1
|
Aleem M, DeBord K, Ahmed M, Rahman M, Rahman M, Islam M, Alamgir A, Salimuzzaman M, Shirin T, Chisti M, Rahman M, Azziz‐Baumgartner E, Chowdhury F, Iuliano A. Incidence of Hospitalization due to Influenza-Associated Severe Acute Respiratory Infection During 2010-2019 in Bangladesh. Influenza Other Respir Viruses 2024; 18:e13352. [PMID: 39005150 PMCID: PMC11247272 DOI: 10.1111/irv.13352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Revised: 06/15/2024] [Accepted: 06/20/2024] [Indexed: 07/16/2024] Open
Abstract
BACKGROUND Global influenza-associated acute respiratory infections contribute to 3-5 million severe illnesses requiring hospitalization annually, with 90% of hospitalizations occurring among children < 5 years in developing countries. In Bangladesh, the inadequate availability of nationally representative, robust estimates of influenza-associated hospitalizations limits allocation of resources for prevention and control measures. METHODS This study used data from the hospital-based influenza surveillance (HBIS) system in Bangladesh from 2010 to 2019 and healthcare utilization surveys to determine hospital utilization patterns in the catchment area. We estimated annual influenza-associated hospitalization numbers and rates for all age groups in Bangladesh using WHO methods, adjusted for a 6-day-a-week enrollment schedule, selective testing of specimens from children under five, and healthcare-seeking behavior, based on the proportion of symptomatic community participants seeking healthcare within the past week. We then estimated national hospitalization rates by multiplying age-specific hospitalization rates with the corresponding annual national census population. RESULTS Annual influenza-associated hospitalization rates per 100,000 population for all ages ranged from 31 (95% CI: 27-36) in 2011 to 139 (95% CI: 130-149) in 2019. Children < 5 years old had the highest rates of influenza-associated hospitalization, ranging from 114 (95% CI: 90-138) in 2011 to 529 (95% CI: 481-578) in 2019, followed by adults aged ≥ 65 years with rates ranging from 46 (95% CI: 34-57) in 2012 to 252 (95% CI: 213-292) in 2019. The national hospitalization estimates for all ages during 2010-2019 ranged from 47,891 to 236,380 per year. CONCLUSIONS The impact of influenza-associated hospitalizations in Bangladesh may be considerable, particularly for young children and older adults. Targeted interventions, such as influenza vaccination for these age groups, should be prioritized and evaluated.
Collapse
Affiliation(s)
- Mohammad Abdul Aleem
- Program for Emerging Infections, Infectious Diseases DivisionInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b)DhakaBangladesh
| | - Katherine Roguski DeBord
- National Center for Emerging and Zoonotic Infectious DiseasesCenters for Disease Control and Prevention (CDC)AtlantaUSA
| | - Makhdum Ahmed
- Hematology OncologyAstraZenecaBostonMassachusettsUSA
| | - Mohammed Ziaur Rahman
- One Health Laboratory, Infectious Diseases DivisionInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b)DhakaBangladesh
| | - Mustafizur Rahman
- Virology Laboratory, Infectious Diseases DivisionInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b)DhakaBangladesh
| | - Md Ariful Islam
- Program for Emerging Infections, Infectious Diseases DivisionInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b)DhakaBangladesh
| | - A. S. M. Alamgir
- Institute of EpidemiologyDisease Control and Research (IEDCR)DhakaBangladesh
| | - M. Salimuzzaman
- Institute of EpidemiologyDisease Control and Research (IEDCR)DhakaBangladesh
| | - Tahmina Shirin
- Institute of EpidemiologyDisease Control and Research (IEDCR)DhakaBangladesh
| | - Mohammod Jobayer Chisti
- Maternal and Child Nutrition, Nutrition Research DivisionInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b)DhakaBangladesh
| | - Mahmudur Rahman
- Eastern Mediterranean Public Health Network (EMPHNET)DhakaBangladesh
| | - Eduardo Azziz‐Baumgartner
- Global Influenza Branch, Influenza DivisionCenters for Disease Control and Prevention (CDC)AtlantaGeorgiaUSA
| | - Fahmida Chowdhury
- Program for Emerging Infections, Infectious Diseases DivisionInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b)DhakaBangladesh
| | - A. Danielle Iuliano
- Influenza DivisionCenters for Disease Control and Prevention (CDC)AtlantaUSA
| |
Collapse
|
2
|
Farah Z, El Naja HA, Tempia S, Saleh N, Abubakar A, Maison P, Ghosn N. Estimation of the influenza-associated respiratory hospitalization burden using sentinel surveillance data, Lebanon, 2015-2020. Influenza Other Respir Viruses 2023; 17:e13138. [PMID: 37102058 PMCID: PMC10123392 DOI: 10.1111/irv.13138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 03/25/2023] [Accepted: 04/05/2023] [Indexed: 04/28/2023] Open
Abstract
Introduction Influenza epidemics cause around 3 to 5 million cases of severe illness worldwide every year. Estimates are needed for a better understanding of the burden of disease especially in low- and middle-income countries. The objective of this study is to estimate the number and rate of influenza-associated respiratory hospitalizations in Lebanon during five influenza seasons (2015-2016 to 2019-2020) by age and province of residence in addition to estimating the influenza burden by level of severity. Methods The severe acute respiratory infection sentinel surveillance system was used to compute influenza positivity from the influenza laboratory confirmed cases. The total of respiratory hospitalizations under the influenza and pneumonia diagnosis was retrieved from the Ministry of Public Health hospital billing database. Age-specific and province-specific frequencies and rates were estimated for each season. Rates per 100 000 population were calculated with 95% confidence levels. Results The estimated seasonal average of influenza-associated hospital admission was 2866 for a rate of 48.1 (95% CI: 46.4-49.9) per 100 000. As for the distribution by age group, the highest rates were seen in the two age groups ≥65 years and 0-4 years whereas the lowest rate was for the age group 15-49 years. For the distribution by province of residence, the highest influenza-associated hospitalization rates were reported from the Bekaa-Baalback/Hermel provinces. Conclusion This study shows the substantial burden of influenza in Lebanon mainly on high-risk groups (≥65 years and <5 years). It is crucial to translate these findings into policies and practices to reduce the burden and estimate the illness-related expenditure and indirect costs.
