinical data from 21 surveillance hospitals in East Africa were reviewed. Malaria admissions aged 1 month to 14 years from discrete administrative areas since 2006 were identified. Each site-time period was matched to a model estimated community-based age-corrected parasite prevalence to provide predictions of prevalence in childhood (PfPR2-10). Admission with all-cause malaria, severe malaria anaemia (SMA), respiratory distress (RD) and cerebral malaria (CM) were analysed as means and predicted probabilities from Bayesian generalised mixed models. RESULTS 52,684 malaria admissions aged 1 month to 14 years were described at 21 hospitals from 49 site-time locations where PfPR2-10 varied from < 1 to 48.7%. Twelve site-time periods were described as low transmission (PfPR2-10 < 5%), five low-moderate transmission (PfPR2-10 5-9%), 20 moderate transmission (PfPR2-10 10-29%) and 12 high transmission (PfPR2-10 ≥ 30%). The majority of malaria admissions were below 5 years of age (69-85%) and rare among children aged 10-14 years (0.7-5.4%) across all transmission settings. The mean age of all-cause malaria hospitalisation was 49.5 months (95% CI 45.1, 55.4) under low transmission compared with 34.1 months (95% CI 30.4, 38.3) at high transmission, with similar trends for each severe malaria phenotype. CM presented among older children at a mean of 48.7 months compared with 39.0 months and 33.7 months for SMA and RD, respectively. In moderate and high transmission settings, 34% and 42% of the children were aged between 2 and 23 months and so within the age range targeted by chemoprevention or vaccines. CONCLUSIONS Targeting chemoprevention or vaccination programmes to areas where community-based parasite prevalence is ≥10% is likely to match the age ranges covered by interventions (e.g. intermittent presumptive treatment in infancy to children aged 2-23 months and current vaccine age eligibility and duration of efficacy) and the age ranges of highest disease burden.
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Affiliation(s)
- Alice Kamau
- Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Nairobi, Kenya.
| | | | - Samuel Akech
- Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Nairobi, Kenya
| | - Arthur Mpimbaza
- Child Health and Development Centre, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Cynthia Khazenzi
- Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Nairobi, Kenya
| | - Morris Ogero
- Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Nairobi, Kenya
| | - Eda Mumo
- Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Nairobi, Kenya
| | - Victor A Alegana
- Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Nairobi, Kenya
| | - Ambrose Agweyu
- Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Nairobi, Kenya
| | - Neema Mturi
- Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Kilifi, Kenya
| | - Shebe Mohammed
- Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Kilifi, Kenya
| | - Godfrey Bigogo
- Kenya Medical Research Institute (KEMRI), Centre for Global Health Research, Kisumu, Kenya
| | - Allan Audi
- Kenya Medical Research Institute (KEMRI), Centre for Global Health Research, Kisumu, Kenya
| | - James Kapisi
- Infectious Diseases Research Collaboration, Kampala, Uganda
| | | | | | - Simon Kariuki
- Kenya Medical Research Institute (KEMRI), Centre for Global Health Research, Kisumu, Kenya
| | - Nancy A Otieno
- Kenya Medical Research Institute (KEMRI), Centre for Global Health Research, Kisumu, Kenya
| | - Bryan O Nyawanda
- Kenya Medical Research Institute (KEMRI), Centre for Global Health Research, Kisumu, Kenya
| | - Ally Olotu
- Ifakara Health Institute, Bagamoyo, Tanzania
| | - Nahya Salim
- Ifakara Health Institute, Bagamoyo, Tanzania
| | | | | | - Amina F Mohamed
- Kilimanjaro Christian Medical Centre/Joint Malaria Programme, Moshi, Tanzania
- London School of Hygiene and Tropical Medicine, London, UK
| | - George Mtove
- National Institute for Medical Research, Amani Research Centre, Muheza, Tanzania
| | - Hugh Reyburn
- London School of Hygiene and Tropical Medicine, London, UK
| | - Sunetra Gupta
- Department of Zoology, University of Oxford, Oxford, UK
| | - José Lourenço
- Department of Zoology, University of Oxford, Oxford, UK
| | - Philip Bejon
- Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Kilifi, Kenya
- Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK
| | - Robert W Snow
- Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Nairobi, Kenya
- Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK
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Nyagwange J, Kutima B, Mwai K, Karanja HK, Gitonga JN, Mugo D, Uyoga S, Tuju J, Ochola-Oyier LI, Ndungu F, Bejon P, Agweyu A, Adetifa IMO, Scott JAG, Warimwe GM. Comparative performance of WANTAI ELISA for total immunoglobulin to receptor binding protein and an ELISA for IgG to spike protein in detecting SARS-CoV-2 antibodies in Kenyan populations. J Clin Virol 2022; 146:105061. [PMID: 34973474 PMCID: PMC8711170 DOI: 10.1016/j.jcv.2021.105061] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 12/22/2021] [Indexed: 12/24/2022]
Abstract
Many SARS-CoV-2 antibody detection assays have been developed but their differential performance is not well described. In this study we compared an in-house (KWTRP) ELISA which has been used extensively to estimate seroprevalence in the Kenyan population with WANTAI, an ELISA which has been approved for widespread use by the WHO. Using a wide variety of sample sets including pre-pandemic samples (negative gold standard), SARS-CoV-2 PCR positive samples (positive gold standard) and COVID-19 test samples from different periods (unknowns), we compared performance characteristics of the two assays. The overall concordance between WANTAI and KWTRP was 0.97 (95% CI, 0.95-0.98). For WANTAI and KWTRP, sensitivity was 0.95 (95% CI 0.90-0.98) and 0.93 (95% CI 0.87-0.96), respectively. Specificity for WANTAI was 0.98 (95% CI, 0.96-0.99) and 0.99 (95% CI 0.96-1.00) while KWTRP specificity was 0.99 (95% CI, 0.98-1.00) and 1.00 using pre-pandemic blood donors and pre-pandemic malaria cross-sectional survey samples respectively. Both assays show excellent characteristics to detect SARS-CoV-2 antibodies.
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Affiliation(s)
- James Nyagwange
- KEMRI-Wellcome Trust Research Programme, PO Box 230, Kilifi, Kenya.
| | | | - Kennedy Mwai
- KEMRI-Wellcome Trust Research Programme, PO Box 230, Kilifi, Kenya; School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, 27 St Andrews Road, Parktown 2193, Johannesburg, South Africa
| | - Henry K Karanja
- KEMRI-Wellcome Trust Research Programme, PO Box 230, Kilifi, Kenya
| | - John N Gitonga
- KEMRI-Wellcome Trust Research Programme, PO Box 230, Kilifi, Kenya
| | - Daisy Mugo
- KEMRI-Wellcome Trust Research Programme, PO Box 230, Kilifi, Kenya
| | - Sophie Uyoga
- KEMRI-Wellcome Trust Research Programme, PO Box 230, Kilifi, Kenya
| | - James Tuju
- KEMRI-Wellcome Trust Research Programme, PO Box 230, Kilifi, Kenya
| | | | - Francis Ndungu
- KEMRI-Wellcome Trust Research Programme, PO Box 230, Kilifi, Kenya
| | - Philip Bejon
- KEMRI-Wellcome Trust Research Programme, PO Box 230, Kilifi, Kenya; Nuffield Department of Medicine, Oxford University, OX3 7BN, Oxford, United Kingdom
| | - Ambrose Agweyu
- KEMRI-Wellcome Trust Research Programme, PO Box 230, Kilifi, Kenya
| | - Ifedayo M O Adetifa
- KEMRI-Wellcome Trust Research Programme, PO Box 230, Kilifi, Kenya; Department of Infectious Diseases Epidemiology, London School of Hygiene and Tropical Medicine, WC1E 7HT, Keppel Street, London, United Kingdom
| | - J Anthony G Scott
- KEMRI-Wellcome Trust Research Programme, PO Box 230, Kilifi, Kenya; Department of Infectious Diseases Epidemiology, London School of Hygiene and Tropical Medicine, WC1E 7HT, Keppel Street, London, United Kingdom
| | - George M Warimwe
- KEMRI-Wellcome Trust Research Programme, PO Box 230, Kilifi, Kenya; Nuffield Department of Medicine, Oxford University, OX3 7BN, Oxford, United Kingdom
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28
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Lucinde RK, Mugo D, Bottomley C, Karani A, Gardiner E, Aziza R, Gitonga JN, Karanja H, Nyagwange J, Tuju J, Wanjiku P, Nzomo E, Kamuri E, Thuranira K, Agunda S, Nyutu G, Etyang AO, Adetifa IMO, Kagucia E, Uyoga S, Otiende M, Otieno E, Ndwiga L, Agoti CN, Aman RA, Mwangangi M, Amoth P, Kasera K, Nyaguara A, Ng’ang’a W, Ochola LB, Namdala E, Gaunya O, Okuku R, Barasa E, Bejon P, Tsofa B, Ochola-Oyier LI, Warimwe GM, Agweyu A, Scott JAG, Gallagher KE. Sero-surveillance for IgG to SARS-CoV-2 at antenatal care clinics in three Kenyan referral hospitals: Repeated cross-sectional surveys 2020-21. PLoS One 2022; 17:e0265478. [PMID: 36240176 PMCID: PMC9565697 DOI: 10.1371/journal.pone.0265478] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 09/13/2022] [Indexed: 11/18/2022] Open
Abstract
INTRODUCTION The high proportion of SARS-CoV-2 infections that have remained undetected presents a challenge to tracking the progress of the pandemic and estimating the extent of population immunity. METHODS We used residual blood samples from women attending antenatal care services at three hospitals in Kenya between August 2020 and October 2021and a validated IgG ELISA for SARS-Cov-2 spike protein and adjusted the results for assay sensitivity and specificity. We fitted a two-component mixture model as an alternative to the threshold analysis to estimate of the proportion of individuals with past SARS-CoV-2 infection. RESULTS We estimated seroprevalence in 2,981 women; 706 in Nairobi, 567 in Busia and 1,708 in Kilifi. By October 2021, 13% of participants were vaccinated (at least one dose) in Nairobi, 2% in Busia. Adjusted seroprevalence rose in all sites; from 50% (95%CI 42-58) in August 2020, to 85% (95%CI 78-92) in October 2021 in Nairobi; from 31% (95%CI 25-37) in May 2021 to 71% (95%CI 64-77) in October 2021 in Busia; and from 1% (95% CI 0-3) in September 2020 to 63% (95% CI 56-69) in October 2021 in Kilifi. Mixture modelling, suggests adjusted cross-sectional prevalence estimates are underestimates; seroprevalence in October 2021 could be 74% in Busia and 72% in Kilifi. CONCLUSIONS There has been substantial, unobserved transmission of SARS-CoV-2 in Nairobi, Busia and Kilifi Counties. Due to the length of time since the beginning of the pandemic, repeated cross-sectional surveys are now difficult to interpret without the use of models to account for antibody waning.