Collapse
Affiliation(s)
- Zeina Farah
- Epidemiological Surveillance ProgramMinistry of Public HealthBeirutLebanon
| | - Hala Abou El Naja
- Eastern Mediterranean Regional OfficeWorld Health OrganizationCairoEgypt
| | - Stefano Tempia
- Global Influenza ProgramWorld Health OrganizationGenevaSwitzerland
| | - Nadine Saleh
- Faculty of Public HealthLebanese UniversityBeirutLebanon
- INSPECT‐LB (Institut National de Santé Publique, d'Épidémiologie Clinique et de Toxicologie)BeirutLebanon
| | | | - Patrick Maison
- French National Agency for Medicines and Health Products Safety (ANSM)Saint‐DenisFrance
- Paris‐Est Creteil UniversityCreteilFrance
| | - Nada Ghosn
- Epidemiological Surveillance ProgramMinistry of Public HealthBeirutLebanon
| |
Collapse
|
3
|
Ojuawo OB, Iroh Tam PY. Childhood Pneumonia Diagnostics in Sub-Saharan Africa: A Systematic Review. J Trop Pediatr 2022; 68:6604072. [PMID: 35674266 DOI: 10.1093/tropej/fmac045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
BACKGROUND The prompt and accurate aetiological diagnosis of childhood pneumonia remains a challenge, especially in sub-Saharan Africa (SSA) because of limited resources for disease management. OBJECTIVE To review existing diagnostics for childhood pneumonia and potential modalities available to differentiate between bacterial and viral aetiologies in SSA. METHODS Online databases were searched for relevant articles published between January 2010 and December 2020 regarding childhood pneumonia diagnosis, conducted in SSA in children less than 18 years of age. The 2020 PRISMA checklist was utilized in appraising the selected studies and the QUADAS-2 tool was employed to assess the risk of bias in each of the studies selected. RESULTS A total of 1542 study titles and abstracts were screened following which 45 studies (39 on childhood pneumonia diagnostics and 6 on discriminating between bacterial and viral childhood pneumonia) were selected for review. Microbiological investigations (79.7%) constituted the most utilized index tests with blood-related specimen (32.8%) being the most utilized specimen. The most performed index diagnostic modality was polymerase chain reaction (PCR) (53.1%). The commonest reference gold standard technique was based on clinical diagnosis of the disease (46.2%). Only six studies in SSA attempted at using serum biomarkers, either singly or in combination to distinguish between aetiologies with use of combined biomarkers showing promise. CONCLUSION Microbiological investigations are the most employed diagnostic methods for childhood pneumonia in SSA. More studies are required to evaluate the potential use of serum biomarkers; either singly or in combination with the goal of discriminating bacterial and viral childhood pneumonia.
Collapse
Affiliation(s)
| | - Pui-Ying Iroh Tam
- Respiratory Department, Sandwell and West Birmingham Hospitals NHS Trust, Dudley Road, Birmingham B187QH, UK.,Department of Paediatrics and Child Health, Kamuzu University of Health Sciences, Blantyre, Malawi.,Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK
| |
Collapse
|
4
|
Gachari MN, Ndegwa L, Emukule GO, Kirui L, Kalani R, Juma B, Mayieka L, Kinuthia P, Widdowson MA, Chaves SS. Severe acute respiratory illness surveillance for influenza in Kenya: Patient characteristics and lessons learnt. Influenza Other Respir Viruses 2022; 16:740-748. [PMID: 35289078 PMCID: PMC9111565 DOI: 10.1111/irv.12979] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 03/01/2022] [Indexed: 12/24/2022] Open
Abstract
Background We describe the epidemiology and clinical features of Kenyan patients hospitalized with laboratory‐confirmed influenza compared with those testing negative and discuss the potential contribution of severe acute respiratory illness (SARI) surveillance in monitoring a broader range of respiratory pathogens. Methods We described demographic and clinical characteristics of SARI cases among children (<18 years) and adults, separately. We compared disease severity (clinical features and treatment) of hospitalized influenza positive versus negative cases and explored independent predictors of death among SARI cases using a multivariable logistic regression model. Results From January 2014 to December 2018, 11,166 persons were hospitalized with SARI and overall positivity for influenza was ~10%. There were 10,742 (96%) children (<18 years)—median age of 1 year, interquartile range (IQR = 6 months, 2 years). Only 424 (4%) of the SARI cases were adults (≥18 years), with median age of 38 years (IQR 28 years, 52 years). There was no difference in disease severity comparing influenza positive and negative cases among children. Children hospitalized with SARI who had an underlying illness had greater odds of in‐hospital death compared with those without (adjusted odds ratio 2.11 95% CI 1.09–4.07). No further analysis was done among adults due to the small sample size. Conclusion Kenya's sentinel surveillance for SARI mainly captures data on younger children. Hospital‐based platforms designed to monitor influenza viruses and associated disease burden may be adapted and expanded to other respiratory viruses to inform public health interventions. Efforts should be made to capture adults as part of routine respiratory surveillance.
Collapse
Affiliation(s)
- Maryanne N Gachari
- Kenya Field Epidemiology and Laboratory Training Program (K-FELTP), Nairobi, Kenya
| | - Linus Ndegwa
- Influenza Program, Centers for Disease Control and Prevention (CDC), Nairobi, Kenya
| | - Gideon O Emukule
- Influenza Program, Centers for Disease Control and Prevention (CDC), Nairobi, Kenya
| | - Lily Kirui
- Ministry of Health, National Influenza Centre (NIC), Nairobi, Kenya
| | - Rosalia Kalani
- Division of Disease Surveillance and Response, Ministry of Health, Nairobi, Kenya
| | - Bonventure Juma
- Influenza Program, Centers for Disease Control and Prevention (CDC), Nairobi, Kenya
| | - Lilian Mayieka
- Kenya Medical Research Institute (KEMRI), Nairobi, Kenya
| | - Peter Kinuthia
- Ministry of Health, National Influenza Centre (NIC), Nairobi, Kenya
| | - Marc-Alain Widdowson
- Division of Global Health Protection, Centers for Disease Control and Prevention (CDC), Nairobi, Kenya.,Institute of Tropical Medicine, Antwerp, Belgium
| | - Sandra S Chaves
- Influenza Program, Centers for Disease Control and Prevention (CDC), Nairobi, Kenya.,Influenza Division, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| |
Collapse
|
5
|
Tempia S, Moyes J, Cohen AL, Walaza S, McMorrow ML, Treurnicht FK, Hellferscee O, Wolter N, von Gottberg A, Dawood H, Variava E, Cohen C. The national burden of influenza-like illness and severe respiratory illness overall and associated with nine respiratory viruses in South Africa, 2013-2015. Influenza Other Respir Viruses 2022; 16:438-451. [PMID: 35150059 PMCID: PMC8983907 DOI: 10.1111/irv.12949] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2021] [Revised: 11/30/2021] [Accepted: 12/01/2021] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND Estimates of the disease burden associated with different respiratory viruses are severely limited in low- and middle-income countries, especially in Africa. METHODS We estimated age-specific numbers and rates of medically and non-medically attended influenza-like illness (ILI) and severe respiratory illness (SRI) that were associated with influenza, respiratory syncytial virus (RSV), rhinovirus, human metapneumovirus, adenovirus, enterovirus and parainfluenza virus types 1-3 after adjusting for the attributable fraction (AF) of virus detection to illness in South Africa during 2013-2015. The base rates were estimated from five surveillance sites and extrapolated nationally. RESULTS The mean annual rates per 100,000 population were 51,383 and 4196 for ILI and SRI, respectively. Of these, 26% (for ILI) and 46% (for SRI) were medically attended. Among outpatients with ILI, rhinovirus had the highest AF-adjusted rate (7221), followed by influenza (6443) and adenovirus (1364); whereas, among inpatients with SRI, rhinovirus had the highest AF-adjusted rate (400), followed by RSV (247) and influenza (130). Rhinovirus (9424) and RSV (2026) had the highest AF-adjusted rates among children aged <5 years with ILI or SRI, respectively, whereas rhinovirus (757) and influenza (306) had the highest AF-adjusted rates among individuals aged ≥65 years with ILI or SRI, respectively. CONCLUSIONS There was a substantial burden of ILI and SRI in South Africa during 2013-2015. Rhinovirus and influenza had a prominent disease burden among patients with ILI. RSV and influenza were the most prominent causes of SRI in children and the elderly, respectively.
Collapse
Affiliation(s)
- Stefano Tempia
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA.,Influenza Program, Centers for Disease Control and Prevention, Pretoria, South Africa.,Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.,MassGenics, Duluth, GA, USA.,School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Jocelyn Moyes
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.,School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Adam L Cohen
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA.,Global Immunization Monitoring and Surveillance Team, Expanded Programme on Immunization, Department of Immunization, Vaccines and Biological, World Health Organization, Geneva, Switzerland
| | - Sibongile Walaza
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.,School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Meredith L McMorrow
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA.,Influenza Program, Centers for Disease Control and Prevention, Pretoria, South Africa
| | - Florette K Treurnicht
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.,Division of Virology, National Health Laboratory Service, Charlotte Maxeke Johannesburg Academic Hospital, Johannesburg, South Africa
| | - Orienka Hellferscee
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.,School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Nicole Wolter
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.,School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Anne von Gottberg
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.,School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Halima Dawood
- Department of Medicine, Pietermaritzburg Metropolitan Hospital, Pietermaritzburg, South Africa.,Department of Medicine, University of KwaZulu-Natal, Pietermaritzburg, South Africa
| | - Ebrahim Variava
- Department of Medicine, Klerksdorp-Tshepong Hospital Complex, Klerksdorp, South Africa.,Department of Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,Perinatal HIV Research Unit, University of the Witwatersrand, Johannesburg, South Africa
| | - Cheryl Cohen
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.,School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| |
Collapse
|
6
|
Kim DK, McGeer A, Uleryk E, Coleman BL. Burden of severe illness associated with laboratory confirmed influenza in adults aged 50-64 years: A rapid review. Influenza Other Respir Viruses 2022; 16:632-642. [PMID: 35044096 PMCID: PMC9178069 DOI: 10.1111/irv.12955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 12/05/2021] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND While the high burden of illness caused by seasonal influenza in children and the elderly is well recognize, less is known about the burden in adults 50-64 years of age. The lack of data for this age group is a key challenge in evaluating the cost-effectiveness of immunization programs. We aimed to assess influenza-associated hospitalization and mortality rates and case fatality rates for hospitalized cases among adults aged 50-64 years. METHODS This rapid review was conducted according to the PRISMA; we searched MEDLINE, EMBASE, Cochrane, Web of Science, and grey literature for articles and reports published since 2010. Studies reporting rates of hospitalization and/or mortality associated with laboratory-confirmed influenza among adults 50-64 or 45-64 years of age for the 2010-11 through 2019-20 seasons were included. RESULTS Twenty studies from 13 countries were reviewed. Reported rates of hospitalization associated with laboratory-confirmed influenza were 5.7 to 112.8 per 100,000. Rates tended to be higher in the 2015-2019 compared with the 2010-2014 seasons and were higher in studies reporting data from high-income versus low and middle-income countries. Mortality rates were reported in only one study, with rates ranging from 0.8 to 3.5 per 100,000 in four different seasons. The case fatality rate among those hospitalized with influenza, as reported by population-based studies, ranged from 1.3% to 5.6%. CONCLUSIONS Seasonal influenza imposes a significant burden of morbidity on adults 50-64 years of age but with high heterogeneity across seasons and geographic regions. Ongoing surveillance is required to improve estimates of burden to better inform influenza vaccination and other public health policies.
Collapse
Affiliation(s)
- Dong Kyu Kim
- Infectious Disease Epidemiology Research Unit, Sinai Health, Toronto, ON, Canada
| | - Allison McGeer
- Infectious Disease Epidemiology Research Unit, Sinai Health, Toronto, ON, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | | | - Brenda L Coleman
- Infectious Disease Epidemiology Research Unit, Sinai Health, Toronto, ON, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| |
Collapse
|
7
|
Loevinsohn G, Hamahuwa M, Sinywimaanzi P, Fenstermacher KZJ, Shaw-Saliba K, Pekosz A, Monze M, Rothman RE, Simulundu E, Thuma PE, Sutcliffe CG. Facility-based surveillance for influenza and respiratory syncytial virus in rural Zambia. BMC Infect Dis 2021; 21:986. [PMID: 34548020 PMCID: PMC8453466 DOI: 10.1186/s12879-021-06677-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 09/10/2021] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND While southern Africa experiences among the highest mortality rates from respiratory infections, the burden of influenza and respiratory syncytial virus (RSV) in rural areas is poorly understood. METHODS We implemented facility-based surveillance in Macha, Zambia. Outpatients and inpatients presenting with influenza-like illness (ILI) underwent testing for influenza A, influenza B, and RSV and were prospectively followed for 3 to 5 weeks to assess clinical course. Log-binomial models assessed correlates of infection and clinical severity. RESULTS Between December 2018 and December 2019, 17% of all outpatients presented with ILI and 16% of inpatients were admitted with an acute respiratory complaint. Influenza viruses and RSV were detected in 17% and 11% of outpatient participants with ILI, and 23% and 16% of inpatient participants with ILI, respectively. Influenza (July-September) and RSV (January-April) prevalence peaks were temporally distinct. RSV (relative risk [RR]: 1.78; 95% confidence interval [CI] 1.51-2.11), but not influenza, infection was associated with severe disease among patients with ILI. Underweight patients with ILI were more likely to be infected with influenza A (prevalence ratio [PR]: 1.72; 95% CI 1.04-2.87) and to have severe influenza A infections (RR: 2.49; 95% CI 1.57-3.93). CONCLUSIONS Populations in rural Zambia bear a sizeable burden of viral respiratory infections and severe disease. The epidemiology of infections in this rural area differs from that reported from urban areas in Zambia.
Collapse
Affiliation(s)
- Gideon Loevinsohn
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, 615 N. Wolfe Street, Room E6535, Baltimore, MD, 21205, USA
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | | | | | - Kathryn Shaw-Saliba
- Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Andrew Pekosz
- Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Microbiology and Immunology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Mwaka Monze
- Virology Laboratory, University Teaching Hospital, Lusaka, Zambia
| | - Richard E Rothman
- Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | - Philip E Thuma
- Macha Research Trust, Macha, Choma, Zambia
- Department of Microbiology and Immunology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Catherine G Sutcliffe
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, 615 N. Wolfe Street, Room E6535, Baltimore, MD, 21205, USA.
| |
Collapse
|
8
|
Influenza epidemiology and burden of disease in Mongolia, 2013-2014 to 2017-2018. Western Pac Surveill Response J 2021; 12:28-37. [PMID: 34540309 PMCID: PMC8421741 DOI: 10.5365/wpsar.2020.11.4.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Background Mongolia is a vast, sparsely populated country in central Asia. Its harsh climate and nomadic lifestyle make the population vulnerable to acute respiratory infections, particularly influenza. Evidence on the morbidity, mortality and socioeconomic impact of influenza in Mongolia is scarce; however, routine surveillance for influenza-like illness (ILI), severe acute respiratory infection (SARI) and laboratory-detected influenza is conducted. This paper describes the epidemiology of influenza and the estimated burden of influenza-associated illness in Mongolia in the five influenza seasons between 2013–2014 and 2017–2018. Methods Demographic and laboratory data from 152 sentinel surveillance sites on all patients who met the case definitions of ILI and SARI between October 2013 and May 2018 were extracted and analysed as described in A Manual for Estimating Disease Burden Associated with Seasonal Influenza. Results The estimated annual influenza-associated ILI and SARI rates, presented as ranges, were 1279–2798 and 81–666 cases per 100 000 population, respectively. Children aged < 5 years accounted for 67% of all ILI cases and 79% of all SARI cases. The annual specimen positivity for influenza was highest (11–30% for ILI and 8–31% for SARI) for children aged 5– < 15 years and children < 2 years old, respectively. The annual mortality rate due to pneumonia and SARI was highest among children aged < 2 years (15.8–54.0 per 100 000 population). Although the incidence of influenza-associated ILI and SARI was lowest for people aged 365 years, the mortality rate due to pneumonia and SARI (1.2–5.1 per 100 000) was higher than that for those aged 15–64 years. Conclusion The estimated influenza-associated ILI and SARI incidence rates are high in Mongolia, and children, especially those aged < 5 years, have the highest influenza-associated burden in Mongolia. These findings provide evidence for decision-makers in Mongolia to consider targeted influenza vaccination, particularly for children.