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Affiliation(s)
- Ruth K. Lucinde
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- * E-mail:
| | - Daisy Mugo
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Christian Bottomley
- Department of Infectious Diseases Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Angela Karani
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | | | - Rabia Aziza
- School of Life Sciences and the Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry, United Kingdom
| | | | - Henry Karanja
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | | | - James Tuju
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | | | - Edward Nzomo
- Kilifi County Hospital, Ministry of Health, Government of Kenya, Nairobi, Kenya
| | - Evans Kamuri
- Kenyatta National Hospital, Ministry of Health, Government of Kenya, Nairobi, Kenya
| | - Kaugiria Thuranira
- Kenyatta National Hospital, Ministry of Health, Government of Kenya, Nairobi, Kenya
| | - Sarah Agunda
- Kenyatta National Hospital, Ministry of Health, Government of Kenya, Nairobi, Kenya
| | - Gideon Nyutu
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | | | - Ifedayo M. O. Adetifa
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- Department of Infectious Diseases Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | | | - Sophie Uyoga
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Mark Otiende
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Edward Otieno
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | | | | | | | | | - Patrick Amoth
- Ministry of Health, Government of Kenya, Nairobi, Kenya
| | | | - Amek Nyaguara
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Wangari Ng’ang’a
- Presidential Policy and Strategy Unit, The Presidency, Government of Kenya, Nairobi, Kenya
| | | | | | - Oscar Gaunya
- Busia Country Teaching & Referral Hospital, Busia, Kenya
| | - Rosemary Okuku
- Busia Country Teaching & Referral Hospital, Busia, Kenya
| | - Edwine Barasa
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- Nuffield Department of Medicine, Oxford University, Oxford, United Kingdom
| | - Philip Bejon
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- Nuffield Department of Medicine, Oxford University, Oxford, United Kingdom
| | | | | | - George M. Warimwe
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- Nuffield Department of Medicine, Oxford University, Oxford, United Kingdom
| | | | - J. Anthony G. Scott
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- Department of Infectious Diseases Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
- Nuffield Department of Medicine, Oxford University, Oxford, United Kingdom
| | - Katherine E. Gallagher
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- Department of Infectious Diseases Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
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29
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Kairu A, Were V, Isaaka L, Agweyu A, Aketch S, Barasa E. Modelling the cost-effectiveness of essential and advanced critical care for COVID-19 patients in Kenya. BMJ Glob Health 2021; 6:e007168. [PMID: 34876459 PMCID: PMC8655343 DOI: 10.1136/bmjgh-2021-007168] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Accepted: 11/17/2021] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Case management of symptomatic COVID-19 patients is a key health system intervention. The Kenyan government embarked to fill capacity gaps in essential and advanced critical care (ACC) needed for the management of severe and critical COVID-19. However, given scarce resources, gaps in both essential and ACC persist. This study assessed the cost-effectiveness of investments in essential and ACC to inform the prioritisation of investment decisions. METHODS We employed a decision tree model to assess the incremental cost-effectiveness of investment in essential care (EC) and investment in both essential and ACC (EC +ACC) compared with current healthcare provision capacity (status quo) for COVID-19 patients in Kenya. We used a health system perspective, and an inpatient care episode time horizon. Cost data were obtained from primary empirical analysis while outcomes data were obtained from epidemiological model estimates. We used univariate and probabilistic sensitivity analysis to assess the robustness of the results. RESULTS The status quo option is more costly and less effective compared with investment in EC and is thus dominated by the later. The incremental cost-effectiveness ratio of investment in essential and ACC (EC+ACC) was US$1378.21 per disability-adjusted life-year averted and hence not a cost-effective strategy when compared with Kenya's cost-effectiveness threshold (US$908). CONCLUSION When the criterion of cost-effectiveness is considered, and within the context of resource scarcity, Kenya will achieve better value for money if it prioritises investments in EC before investments in ACC. This information on cost-effectiveness will however need to be considered as part of a multicriteria decision-making framework that uses a range of criteria that reflect societal values of the Kenyan society.
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Affiliation(s)
- Angela Kairu
- Health Economics Research Unit (HERU), KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
| | - Vincent Were
- Health Economics Research Unit (HERU), KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
| | - Lynda Isaaka
- Health Services Unit, KEMRI-Wellcome Trust Research Programme Nairobi, Nairobi, Kenya
| | - Ambrose Agweyu
- Epidemiology and Demography, KEMRI-Wellcome Trust Research Programme Nairobi, Nairobi, Kenya
| | - Samuel Aketch
- Health Services Unit, KEMRI-Wellcome Trust Research Programme Nairobi, Nairobi, Kenya
| | - Edwine Barasa
- Health Economics Research Unit (HERU), KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
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30
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Otiende M, Bauni E, Nyaguara A, Amadi D, Nyundo C, Tsory E, Walumbe D, Kinuthia M, Kihuha N, Kahindi M, Nyutu G, Moisi J, Deribew A, Agweyu A, Marsh K, Tsofa B, Bejon P, Bottomley C, Williams TN, Scott JAG. Mortality in rural coastal Kenya measured using the Kilifi Health and Demographic Surveillance System: a 16-year descriptive analysis. Wellcome Open Res 2021. [DOI: 10.12688/wellcomeopenres.17307.1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
Background: The Kilifi Health and Demographic Surveillance System (KHDSS) was established in 2000 to define the incidence and prevalence of local diseases and evaluate the impact of community-based interventions. KHDSS morbidity data have been reported comprehensively but mortality has not been described. This analysis describes mortality in the KHDSS over 16 years. Methods: We calculated mortality rates from 2003–2018 in four intervals of equal duration and assessed differences in mortality across these intervals by age and sex. We calculated the period survival function and median survival using the Kaplan–Meier method and mean life expectancies using abridged life tables. We estimated trend and seasonality by decomposing a time series of monthly mortality rates. We used choropleth maps and random-effects Poisson regression to investigate geographical heterogeneity. Results: Mortality declined by 36% overall between 2003–2018 and by 59% in children aged <5 years. Most of the decline occurred between 2003 and 2006. Among adults, the greatest decline (49%) was observed in those aged 15–54 years. Life expectancy at birth increased by 12 years. Females outlived males by 6 years. Seasonality was only evident in the 1–4 year age group in the first four years. Geographical variation in mortality was ±10% of the median value and did not change over time. Conclusions: Between 2003 and 2018, mortality among children and young adults has improved substantially. The steep decline in 2003–2006 followed by a much slower reduction thereafter suggests improvements in health and wellbeing have plateaued in the last 12 years. However, there is substantial inequality in mortality experience by geographical location.
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Brand SPC, Ojal J, Aziza R, Were V, Okiro EA, Kombe IK, Mburu C, Ogero M, Agweyu A, Warimwe GM, Nyagwange J, Karanja H, Gitonga JN, Mugo D, Uyoga S, Adetifa IMO, Scott JAG, Otieno E, Murunga N, Otiende M, Ochola-Oyier LI, Agoti CN, Githinji G, Kasera K, Amoth P, Mwangangi M, Aman R, Ng’ang’a W, Tsofa B, Bejon P, Keeling MJ, Nokes DJ, Barasa E. COVID-19 transmission dynamics underlying epidemic waves in Kenya. Science 2021; 374:989-994. [PMID: 34618602 PMCID: PMC7612211 DOI: 10.1126/science.abk0414] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 10/04/2021] [Indexed: 01/16/2023]
Abstract
Policy decisions on COVID-19 interventions should be informed by a local, regional and national understanding of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission. Epidemic waves may result when restrictions are lifted or poorly adhered to, variants with new phenotypic properties successfully invade, or infection spreads to susceptible subpopulations. Three COVID-19 epidemic waves have been observed in Kenya. Using a mechanistic mathematical model, we explain the first two distinct waves by differences in contact rates in high and low social-economic groups, and the third wave by the introduction of higher-transmissibility variants. Reopening schools led to a minor increase in transmission between the second and third waves. Socioeconomic and urban–rural population structure are critical determinants of viral transmission in Kenya.