Collapse
|
9
|
Kraigsley AM, Moore KA, Bolster A, Peters M, Richardson D, Arpey M, Sonnenberger M, McCarron M, Lambach P, Maltezou HC, Bresee JS. Barriers and activities to implementing or expanding influenza vaccination programs in low- and middle-income countries: A global survey. Vaccine 2021; 39:3419-3427. [PMID: 33992439 DOI: 10.1016/j.vaccine.2021.04.043] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 04/02/2021] [Accepted: 04/21/2021] [Indexed: 12/28/2022]
Abstract
INTRODUCTION Despite considerable global burden of influenza, few low- and middle-income countries (LMICs) have national influenza vaccination programs. This report provides a systematic assessment of barriers to and activities that support initiating or expanding influenza vaccination programs from the perspective of in-country public health officials. METHODS Public health officials in LMICs were sent a web-based survey to provide information on barriers and activities to initiating, expanding, or maintaining national influenza vaccination programs. The survey primarily included Likert-scale questions asking respondents to rank barriers and activities in five categories. RESULTS Of 109 eligible countries, 62% participated. Barriers to influenza vaccination programs included lack of data on cost-effectiveness of influenza vaccination programs (87%) and on influenza disease burden (84%), competing health priorities (80%), lack of public perceived risk from influenza (79%), need for better risk communication tools (77%), lack of financial support for influenza vaccine programs (75%), a requirement to use only WHO-prequalified vaccines (62%), and young children require two vaccine doses (60%). Activities for advancing influenza vaccination programs included educating healthcare workers (97%) and decision-makers (91%) on the benefits of influenza vaccination, better estimates of influenza disease burden (91%) and cost of influenza vaccination programs (89%), simplifying vaccine introduction by focusing on selected high-risk groups (82%), developing tools to prioritize target populations (80%), improving availability of influenza diagnostic testing (79%), and developing collaborations with neighboring countries for vaccine procurement (74%) and regulatory approval (73%). Responses varied by country region and income status. CONCLUSIONS Local governments and key international stakeholders can use the results of this survey to improve influenza vaccination programs in LMICs, which is a critical component of global pandemic preparedness for influenza and other pathogens such as coronaviruses. Additionally, strategies to improve global influenza vaccination coverage should be tailored to country income level and geographic location.
Collapse
Affiliation(s)
- Alison M Kraigsley
- Center for Infectious Disease Research and Policy (CIDRAP), University of Minnesota, Minneapolis, MN, USA.
| | - Kristine A Moore
- Center for Infectious Disease Research and Policy (CIDRAP), University of Minnesota, Minneapolis, MN, USA
| | | | - Maya Peters
- Center for Infectious Disease Research and Policy (CIDRAP), University of Minnesota, Minneapolis, MN, USA
| | | | - Meredith Arpey
- Center for Infectious Disease Research and Policy (CIDRAP), University of Minnesota, Minneapolis, MN, USA
| | - Michelle Sonnenberger
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | | | | | - Helena C Maltezou
- Directorate of Research, Studies and Documentation, National Public Health Organization, Athens, Greece
| | - Joseph S Bresee
- The Task Force for Global Health, Atlanta, GA, USA; Centers for Disease Control and Prevention, Atlanta, GA, USA
| |
Collapse
|
10
|
Lagare A, Rajatonirina S, Testa J, Mamadou S. The epidemiology of seasonal influenza after the 2009 influenza pandemic in Africa: a systematic review. Afr Health Sci 2020; 20:1514-1536. [PMID: 34394213 PMCID: PMC8351825 DOI: 10.4314/ahs.v20i4.5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Background Influenza infection is a serious public health problem that causes an estimated 3 to 5 million cases and 250,000 deaths worldwide every year. The epidemiology of influenza is well-documented in high- and middle-income countries, however minimal effort had been made to understand the epidemiology, burden and seasonality of influenza in Africa. This study aims to assess the state of knowledge of seasonal influenza epidemiology in Africa and identify potential data gaps for policy formulation following the 2009 pandemic. Method We reviewed articles from Africa published into four databases namely: MEDLINE (PubMed), Google Scholar, Cochrane Library and Scientific Research Publishing from 2010 to 2019. Results We screened titles and abstracts of 2070 studies of which 311 were selected for full content evaluation and 199 studies were considered. Selected articles varied substantially on the basis of the topics they addressed covering the field of influenza surveillance (n=80); influenza risk factors and co-morbidities (n=15); influenza burden (n=37); influenza vaccination (n=40); influenza and other respiratory pathogens (n=22) and influenza diagnosis (n=5). Conclusion Significant progress has been made since the last pandemic in understanding the influenza epidemiology in Africa. However, efforts still remain for most countries to have sufficient data to allow countries to prioritize strategies for influenza prevention and control.
Collapse
Affiliation(s)
- Adamou Lagare
- Centre de Recherche Médicale et Sanitaire (CERMES), Niamey, Niger
| | | | - Jean Testa
- Centre de Recherche Médicale et Sanitaire (CERMES), Niamey, Niger
| | | |
Collapse
|
11
|
Igboh LS, McMorrow M, Tempia S, Emukule GO, Talla Nzussouo N, McCarron M, Williams T, Weatherspoon V, Moen A, Fawzi D, Njouom R, Nakoune E, Dauoda C, Kavunga-Membo H, Okeyo M, Heraud JM, Mambule IK, Sow SO, Tivane A, Lagare A, Adebayo A, Dia N, Mmbaga V, Maman I, Lutwama J, Simusika P, Walaza S, Mangtani P, Nguipdop-Djomo P, Cohen C, Azziz-Baumgartner E. Influenza surveillance capacity improvements in Africa during 2011-2017. Influenza Other Respir Viruses 2020; 15:495-505. [PMID: 33150650 PMCID: PMC8189239 DOI: 10.1111/irv.12818] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 09/06/2020] [Indexed: 12/14/2022] Open
Abstract
Background Influenza surveillance helps time prevention and control interventions especially where complex seasonal patterns exist. We assessed influenza surveillance sustainability in Africa where influenza activity varies and external funds for surveillance have decreased. Methods We surveyed African Network for Influenza Surveillance and Epidemiology (ANISE) countries about 2011‐2017 surveillance system characteristics. Data were summarized with descriptive statistics and analyzed with univariate and multivariable analyses to quantify sustained or expanded influenza surveillance capacity in Africa. Results Eighteen (75%) of 24 ANISE members participated in the survey; their cumulative population of 710 751 471 represent 56% of Africa's total population. All 18 countries scored a mean 95% on WHO laboratory quality assurance panels. The number of samples collected from severe acute respiratory infection case‐patients remained consistent between 2011 and 2017 (13 823 vs 13 674 respectively) but decreased by 12% for influenza‐like illness case‐patients (16 210 vs 14 477). Nine (50%) gained capacity to lineage‐type influenza B. The number of countries reporting each week to WHO FluNet increased from 15 (83%) in 2011 to 17 (94%) in 2017. Conclusions Despite declines in external surveillance funding, ANISE countries gained additional laboratory testing capacity and continued influenza testing and reporting to WHO. These gains represent important achievements toward sustainable surveillance and epidemic/pandemic preparedness.
Collapse
Affiliation(s)
- Ledor S Igboh
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.,London School of Hygiene and Tropical Medicine, London, UK
| | - Meredith McMorrow
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.,Influenza Program, Centers for Disease Control and Prevention, Pretoria, South Africa
| | - Stefano Tempia
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.,School of Public Health, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa.,MassGenics, Atlanta, GA, USA.,National Influenza Center, Johannesburg, South Africa
| | | | - Ndahwouh Talla Nzussouo
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.,MassGenics, Atlanta, GA, USA.,Centers for Disease Control and Prevention, Accra, Ghana
| | - Margaret McCarron
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Thelma Williams
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Vashonia Weatherspoon
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Ann Moen
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | | | | | | | - Coulibaly Dauoda
- National Institute Public Hygiene/Ministry of Health, Abidjan, Cote d'Ivoire
| | - Hugo Kavunga-Membo
- Institut National de Recherche Bio-medicale, Kinshasa, Democratic Republic of Congo
| | - Mary Okeyo
- National Public Health Institute, Nairobi, Kenya
| | - Jean-Michel Heraud
- Virology Unit, National Influenza Centre, Institute Pasteur de Madagascar, Antananarivo, Madagascar
| | | | - Samba Ousmane Sow
- Central National Influenza Laboratory/Ministry of Health, Bamako, Mali
| | | | - Adamou Lagare
- Center de Recherche Medicale et Sanitaire, Niamey, Niger
| | | | - Ndongo Dia
- Institut Pasteur de Dakar, Dakar, Senegal
| | - Vida Mmbaga
- National Reference Laboratory, Dar es Salaam, Tanzania
| | - Issaka Maman
- National Influenza Reference Laboratory, Lome, Togo
| | | | - Paul Simusika
- National Influenza Center, University of Zambia Teaching Hospital, Lusaka, Zambia
| | - Sibongile Walaza
- School of Public Health, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa.,National Influenza Center, Johannesburg, South Africa.,Centre for Respiratory Disease and Meningitis, National Institute for Communicable Diseases, Johannesburg, South Africa
| | - Punam Mangtani
- London School of Hygiene and Tropical Medicine, London, UK
| | | | - Cheryl Cohen
- School of Public Health, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa.,National Influenza Center, Johannesburg, South Africa.,Centre for Respiratory Disease and Meningitis, National Institute for Communicable Diseases, Johannesburg, South Africa
| | - Eduardo Azziz-Baumgartner
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | | |
Collapse
|
12
|
Milucky J, Pondo T, Gregory CJ, Iuliano D, Chaves SS, McCracken J, Mansour A, Zhang Y, Aleem MA, Wolff B, Whitaker B, Whistler T, Onyango C, Lopez MR, Liu N, Rahman MZ, Shang N, Winchell J, Chittaganpitch M, Fields B, Maldonado H, Xie Z, Lindstrom S, Sturm-Ramirez K, Montgomery J, Wu KH, Van Beneden CA. The epidemiology and estimated etiology of pathogens detected from the upper respiratory tract of adults with severe acute respiratory infections in multiple countries, 2014-2015. PLoS One 2020; 15:e0240309. [PMID: 33075098 PMCID: PMC7571682 DOI: 10.1371/journal.pone.0240309] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 09/24/2020] [Indexed: 12/26/2022] Open
Abstract
INTRODUCTION Etiology studies of severe acute respiratory infections (SARI) in adults are limited. We studied potential etiologies of SARI among adults in six countries using multi-pathogen diagnostics. METHODS We enrolled both adults with SARI (acute respiratory illness onset with fever and cough requiring hospitalization) and asymptomatic adults (adults hospitalized with non-infectious illnesses, non-household members accompanying SARI patients, adults enrolled from outpatient departments, and community members) in each country. Demographics, clinical data, and nasopharyngeal and oropharyngeal specimens were collected from both SARI patients and asymptomatic adults. Specimens were tested for presence of 29 pathogens utilizing the Taqman® Array Card platform. We applied a non-parametric Bayesian regression extension of a partially latent class model approach to estimate proportions of SARI caused by specific pathogens. RESULTS We enrolled 2,388 SARI patients and 1,135 asymptomatic adults from October 2013 through October 2015. We detected ≥1 pathogen in 76% of SARI patients and 67% of asymptomatic adults. Haemophilus influenzae and Streptococcus pneumoniae were most commonly detected (≥23% of SARI patients and asymptomatic adults). Through modeling, etiology was attributed to a pathogen in most SARI patients (range among countries: 57.3-93.2%); pathogens commonly attributed to SARI etiology included influenza A (14.4-54.4%), influenza B (1.9-19.1%), rhino/enterovirus (1.8-42.6%), and RSV (3.6-14.6%). CONCLUSIONS Use of multi-pathogen diagnostics and modeling enabled attribution of etiology in most adult SARI patients, despite frequent detection of multiple pathogens in the upper respiratory tract. Seasonal flu vaccination and development of RSV vaccine would likely reduce the burden of SARI in these populations.
Collapse
Affiliation(s)
- Jennifer Milucky
- Division of Bacterial Diseases, Centers for Disease Control and Prevention, National Center for Immunization and Respiratory Diseases, Atlanta, Georgia, United States of America
| | - Tracy Pondo
- Division of Bacterial Diseases, Centers for Disease Control and Prevention, National Center for Immunization and Respiratory Diseases, Atlanta, Georgia, United States of America
| | - Christopher J. Gregory
- Division of Global Health Protection, Centers for Disease Control and Prevention, Thailand Ministry of Public Health, Thailand
| | - Danielle Iuliano
- Influenza Division, Centers for Disease Control and Prevention, National Center for Immunization and Respiratory Diseases, Atlanta, Georgia, United States of America
| | - Sandra S. Chaves
- Influenza Division, Centers for Disease Control and Prevention, National Center for Immunization and Respiratory Diseases, CDC Kenya Office, Kenya
| | - John McCracken
- Center for Health Studies, Universidad del Valle de Guatemala, Guatemala City, Guatemala
| | - Adel Mansour
- Division of Global Health Protection, Centers for Disease Control and Prevention, Egypt
| | - Yuzhi Zhang
- Division of Global Health Protection, Centers for Disease Control and Prevention, China
| | | | - Bernard Wolff
- Division of Bacterial Diseases, Centers for Disease Control and Prevention, National Center for Immunization and Respiratory Diseases, Atlanta, Georgia, United States of America
| | - Brett Whitaker
- Division of Viral Diseases, Centers for Disease Control and Prevention, National Center for Immunization and Respiratory Diseases, Atlanta, Georgia, United States of America
| | - Toni Whistler
- Division of Global Health Protection, Centers for Disease Control and Prevention, Thailand Ministry of Public Health, Thailand
| | - Clayton Onyango
- Kenya Medical Research Institute/Centers for Disease Control and Prevention Public Health Collaboration, Kisumu, Kenya
| | - Maria Renee Lopez
- Center for Health Studies, Universidad del Valle de Guatemala, Guatemala City, Guatemala
| | - Na Liu
- China Centers for Disease Control and Prevention, National Institute for Viral Disease, Beijing, China