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Affiliation(s)
- Samuel P. C. Brand
- Kenya Medical Research Institute (KEMRI)–Wellcome Trust Research Programme (KWTRP), Kilifi, Kenya
- The Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Warwick, UK
- School of Life Sciences, University of Warwick, Warwick, UK
| | - John Ojal
- Kenya Medical Research Institute (KEMRI)–Wellcome Trust Research Programme (KWTRP), Kilifi, Kenya
- London School of Hygiene and Tropical Medicine (LSHTM), London, UK
| | - Rabia Aziza
- The Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Warwick, UK
- School of Life Sciences, University of Warwick, Warwick, UK
| | - Vincent Were
- Health Economics Research Unit, KEMRI–Wellcome Trust Research Programme, Nairobi, Kenya
| | - Emelda A. Okiro
- Population Health Unit, Kenya Medical Research Institute–Wellcome Trust Research Programme, Nairobi, Kenya
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Ivy K Kombe
- Kenya Medical Research Institute (KEMRI)–Wellcome Trust Research Programme (KWTRP), Kilifi, Kenya
| | - Caroline Mburu
- Kenya Medical Research Institute (KEMRI)–Wellcome Trust Research Programme (KWTRP), Kilifi, Kenya
| | - Morris Ogero
- Kenya Medical Research Institute (KEMRI)–Wellcome Trust Research Programme (KWTRP), Kilifi, Kenya
| | - Ambrose Agweyu
- Kenya Medical Research Institute (KEMRI)–Wellcome Trust Research Programme (KWTRP), Kilifi, Kenya
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - George M. Warimwe
- Kenya Medical Research Institute (KEMRI)–Wellcome Trust Research Programme (KWTRP), Kilifi, Kenya
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - James Nyagwange
- Kenya Medical Research Institute (KEMRI)–Wellcome Trust Research Programme (KWTRP), Kilifi, Kenya
| | - Henry Karanja
- Kenya Medical Research Institute (KEMRI)–Wellcome Trust Research Programme (KWTRP), Kilifi, Kenya
| | - John N. Gitonga
- Kenya Medical Research Institute (KEMRI)–Wellcome Trust Research Programme (KWTRP), Kilifi, Kenya
| | - Daisy Mugo
- Kenya Medical Research Institute (KEMRI)–Wellcome Trust Research Programme (KWTRP), Kilifi, Kenya
| | - Sophie Uyoga
- Kenya Medical Research Institute (KEMRI)–Wellcome Trust Research Programme (KWTRP), Kilifi, Kenya
| | - Ifedayo M. O. Adetifa
- Kenya Medical Research Institute (KEMRI)–Wellcome Trust Research Programme (KWTRP), Kilifi, Kenya
- Department of Infectious Diseases Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - J. Anthony G. Scott
- Kenya Medical Research Institute (KEMRI)–Wellcome Trust Research Programme (KWTRP), Kilifi, Kenya
- Department of Infectious Diseases Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - Edward Otieno
- Kenya Medical Research Institute (KEMRI)–Wellcome Trust Research Programme (KWTRP), Kilifi, Kenya
| | - Nickson Murunga
- Kenya Medical Research Institute (KEMRI)–Wellcome Trust Research Programme (KWTRP), Kilifi, Kenya
| | - Mark Otiende
- Kenya Medical Research Institute (KEMRI)–Wellcome Trust Research Programme (KWTRP), Kilifi, Kenya
| | - Lynette I. Ochola-Oyier
- Kenya Medical Research Institute (KEMRI)–Wellcome Trust Research Programme (KWTRP), Kilifi, Kenya
| | - Charles N. Agoti
- Kenya Medical Research Institute (KEMRI)–Wellcome Trust Research Programme (KWTRP), Kilifi, Kenya
| | - George Githinji
- Kenya Medical Research Institute (KEMRI)–Wellcome Trust Research Programme (KWTRP), Kilifi, Kenya
| | | | - Patrick Amoth
- Ministry of Health, Government of Kenya, Nairobi, Kenya
| | | | - Rashid Aman
- Ministry of Health, Government of Kenya, Nairobi, Kenya
| | - Wangari Ng’ang’a
- Presidential Policy and Strategy Unit, The Presidency, Government of Kenya
| | - Benjamin Tsofa
- Kenya Medical Research Institute (KEMRI)–Wellcome Trust Research Programme (KWTRP), Kilifi, Kenya
| | - Philip Bejon
- Kenya Medical Research Institute (KEMRI)–Wellcome Trust Research Programme (KWTRP), Kilifi, Kenya
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Matt. J. Keeling
- The Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Warwick, UK
- School of Life Sciences, University of Warwick, Warwick, UK
- Mathematics Institute, University of Warwick, Warwick, UK
| | - D. James Nokes
- Kenya Medical Research Institute (KEMRI)–Wellcome Trust Research Programme (KWTRP), Kilifi, Kenya
- The Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Warwick, UK
- School of Life Sciences, University of Warwick, Warwick, UK
| | - Edwine Barasa
- Health Economics Research Unit, KEMRI–Wellcome Trust Research Programme, Nairobi, Kenya
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
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32
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Bottomley C, Otiende M, Uyoga S, Gallagher K, Kagucia EW, Etyang AO, Mugo D, Gitonga J, Karanja H, Nyagwange J, Adetifa IMO, Agweyu A, Nokes DJ, Warimwe GM, Scott JAG. Quantifying previous SARS-CoV-2 infection through mixture modelling of antibody levels. Nat Commun 2021; 12:6196. [PMID: 34702829 PMCID: PMC8548402 DOI: 10.1038/s41467-021-26452-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Accepted: 09/17/2021] [Indexed: 11/09/2022] Open
Abstract
As countries decide on vaccination strategies and how to ease movement restrictions, estimating the proportion of the population previously infected with SARS-CoV-2 is important for predicting the future burden of COVID-19. This proportion is usually estimated from serosurvey data in two steps: first the proportion above a threshold antibody level is calculated, then the crude estimate is adjusted using external estimates of sensitivity and specificity. A drawback of this approach is that the PCR-confirmed cases used to estimate the sensitivity of the threshold may not be representative of cases in the wider population-e.g., they may be more recently infected and more severely symptomatic. Mixture modelling offers an alternative approach that does not require external data from PCR-confirmed cases. Here we illustrate the bias in the standard threshold-based approach by comparing both approaches using data from several Kenyan serosurveys. We show that the mixture model analysis produces estimates of previous infection that are often substantially higher than the standard threshold analysis.
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Affiliation(s)
- C Bottomley
- International Statistics and Epidemiology Group, London School of Hygiene & Tropical Medicine, London, UK.
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
| | - M Otiende
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - S Uyoga
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - K Gallagher
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - E W Kagucia
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - A O Etyang
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - D Mugo
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - J Gitonga
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - H Karanja
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - J Nyagwange
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - I M O Adetifa
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - A Agweyu
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- Nuffield Department of Medicine, Oxford University, Oxford, UK
| | - D J Nokes
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- School of Life Sciences, University of Warwick, Coventry, UK
| | - G M Warimwe
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- Nuffield Department of Medicine, Oxford University, Oxford, UK
| | - J A G Scott
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- Nuffield Department of Medicine, Oxford University, Oxford, UK
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33
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Kagucia EW, Gitonga JN, Kalu C, Ochomo E, Ochieng B, Kuya N, Karani A, Nyagwange J, Karia B, Mugo D, Karanja HK, Tuju J, Mutiso A, Maroko H, Okubi L, Maitha E, Ajuck H, Mukabi D, Moracha W, Bulimu D, Andanje N, Aman R, Mwangangi M, Amoth P, Kasera K, Ng'ang'a W, Nyaguara A, Voller S, Otiende M, Bottomley C, Agoti CN, Ochola-Oyier LI, Adetifa IMO, Etyang AO, Gallagher KE, Uyoga S, Barasa E, Bejon P, Tsofa B, Agweyu A, Warimwe GM, Scott JAG. Anti-Severe Acute Respiratory Syndrome Coronavirus 2 Immunoglobulin G Antibody Seroprevalence Among Truck Drivers and Assistants in Kenya. Open Forum Infect Dis 2021; 8:ofab314. [PMID: 34660838 PMCID: PMC8519263 DOI: 10.1093/ofid/ofab314] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 06/09/2021] [Indexed: 11/14/2022] Open
Abstract
In October 2020, anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) immunoglobulin G seroprevalence among truck drivers and their assistants (TDA) in Kenya was 42.3%, higher than among healthcare workers and blood donors. Truck drivers and their assistants transport essential supplies during the coronavirus disease 2019 pandemic, placing them at increased risk of being infected and of transmitting SARS-CoV-2 over a wide geographical area.
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Affiliation(s)
| | | | | | - Eric Ochomo
- KEMRI Centre for Global Health Research (CGHR), Kisumu, Kenya
| | - Benard Ochieng
- KEMRI Centre for Global Health Research (CGHR), Kisumu, Kenya
| | - Nickline Kuya
- KEMRI Centre for Global Health Research (CGHR), Kisumu, Kenya
| | - Angela Karani
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | | | | | - Daisy Mugo
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | | | - James Tuju
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Agnes Mutiso
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Hosea Maroko
- KEMRI Centre for Infectious and Parasitic Diseases Control Research, Busia, Kenya
| | - Lucy Okubi
- KEMRI Centre for Infectious and Parasitic Diseases Control Research, Busia, Kenya
| | | | | | | | | | | | | | - Rashid Aman
- Ministry of Health, Government of Kenya, Nairobi, Kenya
| | | | - Patrick Amoth
- Ministry of Health, Government of Kenya, Nairobi, Kenya
| | | | - Wangari Ng'ang'a
- Presidential Policy and Strategy Unit, The Presidency, Government of Kenya, Nairobi, Kenya
| | - Amek Nyaguara
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Shirine Voller
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.,Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Mark Otiende
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Christian Bottomley
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | | | | | - Ifedayo M O Adetifa
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.,Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | | | - Katherine E Gallagher
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.,Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Sophie Uyoga
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Edwine Barasa
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Philip Bejon
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.,Nuffield Department of Medicine, Oxford University, Oxford, United Kingdom
| | | | | | - George M Warimwe
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.,Nuffield Department of Medicine, Oxford University, Oxford, United Kingdom
| | - J Anthony G Scott
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.,Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.,Nuffield Department of Medicine, Oxford University, Oxford, United Kingdom
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Uyoga S, Adetifa IMO, Otiende M, Yegon C, Agweyu A, Warimwe GM, Scott JAG. Prevalence of SARS-CoV-2 Antibodies From a National Serosurveillance of Kenyan Blood Donors, January-March 2021. JAMA 2021; 326:1436-1438. [PMID: 34473191 PMCID: PMC8414357 DOI: 10.1001/jama.2021.15265] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
This study examines the prevalence of SARS-CoV-2 antibodies among blood donors aged 16 to 64 years in Kenya from January to March 2021.
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Affiliation(s)
- Sophie Uyoga
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | | | - Mark Otiende
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Christine Yegon
- Kenya National Blood Transfusion Services, Ministry of Health, Nairobi, Kenya
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Tuti T, Aluvaala J, Akech S, Agweyu A, Irimu G, English M. Pulse oximetry adoption and oxygen orders at paediatric admission over 7 years in Kenya: a multihospital retrospective cohort study. BMJ Open 2021; 11:e050995. [PMID: 34493522 PMCID: PMC8424839 DOI: 10.1136/bmjopen-2021-050995] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 08/13/2021] [Indexed: 01/27/2023] Open
Abstract
OBJECTIVES To characterise adoption and explore specific clinical and patient factors that might influence pulse oximetry and oxygen use in low-income and middle-income countries (LMICs) over time; to highlight useful considerations for entities working on programmes to improve access to pulse oximetry and oxygen. DESIGN A multihospital retrospective cohort study. SETTINGS All admissions (n=132 737) to paediatric wards of 18 purposely selected public hospitals in Kenya that joined a Clinical Information Network (CIN) between March 2014 and December 2020. OUTCOMES Pulse oximetry use and oxygen prescription on admission; we performed growth-curve modelling to investigate the association of patient factors with study outcomes over time while adjusting for hospital factors. RESULTS Overall, pulse oximetry was used in 48.8% (64 722/132 737) of all admission cases. Use rose on average with each month of participation in the CIN (OR: 1.11, 95% CI 1.05 to 1.18) but patterns of adoption were highly variable across hospitals suggesting important factors at hospital level influence use of pulse oximetry. Of those with pulse oximetry measurement, 7% (4510/64 722) had hypoxaemia (SpO2 <90%). Across the same period, 8.6% (11 428/132 737) had oxygen prescribed but in 87%, pulse oximetry was either not done or the hypoxaemia threshold (SpO2 <90%) was not met. Lower chest-wall indrawing and other respiratory symptoms were associated with pulse oximetry use at admission and were also associated with oxygen prescription in the absence of pulse oximetry or hypoxaemia. CONCLUSION The adoption of pulse oximetry recommended in international guidelines for assessing children with severe illness has been slow and erratic, reflecting system and organisational weaknesses. Most oxygen orders at admission seem driven by clinical and situational factors other than the presence of hypoxaemia. Programmes aiming to implement pulse oximetry and oxygen systems will likely need a long-term vision to promote adoption, guideline development and adherence and continuously examine impact.
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Affiliation(s)
- Timothy Tuti
- Health Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
| | - Jalemba Aluvaala
- Health Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
- Department of Paediatrics and Child Health, University of Nairobi, Nairobi, Kenya
| | - Samuel Akech
- Health Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
| | - Ambrose Agweyu
- Health Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
| | - Grace Irimu
- Health Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
- Department of Paediatrics and Child Health, University of Nairobi, Nairobi, Kenya
| | - Mike English
- Health Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
- Nuffield Department of Medicine and Department of Paediatrics, University of Oxford, Oxford, UK
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Paton RS, Kamau A, Akech S, Agweyu A, Ogero M, Mwandawiro C, Mturi N, Mohammed S, Mpimbaza A, Kariuki S, Otieno NA, Nyawanda BO, Mohamed AF, Mtove G, Reyburn H, Gupta S, Bejon P, Lourenço J, Snow RW. Malaria infection and severe disease risks in Africa. Science 2021; 373:926-931. [PMID: 34413238 PMCID: PMC7611598 DOI: 10.1126/science.abj0089] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Accepted: 06/29/2021] [Indexed: 12/18/2022]
Abstract
The relationship between community prevalence of Plasmodium falciparum and the burden of severe, life-threatening disease remains poorly defined. To examine the three most common severe malaria phenotypes from catchment populations across East Africa, we assembled a dataset of 6506 hospital admissions for malaria in children aged 3 months to 9 years from 2006 to 2020. Admissions were paired with data from community parasite infection surveys. A Bayesian procedure was used to calibrate uncertainties in exposure (parasite prevalence) and outcomes (severe malaria phenotypes). Each 25% increase in prevalence conferred a doubling of severe malaria admission rates. Severe malaria remains a burden predominantly among young children (3 to 59 months) across a wide range of community prevalence typical of East Africa. This study offers a quantitative framework for linking malaria parasite prevalence and severe disease outcomes in children.
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Affiliation(s)
- Robert S Paton
- Department of Zoology, University of Oxford, Oxford, UK.
| | - Alice Kamau
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Nairobi, Kenya.
- Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK
| | - Samuel Akech
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Nairobi, Kenya
| | - Ambrose Agweyu
- Kilimanjaro Christian Medical Centre/Joint Malaria Programme, Moshi, Tanzania
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Nairobi, Kenya
| | - Morris Ogero
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Nairobi, Kenya
| | - Charles Mwandawiro
- Eastern and Southern Africa Centre of International Parasite Control, Kenya Medical Research Institute (KEMRI), Nairobi, Kenya
| | - Neema Mturi
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Shebe Mohammed
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Arthur Mpimbaza
- Child Health and Development Centre, Makerere University, College of Health Sciences, Kampala, Uganda
| | - Simon Kariuki
- Kenya Medical Research Institute (KEMRI)-Centre for Global Health Research, Kisumu, Kenya
| | - Nancy A Otieno
- Kenya Medical Research Institute (KEMRI)-Centre for Global Health Research, Kisumu, Kenya
| | - Bryan O Nyawanda
- Kenya Medical Research Institute (KEMRI)-Centre for Global Health Research, Kisumu, Kenya
| | - Amina F Mohamed
- Kilimanjaro Christian Medical Centre/Joint Malaria Programme, Moshi, Tanzania
- London School of Hygiene and Tropical Medicine, London, UK
| | - George Mtove
- National Institute for Medical Research, Amani Research Centre, Muheza, Tanzania
| | - Hugh Reyburn
- London School of Hygiene and Tropical Medicine, London, UK
| | - Sunetra Gupta
- Department of Zoology, University of Oxford, Oxford, UK
| | - Philip Bejon
- Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya
| | - José Lourenço
- Department of Zoology, University of Oxford, Oxford, UK
| | - Robert W Snow
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Nairobi, Kenya
- Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK
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37
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Githinji G, de Laurent ZR, Mohammed KS, Omuoyo DO, Macharia PM, Morobe JM, Otieno E, Kinyanjui SM, Agweyu A, Maitha E, Kitole B, Suleiman T, Mwakinangu M, Nyambu J, Otieno J, Salim B, Kasera K, Kiiru J, Aman R, Barasa E, Warimwe G, Bejon P, Tsofa B, Ochola-Oyier LI, Nokes DJ, Agoti CN. Tracking the introduction and spread of SARS-CoV-2 in coastal Kenya. Nat Commun 2021; 12:4809. [PMID: 34376689 PMCID: PMC8355311 DOI: 10.1038/s41467-021-25137-x] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Accepted: 07/27/2021] [Indexed: 01/13/2023] Open
Abstract
Genomic surveillance of SARS-CoV-2 is important for understanding both the evolution and the patterns of local and global transmission. Here, we generated 311 SARS-CoV-2 genomes from samples collected in coastal Kenya between 17th March and 31st July 2020. We estimated multiple independent SARS-CoV-2 introductions into the region were primarily of European origin, although introductions could have come through neighbouring countries. Lineage B.1 accounted for 74% of sequenced cases. Lineages A, B and B.4 were detected in screened individuals at the Kenya-Tanzania border or returning travellers. Though multiple lineages were introduced into coastal Kenya following the initial confirmed case, none showed extensive local expansion other than lineage B.1. International points of entry were important conduits of SARS-CoV-2 importations into coastal Kenya and early public health responses prevented established transmission of some lineages. Undetected introductions through points of entry including imports from elsewhere in the country gave rise to the local epidemic at the Kenyan coast.
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Affiliation(s)
- George Githinji
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
- Department of Biochemistry and Biotechnology, Pwani University, Kilifi, Kenya.
| | | | | | | | - Peter M Macharia
- Population Health Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
| | - John M Morobe
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Edward Otieno
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Samson M Kinyanjui
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | | | | | | | | | | | | | | | | | | | - John Kiiru
- Ministry of Health, Government of Kenya, Nairobi, Kenya
| | - Rashid Aman
- Ministry of Health, Government of Kenya, Nairobi, Kenya
| | - Edwine Barasa
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Health Economics Research Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
| | - George Warimwe
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Philip Bejon
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | | | | | - D James Nokes
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- School of Life Sciences and Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry, UK
| | - Charles N Agoti
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- School of Public Health, Pwani University, Kilifi, Kenya
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Strong KL, Requejo J, Agweyu A, Billah SM, Boschi-Pinto C, Horiuchi S, Jamaluddine Z, Lazzerini M, Maiga A, McKerrow N, Munos M, Schellenberg J, Weigel R. Revitalizing child health: lessons from the past. Glob Health Action 2021; 14:1947565. [PMID: 34320911 PMCID: PMC8330761 DOI: 10.1080/16549716.2021.1947565] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Essential health, education and other service disruptions arising from the COVID-19 pandemic risk reversing some of the hard-won gains in improving child survival over the past 40 years. Although children have milder symptoms of COVID-19 disease than adults, pandemic control measures in many countries have disrupted health, education and other services for children, often leaving them without access to birth and postnatal care, vaccinations and early childhood preventive and treatment services. These disruptions mean that the SARS-CoV-2 virus, along with climate change and shifting epidemiological and demographic patterns, are challenging the survival gains that we have seen over the past 40 years. We revisit the initiatives and actions of the past that catalyzed survival improvements in an effort to learn how to maintain these gains even in the face of today's global challenges.