| | | | - Nong Shang
- Division of Bacterial Diseases, Centers for Disease Control and Prevention, National Center for Immunization and Respiratory Diseases, Atlanta, Georgia, United States of America
| | - Jonas Winchell
- Division of Bacterial Diseases, Centers for Disease Control and Prevention, National Center for Immunization and Respiratory Diseases, Atlanta, Georgia, United States of America
| | | | - Barry Fields
- Division of Global Health Protection, Centers for Disease Control and Prevention, Kenya
| | - Herberth Maldonado
- Center for Health Studies, Universidad del Valle de Guatemala, Guatemala City, Guatemala
| | - Zhiping Xie
- China Centers for Disease Control and Prevention, National Institute for Viral Disease, Beijing, China
| | - Stephen Lindstrom
- Division of Viral Diseases, Centers for Disease Control and Prevention, National Center for Immunization and Respiratory Diseases, Atlanta, Georgia, United States of America
| | - Katherine Sturm-Ramirez
- Influenza Division, Centers for Disease Control and Prevention, National Center for Immunization and Respiratory Diseases, CDC Bangladesh Office, Bangladesh
| | - Joel Montgomery
- Division of Global Health Protection, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Kai-Hui Wu
- Influenza Division, Centers for Disease Control and Prevention, National Center for Immunization and Respiratory Diseases, CDC Bangladesh Office, Bangladesh
| | - Chris A. Van Beneden
- Division of Bacterial Diseases, Centers for Disease Control and Prevention, National Center for Immunization and Respiratory Diseases, Atlanta, Georgia, United States of America
| | | |
Collapse
|
13
|
Milucky JL, Compaore T, Obulbiga F, Cowman G, Whitney CG, Bicaba B. Estimating the catchment population and incidence of severe acute respiratory infections in a district hospital in Boussé, Burkina Faso. J Glob Health 2020; 10:010422. [PMID: 32426122 PMCID: PMC7211418 DOI: 10.7189/jogh.10.010422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
Abstract
Background The primary cause of death in Burkina Faso is lower respiratory tract infections, accounting for 1 in 7 deaths. The Ministry of Health is building surveillance for severe acute respiratory infections (SARI) in four districts. This study sought to determine the catchment area of the Boussé district hospital and to describe disease burden of individuals hospitalized for SARI. Methods Data were collected from hospital log books to identify individuals with a SARI diagnosis during 2015 and 2016. Residence of SARI patients was recorded to determine the catchment area of the hospital. Population data were used to estimate SARI incidence rates. Results Investigators reviewed logs for 3034 hospital admissions; 885 SARI cases were identified. Five communes were identified as the hospital catchment area, with 770 SARI patients residing in these communes. The SARI incidence rate (IR) for all ages was 136 (95% confidence interval (CI) = 115, 161) and 266 (95% CI = 236, 300) cases per 100 000 population for 2015 and 2016, respectively. Children <1 (RI = 1111 cases per 100 000, 95% CI = 1047, 1178, and RI = 2425 cases per 100 000, 95% CI = 2330, 2524) and adults ≥65 years old (RI = 377 cases per 100 000, 95% CI = 341, 417, and RI = 816 cases per 100 000, 95% CI = 762, 874) had the highest burden of disease for 2015 and 2016, respectively. Conclusion Our analysis found high rates of SARI, especially among children <1 year of age, and marked variation in incidence between the years studied. These baseline data and the method developed will be useful for the new SARI surveillance system.
Collapse
Affiliation(s)
- Jennifer L Milucky
- Centers for Disease Control and Prevention, National Center for Immunization and Respiratory Diseases, Division of Bacterial Diseases, Atlanta, Georgia, USA
| | - Toussaint Compaore
- Ministry of Health, Directorate for the Protection of Population Health, Ouagadougou, Burkina Faso
| | - Franck Obulbiga
- Ministry of Health, Directorate for the Protection of Population Health, Ouagadougou, Burkina Faso
| | - Gretchen Cowman
- Centers for Disease Control and Prevention, Center for Global Health, Ouagadougou, Burkina Faso
| | - Cynthia G Whitney
- Centers for Disease Control and Prevention, National Center for Immunization and Respiratory Diseases, Division of Bacterial Diseases, Atlanta, Georgia, USA
| | - Brice Bicaba
- Ministry of Health, Directorate for the Protection of Population Health, Ouagadougou, Burkina Faso
| |
Collapse
|
14
|
Tempia S, Walaza S, Moyes J, McMorrow ML, Cohen AL, Edoka I, Fraser H, Treurnicht FK, Hellferscee O, Wolter N, von Gottberg A, McAnerney JM, Dawood H, Variava E, Cohen C. Influenza disease burden among potential target risk groups for immunization in South Africa, 2013-2015. Vaccine 2020; 38:4288-4297. [PMID: 32389494 DOI: 10.1016/j.vaccine.2020.04.045] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2019] [Revised: 04/17/2020] [Accepted: 04/18/2020] [Indexed: 01/18/2023]
Abstract
BACKGROUND Data on influenza burden in risk groups for severe influenza are important to guide targeted influenza immunization, especially in resource limited settings. However, this information is limited overall and in particular in low- and middle-income countries. We sought to assess the mean annual national burden of medically and non-medically attended influenza-associated mild, severe-non-fatal and fatal illness among potential target groups for influenza immunization in South Africa during 2013-2015. METHODS We used published mean national annual estimates of mild, severe-non-fatal, and fatal influenza-associated illness in South Africa during 2013-2015 and estimated the number of such illnesses occurring among the following risk groups: (i) children aged 6-59 months; (ii) individuals aged 5-64 years with HIV, and/or pulmonary tuberculosis (PTB), and/or selected underlying medical conditions (UMC); (iii) pregnant women; and (iv) individuals aged ≥65 years. We also estimated the number of individuals among the same risk groups in the population. RESULTS During 2013-2015, individuals in the selected risk groups accounted for 45.3% (24,569,328/54,086,144) of the population and 43.5% (4,614,763/10,598,138), 86.8% (111,245/128,173) and 94.5% (10,903/11,536) of the mean annual estimated number of influenza-associated mild, severe-non-fatal and fatal illness episodes, respectively. The rates of influenza-associated illness were highest in children aged 6-59 months (23,983 per 100,000 population) for mild illness, in pregnant women (930 per 100,000 population) for severe-non-fatal illness and in individuals aged ≥65 years (138 per 100,000 population) for fatal illness. CONCLUSION Influenza immunization of the selected risk groups has the potential to prevent a substantial number of influenza-associated severe illness. Nonetheless, because of the high number of individuals at risk, South Africa, due to financial resources constrains, may need to further prioritize interventions among risk populations. Cost-burden and cost-effectiveness estimates may assist with further prioritization.
Collapse
Affiliation(s)
- Stefano Tempia
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, United States; Influenza Program, Centers for Disease Control and Prevention, Pretoria, South Africa; Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa; MassGenics, Duluth, GA, United States.
| | - Sibongile Walaza
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa; School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Jocelyn Moyes
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa; School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Meredith L McMorrow
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, United States; Influenza Program, Centers for Disease Control and Prevention, Pretoria, South Africa
| | - Adam L Cohen
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, United States; Department of Immunization, Vaccines and Biological, World Health Organization, Geneva, Switzerland
| | - Ijeoma Edoka
- South Africa Medical Research Council/Wits Centre for Health Economics and Decision Science, PRICELESS SA, University of Witwatersrand School of Public Health, Faculty of Health Sciences, Johannesburga South Africa
| | - Heather Fraser
- South Africa Medical Research Council/Wits Centre for Health Economics and Decision Science, PRICELESS SA, University of Witwatersrand School of Public Health, Faculty of Health Sciences, Johannesburga South Africa
| | - Florette K Treurnicht
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
| | - Orienka Hellferscee
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa; School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Nicole Wolter
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa; School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Anne von Gottberg
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa; School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Johanna M McAnerney
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
| | - Halima Dawood
- Department of Medicine, Pietermaritzburg Metropolitan Hospital, Pietermaritzburg, South Africa; Department of Medicine, University of KwaZulu-Natal, Pietermaritzburg, South Africa
| | - Ebrahim Variava
- Department of Medicine, Klerksdorp-Tshepong Hospital Complex, Klerksdorp, South Africa; Department of Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; Perinatal HIV Research Unit, University of the Witwatersrand, Johannesburg, South Africa
| | - Cheryl Cohen
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa; School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
| |
Collapse
|
15
|
Simusika P, Tempia S, Chentulo E, Polansky L, Mazaba ML, Ndumba I, Mbewe QK, Monze M. An evaluation of the Zambia influenza sentinel surveillance system, 2011-2017. BMC Health Serv Res 2020; 20:35. [PMID: 31931793 PMCID: PMC6958603 DOI: 10.1186/s12913-019-4884-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Accepted: 12/30/2019] [Indexed: 08/21/2023] Open
Abstract
Background Over the past decade, influenza surveillance has been established in several African countries including Zambia. However, information on the on data quality and reliability of established influenza surveillance systems in Africa are limited. Such information would enable countries to assess the performance of their surveillance systems, identify shortfalls for improvement and provide evidence of data reliability for policy making and public health interventions. Methods We used the Centers for Disease Control and Prevention guidelines to evaluate the performance of the influenza surveillance system (ISS) in Zambia during 2011–2017 using 9 attributes: (i) data quality and completeness, (ii) timeliness, (iii) representativeness, (iv) flexibility, (v) simplicity, (vi) acceptability, (vii) stability, (viii) utility, and (ix) sustainability. Each attribute was evaluated using pre-defined indicators. For each indicator we obtained the proportion (expressed as percentage) of the outcome of interest over the total. A scale from 1 to 3 was used to provide a score for each attribute as follows: < 60% (as obtained in the calculation above) scored 1 (weak performance); 60–79% scored 2 (moderate performance); ≥80% scored 3 (good performance). An overall score for each attribute and the ISS was obtained by averaging the scores of all evaluated attributes. Results The overall mean score for the ISS in Zambia was 2.6. Key strengths of the system were the quality of data generated (score: 2.9), its flexibility (score: 3.0) especially to monitor viral pathogens other than influenza viruses, its simplicity (score: 2.8), acceptability (score: 3.0) and stability (score: 2.6) over the review period and its relatively low cost ($310,000 per annum). Identified weaknesses related mainly to geographic representativeness (score: 2.0), timeliness (score: 2.5), especially in shipment of samples from remote sites, and sustainability (score: 1.0) in the absence of external funds. Conclusions The system performed moderately well in our evaluation. Key improvements would include improvements in the timeliness of samples shipments and geographical coverage. However, these improvements would result in increased cost and logistical complexity. The ISSS in Zambia is largely reliant on external funds and the acceptability of maintaining the surveillance system through national funds would require evaluation.
Collapse
Affiliation(s)
- Paul Simusika
- National Influenza Center, Virology Laboratory, University Teaching Hospital, Lusaka, Zambia.
| | - Stefano Tempia
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA.,Influenza Program, Centers for Disease Control and Prevention, Pretoria, South Africa.,MassGenics, Duluth, GA, USA
| | - Edward Chentulo
- National Influenza Center, Virology Laboratory, University Teaching Hospital, Lusaka, Zambia
| | - Lauren Polansky
- Influenza Program, Centers for Disease Control and Prevention, Pretoria, South Africa
| | - Mazyanga Lucy Mazaba
- National Influenza Center, Virology Laboratory, University Teaching Hospital, Lusaka, Zambia
| | - Idah Ndumba
- National Influenza Center, Virology Laboratory, University Teaching Hospital, Lusaka, Zambia
| | - Quinn K Mbewe
- National Influenza Center, Virology Laboratory, University Teaching Hospital, Lusaka, Zambia
| | - Mwaka Monze
- National Influenza Center, Virology Laboratory, University Teaching Hospital, Lusaka, Zambia.
| |
Collapse
|
16
|
Pebody R, Moyes J, Hirve S, Campbell H, Jackson S, Moen A, Nair H, Simões EAF, Smith PG, Wairagkar N, Zhang W. Approaches to use the WHO respiratory syncytial virus surveillance platform to estimate disease burden. Influenza Other Respir Viruses 2019; 14:615-621. [PMID: 31595655 PMCID: PMC7578280 DOI: 10.1111/irv.12667] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Revised: 06/11/2019] [Accepted: 06/14/2019] [Indexed: 12/01/2022] Open
Abstract
The World Health Organization (WHO) recently completed the first phase of a RSV surveillance pilot study in fourteen countries (two to three in each WHO region) building on the Global Influenza Surveillance and Response System (GISRS). This active surveillance strategy had several objectives including understanding RSV-related health burden in a variety of settings. A range of approaches can be used to estimate disease burden; most approaches could not be applied by participating countries in the WHO surveillance pilot. This article provides the recommendations made by WHO for strengthening and expanding the scope of the RSV surveillance in the next phase to enable burden estimation.
Collapse
Affiliation(s)
| | - Jocelyn Moyes
- Center for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases, Johannesburg, South Africa
| | | | - Harry Campbell
- Usher Institute of Population Health Research and Informatics, University of Edinburgh, Edinburgh, UK
| | - Sandra Jackson
- Global Influenza Program, World Health Organization, Geneva, Switzerland
| | - Ann Moen
- Global Influenza Program, World Health Organization, Geneva, Switzerland
| | - Harish Nair
- Usher Institute of Population Health Research and Informatics, University of Edinburgh, Edinburgh, UK
| | - Eric A F Simões
- Center for Global Health, Colorado School of Public Health, Aurora, CO, USA
| | - Peter G Smith
- MRC Tropical Epidemiology Group, London School of Hygiene and Tropical Medicine, London, UK
| | | | - Wenqing Zhang
- Global Influenza Program, World Health Organization, Geneva, Switzerland
| |
Collapse
|
17
|
Tempia S, Walaza S, Moyes J, Cohen AL, McMorrow ML, Treurnicht FK, Hellferscee O, Wolter N, von Gottberg A, Nguweneza A, McAnerney JM, Dawood H, Variava E, Madhi SA, Cohen C. Quantifying How Different Clinical Presentations, Levels of Severity, and Healthcare Attendance Shape the Burden of Influenza-associated Illness: A Modeling Study From South Africa. Clin Infect Dis 2019; 69:1036-1048. [PMID: 30508065 PMCID: PMC7804385 DOI: 10.1093/cid/ciy1017] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Accepted: 11/29/2018] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Burden estimates of medically and nonmedically attended influenza-associated illness across syndromes and levels of severity are lacking. METHODS We estimated the national burden of medically and nonmedically attended influenza-associated illness among individuals with different clinical presentations (all-respiratory, all-circulatory, and nonrespiratory/noncirculatory) and levels of severity (mild, fatal, and severe, nonfatal) using a combination of case-based (from laboratory-confirmed influenza surveillance) and ecological studies, as well as data from healthcare utilization surveys in South Africa during 2013-2015. In addition, we compared estimates of medically attended influenza-associated respiratory illness, obtained from case-based and ecological studies. Rates were reported per 100 000 individuals in the population. RESULTS The estimated mean annual number of influenza-associated illness episodes was 10 737 847 (19.8% of 54 096 705 inhabitants). Of these episodes, 10 598 138 (98.7%) were mild, 128 173 (1.2%) were severe, nonfatal, and 11 536 (0.1%) were fatal. There were 2 718 140 (25.6%) mild, 56 226 (43.9%) severe, nonfatal, and 4945 (42.8%) medically attended should be after fatal episodes. Influenza-associated respiratory illness accounted for 99.2% (10 576 146) of any mild, 65.5% (83 941) of any severe, nonfatal, and 33.7% (3893) of any fatal illnesses. Ecological and case-based estimates of medically attended, influenza-associated, respiratory mild (rates: ecological, 1778.8, vs case-based, 1703.3; difference, 4.4%), severe, nonfatal (rates: ecological, 88.6, vs case-based, 75.3; difference, 15.0%), and fatal (rates: ecological, 3.8, vs case-based, 3.5; difference, 8.4%) illnesses were similar. CONCLUSIONS There was a substantial burden of influenza-associated symptomatic illness, including severe, nonfatal and fatal illnesses, and a large proportion was nonmedically attended. Estimates, including only influenza-associated respiratory illness, substantially underestimated influenza-associated, severe, nonfatal and fatal illnesses. Ecological and case-based estimates were found to be similar for the compared categories.