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Affiliation(s)
- Kathleen L Strong
- Maternal, Newborn, Child and Adolescent Health and Aging Department, World Health Organization, Geneva, Switzerland
| | - Jennifer Requejo
- Division of Data, Analytics, Planning and Monitoring, UNICEF, New York, NY, USA
| | - Ambrose Agweyu
- Department of Epidemiology and Demography, KEMRI-Wellcome Trust Research Programme, Kenya
| | - Sk Masum Billah
- Maternal and Child Health Division, Icddr, b, Dhaka, Bangladesh
| | - Cynthia Boschi-Pinto
- Department of Epidemiology and Biostatistics, University Federal Fluminense Rio De Janeiro, Brazil
| | - Sayaka Horiuchi
- Center for Birth Cohort Studies, University of Yamanashi, Yamanashi, Japan
| | | | - Marzia Lazzerini
- Center for Maternal and Child Health, Institute for Maternal and Child Health IRCCS Burlo Garofolo, Trieste, Italy
| | - Abdoulaye Maiga
- Global Disease epidemiology and control, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Neil McKerrow
- Department of Paediatrics and Child Health, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa.,Department of Paediatrics and Child Health, University of Cape Town, Rondebosch, South Africa.,Global Child Health, Witten/Herdecke University, Witten-Herdecke, Germany
| | - Melinda Munos
- Global Disease epidemiology and control, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | - Ralf Weigel
- Global Child Health, Witten/Herdecke University, Witten-Herdecke, Germany
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Adetifa IMO, Uyoga S, Gitonga JN, Mugo D, Otiende M, Nyagwange J, Karanja HK, Tuju J, Wanjiku P, Aman R, Mwangangi M, Amoth P, Kasera K, Ng'ang'a W, Rombo C, Yegon C, Kithi K, Odhiambo E, Rotich T, Orgut I, Kihara S, Bottomley C, Kagucia EW, Gallagher KE, Etyang A, Voller S, Lambe T, Wright D, Barasa E, Tsofa B, Bejon P, Ochola-Oyier LI, Agweyu A, Scott JAG, Warimwe GM. Temporal trends of SARS-CoV-2 seroprevalence during the first wave of the COVID-19 epidemic in Kenya. Nat Commun 2021; 12:3966. [PMID: 34172732 PMCID: PMC8233334 DOI: 10.1038/s41467-021-24062-3] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Accepted: 05/25/2021] [Indexed: 12/17/2022] Open
Abstract
Observed SARS-CoV-2 infections and deaths are low in tropical Africa raising questions about the extent of transmission. We measured SARS-CoV-2 IgG by ELISA in 9,922 blood donors across Kenya and adjusted for sampling bias and test performance. By 1st September 2020, 577 COVID-19 deaths were observed nationwide and seroprevalence was 9.1% (95%CI 7.6-10.8%). Seroprevalence in Nairobi was 22.7% (18.0-27.7%). Although most people remained susceptible, SARS-CoV-2 had spread widely in Kenya with apparently low associated mortality.
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Affiliation(s)
- Ifedayo M O Adetifa
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
- Department of Infectious Diseases Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, United Kingdom.
| | - Sophie Uyoga
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
| | | | - Daisy Mugo
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Mark Otiende
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | | | | | - James Tuju
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | | | - Rashid Aman
- Ministry of Health, Government of Kenya, Nairobi, Kenya
| | | | - Patrick Amoth
- Ministry of Health, Government of Kenya, Nairobi, Kenya
| | | | - Wangari Ng'ang'a
- Presidential Policy & Strategy Unit, The Presidency, Government of Kenya, Nairobi, Kenya
| | - Charles Rombo
- Kenya National Blood Transfusion Services, Ministry of Health, Nairobi, Kenya
| | - Christine Yegon
- Kenya National Blood Transfusion Services, Ministry of Health, Nairobi, Kenya
| | - Khamisi Kithi
- Kenya National Blood Transfusion Services, Ministry of Health, Nairobi, Kenya
| | - Elizabeth Odhiambo
- Kenya National Blood Transfusion Services, Ministry of Health, Nairobi, Kenya
| | - Thomas Rotich
- Kenya National Blood Transfusion Services, Ministry of Health, Nairobi, Kenya
| | - Irene Orgut
- Kenya National Blood Transfusion Services, Ministry of Health, Nairobi, Kenya
| | - Sammy Kihara
- Kenya National Blood Transfusion Services, Ministry of Health, Nairobi, Kenya
| | - Christian Bottomley
- Department of Infectious Diseases Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, United Kingdom
| | | | - Katherine E Gallagher
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- Department of Infectious Diseases Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, United Kingdom
| | | | - Shirine Voller
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- Department of Infectious Diseases Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, United Kingdom
| | - Teresa Lambe
- Nuffield Department of Medicine, Oxford University, Oxford, United Kingdom
| | - Daniel Wright
- Nuffield Department of Medicine, Oxford University, Oxford, United Kingdom
| | - Edwine Barasa
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | | | - Philip Bejon
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- Nuffield Department of Medicine, Oxford University, Oxford, United Kingdom
| | | | | | - J Anthony G Scott
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- Department of Infectious Diseases Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, United Kingdom
- Nuffield Department of Medicine, Oxford University, Oxford, United Kingdom
| | - George M Warimwe
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- Nuffield Department of Medicine, Oxford University, Oxford, United Kingdom
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Omoke S, English M, Aluvaala J, Gathara D, Agweyu A, Akech S. Prevalence and fluid management of dehydration in children without diarrhoea admitted to Kenyan hospitals: a multisite observational study. BMJ Open 2021; 11:e042079. [PMID: 34145005 PMCID: PMC8215254 DOI: 10.1136/bmjopen-2020-042079] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVES To examine the prevalence of dehydration without diarrhoea among admitted children aged 1-59 months and to describe fluid management practices in such cases. DESIGN A multisite observational study that used routine in-patient data collected prospectively between October 2013 and December 2018. SETTINGS Study conducted in 13 county referral hospitals in Kenya. PARTICIPANTS Children aged 1-59 months with admission or discharge diagnosis of dehydration but had no diarrhoea as a symptom or diagnosis. Children aged <28 days and those with severe acute malnutrition were excluded. RESULTS The prevalence of dehydration in children without diarrhoea was 3.0% (2019/68 204) and comprised 15.9% (2019/12 702) of all dehydration cases. Only 55.8% (1127/2019) of affected children received either oral or intravenous fluid therapy. Where fluid treatment was given, the volumes, type of fluid, duration of fluid therapy and route of administration were similar to those used in the treatment of dehydration secondary to diarrhoea. Pneumonia (1021/2019, 50.6%) and malaria (715/2019, 35.4%) were the two most common comorbid diagnoses. Overall case fatality in the study population was 12.9% (260/2019). CONCLUSION Sixteen per cent of children hospitalised with dehydration do not have diarrhoea but other common illnesses. Two-fifths do not receive fluid therapy; a regimen similar to that used in diarrhoeal cases is used in cases where fluid is administered. Efforts to promote compliance with guidance in routine clinical settings should recognise special circumstances where guidelines do not apply, and further studies on appropriate management for dehydration in the absence of diarrhoea are required.
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Affiliation(s)
- Sylvia Omoke
- Health Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
| | - Mike English
- Health Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
- Department of Clinical Medicine, Nuffield, Oxford, UK
| | - Jalemba Aluvaala
- Health Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
- Department of Paediatrics and Child Health, University of Nairobi, Nairobi, Kenya
| | - David Gathara
- Health Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
| | - Ambrose Agweyu
- Health Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
| | - Samuel Akech
- Health Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
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Ojal J, Brand SPC, Were V, Okiro EA, Kombe IK, Mburu C, Aziza R, Ogero M, Agweyu A, Warimwe GM, Uyoga S, Adetifa IMO, Scott JAG, Otieno E, Ochola-Oyier LI, Agoti CN, Kasera K, Amoth P, Mwangangi M, Aman R, Ng’ang’a W, Tsofa B, Bejon P, Barasa E, Keeling MJ, Nokes DJ. Revealing the extent of the first wave of the COVID-19 pandemic in Kenya based on serological and PCR-test data. Wellcome Open Res 2021; 6:127. [PMID: 36187498 PMCID: PMC9511207 DOI: 10.12688/wellcomeopenres.16748.1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/13/2021] [Indexed: 02/02/2023] Open
Abstract
Policymakers in Africa need robust estimates of the current and future spread of SARS-CoV-2. We used national surveillance PCR test, serological survey and mobility data to develop and fit a county-specific transmission model for Kenya up to the end of September 2020, which encompasses the first wave of SARS-CoV-2 transmission in the country. We estimate that the first wave of the SARS-CoV-2 pandemic peaked before the end of July 2020 in the major urban counties, with 30-50% of residents infected. Our analysis suggests, first, that the reported low COVID-19 disease burden in Kenya cannot be explained solely by limited spread of the virus, and second, that a 30-50% attack rate was not sufficient to avoid a further wave of transmission.
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Affiliation(s)
- John Ojal
- Kenya Medical Research Institute - Wellcome Trust Research programme, Kilifi, Kenya
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Samuel P. C. Brand
- The Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry, UK
- School of Life Sciences, University of Warwick, Coventry, UK
| | - Vincent Were
- Health Economics Research Unit, Kenya Medical Research Institute - Wellcome Trust Research Programme, Nairobi, Kenya
| | - Emelda A. Okiro
- Population Health Unit, Kenya Medical Research Institute - Wellcome Trust Research programme, Nairobi, Kenya
| | - Ivy K. Kombe
- Kenya Medical Research Institute - Wellcome Trust Research programme, Kilifi, Kenya
| | - Caroline Mburu
- Kenya Medical Research Institute - Wellcome Trust Research programme, Kilifi, Kenya
| | - Rabia Aziza
- The Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry, UK
- School of Life Sciences, University of Warwick, Coventry, UK
| | - Morris Ogero
- Health Economics Research Unit, Kenya Medical Research Institute - Wellcome Trust Research Programme, Nairobi, Kenya
| | - Ambrose Agweyu
- Kenya Medical Research Institute - Wellcome Trust Research programme, Kilifi, Kenya
| | - George M. Warimwe
- Kenya Medical Research Institute - Wellcome Trust Research programme, Kilifi, Kenya
| | - Sophie Uyoga
- Kenya Medical Research Institute - Wellcome Trust Research programme, Kilifi, Kenya
| | - Ifedayo M. O. Adetifa
- Kenya Medical Research Institute - Wellcome Trust Research programme, Kilifi, Kenya
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - J. Anthony G. Scott
- Kenya Medical Research Institute - Wellcome Trust Research programme, Kilifi, Kenya
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Edward Otieno
- Health Economics Research Unit, Kenya Medical Research Institute - Wellcome Trust Research Programme, Nairobi, Kenya
| | | | - Charles N. Agoti
- Kenya Medical Research Institute - Wellcome Trust Research programme, Kilifi, Kenya
- School of Public Health, Pwani University, Kilifi, Kenya
| | | | - Patrick Amoth
- Ministry of Health, Government of Kenya, Nairobi, Kenya
| | | | - Rashid Aman
- Ministry of Health, Government of Kenya, Nairobi, Kenya
| | - Wangari Ng’ang’a
- Presidential Policy & Strategy Unit, The Presidency, Government of Kenya, Nairobi, Kenya
| | - Benjamin Tsofa
- Kenya Medical Research Institute - Wellcome Trust Research programme, Kilifi, Kenya
| | - Philip Bejon
- Kenya Medical Research Institute - Wellcome Trust Research programme, Kilifi, Kenya
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Edwine Barasa
- Health Economics Research Unit, Kenya Medical Research Institute - Wellcome Trust Research Programme, Nairobi, Kenya
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Matt J. Keeling
- The Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry, UK
| | - D. James Nokes
- Kenya Medical Research Institute - Wellcome Trust Research programme, Kilifi, Kenya
- The Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry, UK
- School of Life Sciences, University of Warwick, Coventry, UK
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42
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Irimu G, Aluvaala J, Malla L, Omoke S, Ogero M, Mbevi G, Waiyego M, Mwangi C, Were F, Gathara D, Agweyu A, Akech S, English M. Neonatal mortality in Kenyan hospitals: a multisite, retrospective, cohort study. BMJ Glob Health 2021; 6:e004475. [PMID: 34059493 PMCID: PMC8169483 DOI: 10.1136/bmjgh-2020-004475] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 03/31/2021] [Accepted: 04/01/2021] [Indexed: 11/08/2022] Open
Abstract
BACKGROUND Most of the deaths among neonates in low-income and middle-income countries (LMICs) can be prevented through universal access to basic high-quality health services including essential facility-based inpatient care. However, poor routine data undermines data-informed efforts to monitor and promote improvements in the quality of newborn care across hospitals. METHODS Continuously collected routine patients' data from structured paper record forms for all admissions to newborn units (NBUs) from 16 purposively selected Kenyan public hospitals that are part of a clinical information network were analysed together with data from all paediatric admissions ages 0-13 years from 14 of these hospitals. Data are used to show the proportion of all admissions and deaths in the neonatal age group and examine morbidity and mortality patterns, stratified by birth weight, and their variation across hospitals. FINDINGS During the 354 hospital months study period, 90 222 patients were admitted to the 14 hospitals contributing NBU and general paediatric ward data. 46% of all the admissions were neonates (aged 0-28 days), but they accounted for 66% of the deaths in the age group 0-13 years. 41 657 inborn neonates were admitted in the NBUs across the 16 hospitals during the study period. 4266/41 657 died giving a crude mortality rate of 10.2% (95% CI 9.97% to 10.55%), with 60% of these deaths occurring on the first-day of admission. Intrapartum-related complications was the single most common diagnosis among the neonates with birth weight of 2000 g or more who died. A threefold variation in mortality across hospitals was observed for birth weight categories 1000-1499 g and 1500-1999 g. INTERPRETATION The high proportion of neonatal deaths in hospitals may reflect changing patterns of childhood mortality. Majority of newborns died of preventable causes (>95%). Despite availability of high-impact low-cost interventions, hospitals have high and very variable mortality proportions after stratification by birth weight.
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Affiliation(s)
- Grace Irimu
- Department of Paediatrics and Child Health, University of Nairobi, Nairobi, Kenya
- Health Services Unit, KEMRI - Wellcome Trust Research Institute, Nairobi, Kenya
| | - Jalemba Aluvaala
- Department of Paediatrics and Child Health, University of Nairobi, Nairobi, Kenya
- Health Services Unit, KEMRI - Wellcome Trust Research Institute, Nairobi, Kenya
| | - Lucas Malla
- Health Services Unit, KEMRI - Wellcome Trust Research Institute, Nairobi, Kenya
| | - Sylvia Omoke
- Health Services Unit, KEMRI - Wellcome Trust Research Institute, Nairobi, Kenya
| | - Morris Ogero
- Health Services Unit, KEMRI - Wellcome Trust Research Institute, Nairobi, Kenya
| | - George Mbevi
- Health Services Unit, KEMRI - Wellcome Trust Research Institute, Nairobi, Kenya
| | - Mary Waiyego
- Health Services, Nairobi Metropolitan Services, Nairobi, Kenya
| | - Caroline Mwangi
- Division of Neonatal and Child Health, Kenya Ministry of Health, Nairobi, Kenya
| | - Fred Were
- Kenya Paediatric Research Consortium (KEPRECON), Nairobi, Kenya
| | - David Gathara
- Health Services Unit, KEMRI - Wellcome Trust Research Institute, Nairobi, Kenya
- MARCH Centre, London School of Hygiene and Tropical Medicine, London, UK
| | - Ambrose Agweyu
- Health Services Unit, KEMRI - Wellcome Trust Research Institute, Nairobi, Kenya
| | - Samuel Akech
- Health Services Unit, KEMRI - Wellcome Trust Research Institute, Nairobi, Kenya
| | - Mike English
- Health Services Unit, KEMRI - Wellcome Trust Research Institute, Nairobi, Kenya
- Nuffield Department of Clinical Medicine, Oxford, Oxfordshire, UK
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English M, Irimu G, Akech S, Aluvaala J, Ogero M, Isaaka L, Malla L, Tuti T, Gathara D, Oliwa J, Agweyu A. Employing learning health system principles to advance research on severe neonatal and paediatric illness in Kenya. BMJ Glob Health 2021; 6:e005300. [PMID: 33758014 PMCID: PMC7993294 DOI: 10.1136/bmjgh-2021-005300] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 03/03/2021] [Accepted: 03/07/2021] [Indexed: 11/03/2022] Open
Abstract
We have worked to develop a Clinical Information Network (CIN) in Kenya as an early form of learning health systems (LHS) focused on paediatric and neonatal care that now spans 22 hospitals. CIN's aim was to examine important outcomes of hospitalisation at scale, identify and ultimately solve practical problems of service delivery, drive improvements in quality and test interventions. By including multiple routine settings in research, we aimed to promote generalisability of findings and demonstrate potential efficiencies derived from LHS. We illustrate the nature and range of research CIN has supported over the past 7 years as a form of LHS. Clinically, this has largely focused on common, serious paediatric illnesses such as pneumonia, malaria and diarrhoea with dehydration with recent extensions to neonatal illnesses. CIN also enables examination of the quality of care, for example that provided to children with severe malnutrition and the challenges encountered in routine settings in adopting simple technologies (pulse oximetry) and more advanced diagnostics (eg, Xpert MTB/RIF). Although regular feedback to hospitals has been associated with some improvements in quality data continue to highlight system challenges that undermine provision of basic, quality care (eg, poor access to blood glucose testing and routine microbiology). These challenges include those associated with increased mortality risk (eg, delays in blood transfusion). Using the same data the CIN platform has enabled conduct of randomised trials and supports malaria vaccine and most recently COVID-19 surveillance. Employing LHS principles has meant engaging front-line workers, clinical managers and national stakeholders throughout. Our experience suggests LHS can be developed in low and middle-income countries that efficiently enable contextually appropriate research and contribute to strengthening of health services and research systems.
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Affiliation(s)
- Mike English
- Health Services Unit, KEMRI-Wellcome Trust Research Programme Nairobi, Nairobi, Kenya
- Oxford Centre for Global Health Research, Nuffield Department of Clinical Medicine, Oxford, UK
| | - Grace Irimu
- Health Services Unit, KEMRI-Wellcome Trust Research Programme Nairobi, Nairobi, Kenya
- Department of Paediatrics and Child Health, University of Nairobi, Nairobi, Kenya
| | - Samuel Akech
- Health Services Unit, KEMRI-Wellcome Trust Research Programme Nairobi, Nairobi, Kenya
| | - Jalemba Aluvaala
- Health Services Unit, KEMRI-Wellcome Trust Research Programme Nairobi, Nairobi, Kenya
- Department of Paediatrics and Child Health, University of Nairobi, Nairobi, Kenya
| | - Morris Ogero
- Health Services Unit, KEMRI-Wellcome Trust Research Programme Nairobi, Nairobi, Kenya
| | - Lynda Isaaka
- Health Services Unit, KEMRI-Wellcome Trust Research Programme Nairobi, Nairobi, Kenya
| | - Lucas Malla
- Health Services Unit, KEMRI-Wellcome Trust Research Programme Nairobi, Nairobi, Kenya
| | - Timothy Tuti
- Health Services Unit, KEMRI-Wellcome Trust Research Programme Nairobi, Nairobi, Kenya
| | - David Gathara
- Health Services Unit, KEMRI-Wellcome Trust Research Programme Nairobi, Nairobi, Kenya
| | - Jacquie Oliwa
- Health Services Unit, KEMRI-Wellcome Trust Research Programme Nairobi, Nairobi, Kenya
- Department of Paediatrics and Child Health, University of Nairobi, Nairobi, Kenya
| | - Ambrose Agweyu
- Epidemiology and Demography, KEMRI-Wellcome Trust Research Programme Nairobi, Nairobi, Kenya
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44
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Uyoga S, Adetifa IMO, Karanja HK, Nyagwange J, Tuju J, Wanjiku P, Aman R, Mwangangi M, Amoth P, Kasera K, Ng'ang'a W, Rombo C, Yegon C, Kithi K, Odhiambo E, Rotich T, Orgut I, Kihara S, Otiende M, Bottomley C, Mupe ZN, Kagucia EW, Gallagher KE, Etyang A, Voller S, Gitonga JN, Mugo D, Agoti CN, Otieno E, Ndwiga L, Lambe T, Wright D, Barasa E, Tsofa B, Bejon P, Ochola-Oyier LI, Agweyu A, Scott JAG, Warimwe GM. Seroprevalence of anti-SARS-CoV-2 IgG antibodies in Kenyan blood donors. Science 2021; 371:79-82. [PMID: 33177105 PMCID: PMC7877494 DOI: 10.1126/science.abe1916] [Citation(s) in RCA: 173] [Impact Index Per Article: 57.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Accepted: 11/06/2020] [Indexed: 12/13/2022]
Abstract
The spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Africa is poorly described. The first case of SARS-CoV-2 in Kenya was reported on 12 March 2020, and an overwhelming number of cases and deaths were expected, but by 31 July 2020, there were only 20,636 cases and 341 deaths. However, the extent of SARS-CoV-2 exposure in the community remains unknown. We determined the prevalence of anti-SARS-CoV-2 immunoglobulin G among blood donors in Kenya in April-June 2020. Crude seroprevalence was 5.6% (174 of 3098). Population-weighted, test-performance-adjusted national seroprevalence was 4.3% (95% confidence interval, 2.9 to 5.8%) and was highest in urban counties Mombasa (8.0%), Nairobi (7.3%), and Kisumu (5.5%). SARS-CoV-2 exposure is more extensive than indicated by case-based surveillance, and these results will help guide the pandemic response in Kenya and across Africa.
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Affiliation(s)
- Sophie Uyoga
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
| | - Ifedayo M O Adetifa
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- Department of Infectious Diseases Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
| | | | | | - James Tuju
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | | | - Rashid Aman
- Ministry of Health, Government of Kenya, Nairobi, Kenya
| | | | - Patrick Amoth
- Ministry of Health, Government of Kenya, Nairobi, Kenya
| | | | - Wangari Ng'ang'a
- Presidential Policy and Strategy Unit, The Presidency, Government of Kenya, Nairobi, Kenya
| | - Charles Rombo
- Kenya National Blood Transfusion Services, Ministry of Health, Nairobi, Kenya
| | - Christine Yegon
- Kenya National Blood Transfusion Services, Ministry of Health, Nairobi, Kenya
| | - Khamisi Kithi
- Kenya National Blood Transfusion Services, Ministry of Health, Nairobi, Kenya
| | - Elizabeth Odhiambo
- Kenya National Blood Transfusion Services, Ministry of Health, Nairobi, Kenya
| | - Thomas Rotich
- Kenya National Blood Transfusion Services, Ministry of Health, Nairobi, Kenya
| | - Irene Orgut
- Kenya National Blood Transfusion Services, Ministry of Health, Nairobi, Kenya
| | - Sammy Kihara
- Kenya National Blood Transfusion Services, Ministry of Health, Nairobi, Kenya
| | - Mark Otiende
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Christian Bottomley
- Department of Infectious Diseases Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
| | - Zonia N Mupe
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | | | - Katherine E Gallagher
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- Department of Infectious Diseases Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
| | | | - Shirine Voller
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- Department of Infectious Diseases Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
| | | | - Daisy Mugo
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | | | - Edward Otieno
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | | | - Teresa Lambe
- Nuffield Department of Medicine, Oxford University, Oxford, UK
| | - Daniel Wright
- Nuffield Department of Medicine, Oxford University, Oxford, UK
| | - Edwine Barasa
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | | | - Philip Bejon
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- Nuffield Department of Medicine, Oxford University, Oxford, UK
| | | | | | - J Anthony G Scott
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- Department of Infectious Diseases Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
| | - George M Warimwe
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- Nuffield Department of Medicine, Oxford University, Oxford, UK
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Uyoga S, Adetifa IMO, Karanja HK, Nyagwange J, Tuju J, Wanjiku P, Aman R, Mwangangi M, Amoth P, Kasera K, Ng'ang'a W, Rombo C, Yegon C, Kithi K, Odhiambo E, Rotich T, Orgut I, Kihara S, Otiende M, Bottomley C, Mupe ZN, Kagucia EW, Gallagher KE, Etyang A, Voller S, Gitonga JN, Mugo D, Agoti CN, Otieno E, Ndwiga L, Lambe T, Wright D, Barasa E, Tsofa B, Bejon P, Ochola-Oyier LI, Agweyu A, Scott JAG, Warimwe GM. Seroprevalence of anti-SARS-CoV-2 IgG antibodies in Kenyan blood donors. Science 2021; 371:79-82. [PMID: 33177105 DOI: 10.1101/2020.07.27.20162693] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Accepted: 11/06/2020] [Indexed: 05/24/2023]
Abstract
The spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Africa is poorly described. The first case of SARS-CoV-2 in Kenya was reported on 12 March 2020, and an overwhelming number of cases and deaths were expected, but by 31 July 2020, there were only 20,636 cases and 341 deaths. However, the extent of SARS-CoV-2 exposure in the community remains unknown. We determined the prevalence of anti-SARS-CoV-2 immunoglobulin G among blood donors in Kenya in April-June 2020. Crude seroprevalence was 5.6% (174 of 3098). Population-weighted, test-performance-adjusted national seroprevalence was 4.3% (95% confidence interval, 2.9 to 5.8%) and was highest in urban counties Mombasa (8.0%), Nairobi (7.3%), and Kisumu (5.5%). SARS-CoV-2 exposure is more extensive than indicated by case-based surveillance, and these results will help guide the pandemic response in Kenya and across Africa.
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Affiliation(s)
- Sophie Uyoga
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
| | - Ifedayo M O Adetifa
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- Department of Infectious Diseases Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
| | | | | | - James Tuju
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | | | - Rashid Aman
- Ministry of Health, Government of Kenya, Nairobi, Kenya
| | | | - Patrick Amoth
- Ministry of Health, Government of Kenya, Nairobi, Kenya
| | | | - Wangari Ng'ang'a
- Presidential Policy and Strategy Unit, The Presidency, Government of Kenya, Nairobi, Kenya
| | - Charles Rombo
- Kenya National Blood Transfusion Services, Ministry of Health, Nairobi, Kenya
| | - Christine Yegon
- Kenya National Blood Transfusion Services, Ministry of Health, Nairobi, Kenya
| | - Khamisi Kithi
- Kenya National Blood Transfusion Services, Ministry of Health, Nairobi, Kenya
| | - Elizabeth Odhiambo
- Kenya National Blood Transfusion Services, Ministry of Health, Nairobi, Kenya
| | - Thomas Rotich
- Kenya National Blood Transfusion Services, Ministry of Health, Nairobi, Kenya
| | - Irene Orgut
- Kenya National Blood Transfusion Services, Ministry of Health, Nairobi, Kenya
| | - Sammy Kihara
- Kenya National Blood Transfusion Services, Ministry of Health, Nairobi, Kenya
| | - Mark Otiende
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Christian Bottomley
- Department of Infectious Diseases Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
| | - Zonia N Mupe
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | | | - Katherine E Gallagher
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- Department of Infectious Diseases Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
| | | | - Shirine Voller
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- Department of Infectious Diseases Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
| | | | - Daisy Mugo
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | | | - Edward Otieno
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | | | - Teresa Lambe
- Nuffield Department of Medicine, Oxford University, Oxford, UK
| | - Daniel Wright
- Nuffield Department of Medicine, Oxford University, Oxford, UK
| | - Edwine Barasa
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
| | | | - Philip Bejon
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- Nuffield Department of Medicine, Oxford University, Oxford, UK
| | | | | | - J Anthony G Scott
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- Department of Infectious Diseases Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
| | - George M Warimwe
- KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya
- Nuffield Department of Medicine, Oxford University, Oxford, UK
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Agweyu A, Masenge T, Munube D. Extending the measurement of quality beyond service delivery indicators. BMJ Glob Health 2020; 5:e004553. [PMID: 33355260 PMCID: PMC7751206 DOI: 10.1136/bmjgh-2020-004553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Accepted: 11/26/2020] [Indexed: 11/03/2022] Open
Affiliation(s)
- Ambrose Agweyu
- Department of Epidemiology and Demography, KEMRI-Wellcome Trust Research Institute, Nairobi, Kenya
- Kenya Paediatric Association, Nairobi, Kenya
| | - Theopista Masenge
- Elizabeth Glaser Pediatric AIDS Foundation Tanzania, Dar es Salaam, United Republic of Tanzania
- Paediatric Association of Tanzania, Dar es Salaam, United Republic of Tanzania
| | - Deogratias Munube
- Department of Paediatrics and Child Health, Makerere University/Mulago National Referral Hospital, Kampala, Uganda
- Uganda Paediatric Association, Kampala, Uganda
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Ogero M, Sarguta RJ, Malla L, Aluvaala J, Agweyu A, English M, Onyango NO, Akech S. Prognostic models for predicting in-hospital paediatric mortality in resource-limited countries: a systematic review. BMJ Open 2020; 10:e035045. [PMID: 33077558 PMCID: PMC7574949 DOI: 10.1136/bmjopen-2019-035045] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Revised: 09/03/2020] [Accepted: 09/09/2020] [Indexed: 01/19/2023] Open
Abstract
OBJECTIVES To identify and appraise the methodological rigour of multivariable prognostic models predicting in-hospital paediatric mortality in low-income and middle-income countries (LMICs). DESIGN Systematic review of peer-reviewed journals. DATA SOURCES MEDLINE, CINAHL, Google Scholar and Web of Science electronic databases since inception to August 2019. ELIGIBILITY CRITERIA We included model development studies predicting in-hospital paediatric mortality in LMIC. DATA EXTRACTION AND SYNTHESIS This systematic review followed the Checklist for critical Appraisal and data extraction for systematic Reviews of prediction Modelling Studies framework. The risk of bias assessment was conducted using Prediction model Risk of Bias Assessment Tool (PROBAST). No quantitative summary was conducted due to substantial heterogeneity that was observed after assessing the studies included. RESULTS Our search strategy identified a total of 4054 unique articles. Among these, 3545 articles were excluded after review of titles and abstracts as they covered non-relevant topics. Full texts of 509 articles were screened for eligibility, of which 15 studies reporting 21 models met the eligibility criteria. Based on the PROBAST tool, risk of bias was assessed in four domains; participant, predictors, outcome and analyses. The domain of statistical analyses was the main area of concern where none of the included models was judged to be of low risk of bias. CONCLUSION This review identified 21 models predicting in-hospital paediatric mortality in LMIC. However, most reports characterising these models are of poor quality when judged against recent reporting standards due to a high risk of bias. Future studies should adhere to standardised methodological criteria and progress from identifying new risk scores to validating or adapting existing scores. PROSPERO REGISTRATION NUMBER CRD42018088599.
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Affiliation(s)
- Morris Ogero
- School of Mathematics, University of Nairobi College of Biological and Physical Sciences, Nairobi, Kenya
- Health Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
| | - Rachel Jelagat Sarguta
- School of Mathematics, University of Nairobi College of Biological and Physical Sciences, Nairobi, Kenya
| | - Lucas Malla
- Health Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
| | - Jalemba Aluvaala
- Health Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
| | - Ambrose Agweyu
- Health Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
| | - Mike English
- Health Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
- Nuffield Department of Medicine and Department of Paediatrics, Oxford University, Oxford, UK
| | - Nelson Owuor Onyango
- School of Mathematics, University of Nairobi College of Biological and Physical Sciences, Nairobi, Kenya
| | - Samuel Akech
- Health Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
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Simba J, Sinha I, Mburugu P, Agweyu A, Emadau C, Akech S, Kithuci R, Oyiengo L, English M. Is the effect of COVID-19 on children underestimated in low- and middle- income countries? Acta Paediatr 2020; 109:1930-1931. [PMID: 32557761 PMCID: PMC7323043 DOI: 10.1111/apa.15419] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2020] [Revised: 05/21/2020] [Accepted: 06/11/2020] [Indexed: 12/24/2022]
Affiliation(s)
- Justus Simba
- Child Health and Paediatrics Jomo Kenyatta University of Agriculture and Technology Nairobi Kenya
| | - Ian Sinha
- Respiratory Medicine Alder Hey Children’s Hospital Liverpool UK
| | - Patrick Mburugu
- Child Health and Paediatrics Jomo Kenyatta University of Agriculture and Technology Nairobi Kenya
| | - Ambrose Agweyu
- Health Services Unit KEMRI‐Wellcome Trust Research Programme Nairobi Kenya
| | - Caren Emadau
- Paediatrics Mama Lucy Kibaki Hospital Nairobi Kenya
| | - Sam Akech
- Health Services Unit KEMRI‐Wellcome Trust Research Programme Nairobi Kenya
| | - Rosemary Kithuci
- School of Nursing Jomo Kenyatta University of Agriculture and Technology Nairobi Kenya
| | - Laura Oyiengo
- Neonatal and Child Health Division Ministry of Health Nairobi Kenya
| | - Mike English
- Health Services Unit KEMRI‐Wellcome Trust Research Programme Nairobi Kenya
- Centre for Tropical Medicine and Global Health Nuffield Department of Medicine University of Oxford Oxford UK
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Akech S, Chepkirui M, Ogero M, Agweyu A, Irimu G, English M, Snow RW. The Clinical Profile of Severe Pediatric Malaria in an Area Targeted for Routine RTS,S/AS01 Malaria Vaccination in Western Kenya. Clin Infect Dis 2020; 71:372-380. [PMID: 31504308 PMCID: PMC7353324 DOI: 10.1093/cid/ciz844] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Accepted: 08/23/2019] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND The malaria prevalence has declined in western Kenya, resulting in the risk of neurological phenotypes in older children. This study investigates the clinical profile of pediatric malaria admissions ahead of the introduction of the RTS,S/AS01 vaccine. METHODS Malaria admissions in children aged 1 month to 15 years were identified from routine, standardized, inpatient clinical surveillance data collected between 2015 and 2018 from 4 hospitals in western Kenya. Malaria phenotypes were defined based on available data. RESULTS There were 5766 malaria admissions documented. The median age was 36 months (interquartile range, 18-60): 15% were aged between 1-11 months of age, 33% were aged 1-23 months of age, and 70% were aged 1 month to 5 years. At admission, 2340 (40.6%) children had severe malaria: 421/2208 (19.1%) had impaired consciousness, 665/2240 (29.7%) had an inability to drink or breastfeed, 317/2340 (13.6%) had experienced 2 or more convulsions, 1057/2340 (45.2%) had severe anemia, and 441/2239 (19.7%) had severe respiratory distress. Overall, 211 (3.7%) children admitted with malaria died; 163/211 (77% deaths, case fatality rate 7.0%) and 48/211 (23% deaths, case fatality rate 1.4%) met the criteria for severe malaria and nonsevere malaria at admission, respectively. The median age for fatal cases was 33 months (interquartile range, 12-72) and the case fatality rate was highest in those unconscious (44.4%). CONCLUSIONS Severe malaria in western Kenya is still predominantly seen among the younger pediatric age group and current interventions targeted for those <5 years are appropriate. However, there are increasing numbers of children older than 5 years admitted with malaria, and ongoing hospital surveillance would identify when interventions should target older children.
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Affiliation(s)
- Samuel Akech
- Kenya Medical Research Institute/Wellcome Trust Research Programme, Nairobi, Kenya
| | - Mercy Chepkirui
- Kenya Medical Research Institute/Wellcome Trust Research Programme, Nairobi, Kenya
| | - Morris Ogero
- Kenya Medical Research Institute/Wellcome Trust Research Programme, Nairobi, Kenya
| | - Ambrose Agweyu
- Kenya Medical Research Institute/Wellcome Trust Research Programme, Nairobi, Kenya
| | - Grace Irimu
- Kenya Medical Research Institute/Wellcome Trust Research Programme, Nairobi, Kenya
- Department of Paediatrics and Child Health, University of Nairobi, Nairobi, Kenya
| | - Mike English
- Kenya Medical Research Institute/Wellcome Trust Research Programme, Nairobi, Kenya
- Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom
| | - Robert W Snow
- Kenya Medical Research Institute/Wellcome Trust Research Programme, Nairobi, Kenya
- Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom
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50
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Ogero M, Akech S, Malla L, Agweyu A, Irimu G, English M. Examining which clinicians provide admission hospital care in a high mortality setting and their adherence to guidelines: an observational study in 13 hospitals. Arch Dis Child 2020; 105:648-654. [PMID: 32169853 PMCID: PMC7361020 DOI: 10.1136/archdischild-2019-317256] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Revised: 12/23/2019] [Accepted: 01/03/2020] [Indexed: 11/07/2022]
Abstract
BACKGROUND We explored who actually provides most admission care in hospitals offering supervised experiential training to graduating clinicians in a high mortality setting where practices deviate from guideline recommendations. METHODS We used a large observational data set from 13 Kenyan county hospitals from November 2015 through November 2018 where patients were linked to admitting clinicians. We explored guideline adherence after creating a cumulative correctness of Paediatric Admission Quality of Care (cPAQC) score on a 5-point scale (0-4) in which points represent correct, sequential progress in providing care perfectly adherent to guidelines comprising admission assessment, diagnosis and treatment. At the point where guideline adherence declined the most we dichotomised the cPAQC score and used multilevel logistic regression models to explore whether clinician and patient-level factors influence adherence. RESULTS There were 1489 clinicians who could be linked to 53 003 patients over a period of 3 years. Patients were rarely admitted by fully qualified clinicians and predominantly by preregistration medical officer interns (MOI, 46%) and diploma level clinical officer interns (COI, 41%) with a median of 28 MOI (range 11-68) and 52 COI (range 5-160) offering care per study hospital. The cPAQC scores suggest that perfect guideline adherence is found in ≤12% of children with malaria, pneumonia or diarrhoea with dehydration. MOIs were more adherent to guidelines than COI (adjusted OR 1.19 (95% CI 1.07 to 1.34)) but multimorbidity was significantly associated with lower guideline adherence. CONCLUSION Over 85% of admissions to hospitals in high mortality settings that offer experiential training in Kenya are conducted by preregistration clinicians. Clinical assessment is good but classifying severity of illness in accordance with guideline recommendations is a challenge. Adherence by MOI with 6 years' training is better than COI with 3 years' training, performance does not seem to improve during their 3 months of paediatric rotations.
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Affiliation(s)
- Morris Ogero
- Health Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
- School of Mathematics, University of Nairobi College of Biological and Physical Sciences, Nairobi, Kenya
| | - Samuel Akech
- Health Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
| | - Lucas Malla
- Health Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
| | - Ambrose Agweyu
- Health Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
| | - Grace Irimu
- Health Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
- Pediatrics, University of Nairobi, Nairobi, Kenya
| | - Mike English
- Health Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
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