Collapse
Affiliation(s)
- Stefano Tempia
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
- Influenza Program, Centers for Disease Control and Prevention, Pretoria
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
| | - Sibongile Walaza
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Jocelyn Moyes
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Adam L Cohen
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
- Global Immunization Monitoring and Surveillance Team, Expanded Programme on Immunization, Department of Immunization, Vaccines and Biological, World Health Organization, Geneva, Switzerland
| | - Meredith L McMorrow
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
- Influenza Program, Centers for Disease Control and Prevention, Pretoria
| | - Florette K Treurnicht
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
- School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Orienka Hellferscee
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
- School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Nicole Wolter
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
- School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Anne von Gottberg
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
- School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Arthemon Nguweneza
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
| | - Johanna M McAnerney
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
| | - Halima Dawood
- Department of Medicine, Pietermaritzburg Metropolitan Hospital, South Africa
- Caprisa, University of KwaZulu-Natal, Pietermaritzburg, South Africa
| | - Ebrahim Variava
- Department of Medicine, Klerksdorp-Tshepong Hospital Complex, South Africa
- Department of Medicine, Faculty of Health Sciences, South Africa
- Perinatal Human Immunodeficiency Virus Research Unit, South Africa
| | - Shabir A Madhi
- Medical Research Council, Respiratory and Meningeal Pathogens Research Unit, South Africa
- Department of Science and Technology/National Research Foundation: Vaccine Preventable Diseases, University of the Witwatersrand, Johannesburg, South Africa
| | - Cheryl Cohen
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| |
Collapse
|
18
|
Emukule GO, Namagambo B, Owor N, Bakamutumaho B, Kayiwa JT, Namulondo J, Byaruhanga T, Tempia S, Chaves SS, Lutwama JJ. Influenza-associated pneumonia hospitalizations in Uganda, 2013-2016. PLoS One 2019; 14:e0219012. [PMID: 31306466 PMCID: PMC6629074 DOI: 10.1371/journal.pone.0219012] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Accepted: 06/13/2019] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Influenza is an important contributor to acute respiratory illness, including pneumonia, and results in substantial morbidity and mortality globally. Understanding the local burden of influenza-associated severe disease can inform decisions on allocation of resources toward influenza control programs. Currently, there is no national influenza vaccination program in Uganda. METHODS In this study, we used data on pneumonia hospitalizations that were collected and reported through the Health Management Information System (HMIS) of the Ministry of Health, Uganda, and the laboratory-confirmed influenza positivity data from severe acute respiratory illness (SARI) surveillance in three districts (Wakiso, Mbarara, and Tororo) to estimate the age-specific incidence of influenza-associated pneumonia hospitalizations from January 2013 through December 2016. RESULTS The overall estimated mean annual rate of pneumonia hospitalizations in the three districts was 371 (95% confidence interval [CI] 323-434) per 100,000 persons, and was highest among children aged <5 years (1,524 [95% CI 1,286-1,849]) compared to persons aged ≥5 years (123 [95% CI 105-144]) per 100,000 persons. The estimated mean annual rate of influenza-associated pneumonia hospitalization was 34 (95% CI 23-48) per 100,000 persons (116 [95% CI 78-165] and 16 [95% CI 6-28] per 100,000 persons among children aged <5 years and those ≥5 years, respectively). Among children aged <5 years, the rate of hospitalized influenza-associated pneumonia was highest among those who were <2 years old (178 [95% CI 109-265] per 100,000 persons). Over the period of analysis, the estimated mean annual number of hospitalized influenza-associated pneumonia cases in the three districts ranged between 672 and 1,436, of which over 70% represent children aged <5 years. CONCLUSIONS The burden of influenza-associated pneumonia hospitalizations was substantial in Uganda, and was highest among young children aged <5 years. Influenza vaccination may be considered, especially for very young children.
Collapse
Affiliation(s)
- Gideon O. Emukule
- Centers for Disease Control and Prevention, Kenya Country Office, Nairobi, Kenya
| | - Barbara Namagambo
- Uganda Virus Research Institute, National Influenza Centre (UVRI-NIC), Entebbe, Uganda
| | - Nicholas Owor
- Uganda Virus Research Institute, National Influenza Centre (UVRI-NIC), Entebbe, Uganda
| | - Barnabas Bakamutumaho
- Uganda Virus Research Institute, National Influenza Centre (UVRI-NIC), Entebbe, Uganda
| | - John T. Kayiwa
- Uganda Virus Research Institute, National Influenza Centre (UVRI-NIC), Entebbe, Uganda
| | - Joyce Namulondo
- Uganda Virus Research Institute, National Influenza Centre (UVRI-NIC), Entebbe, Uganda
| | - Timothy Byaruhanga
- Uganda Virus Research Institute, National Influenza Centre (UVRI-NIC), Entebbe, Uganda
| | - Stefano Tempia
- Influenza Program, Centers for Disease Control and Prevention, Pretoria, South Africa
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
| | - Sandra S. Chaves
- Centers for Disease Control and Prevention, Kenya Country Office, Nairobi, Kenya
- Influenza Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Julius J. Lutwama
- Uganda Virus Research Institute, National Influenza Centre (UVRI-NIC), Entebbe, Uganda
| |
Collapse
|
19
|
Yu J, Zhang X, Shan W, Gao J, Hua J, Tian J, Ding Y, Zhang J, Chen L, Song Y, Zhou S, Iuliano AD, Greene CM, Zhang T, Zhao G. Influenza-associated Hospitalization in Children Younger Than 5 Years of Age in Suzhou, China, 2011-2016. Pediatr Infect Dis J 2019; 38:445-452. [PMID: 30153228 PMCID: PMC6501799 DOI: 10.1097/inf.0000000000002178] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Studying the burden and risk factors associated with severe illness from influenza infection in young children in eastern China will contribute to future cost-effectiveness analyses of local influenza vaccine programs. METHODS We conducted prospective, severe acute respiratory infection (SARI) surveillance at Suzhou University-Affiliated Children's Hospital to estimate influenza-associated hospitalizations in Suzhou University-Affiliated Children's Hospital by month in children younger than 5 years of age from October 2011 to September 2016. SARI was defined as fever (measured axillary temperature ≥ 38°C) and cough or sore throat or inflamed/red pharynx in the 7 days preceding hospitalization. We combined SARI surveillance data with healthcare utilization survey data to estimate and characterize the burden of influenza-associated SARI hospitalizations in Suzhou within this age group in the 5-year period. RESULTS Of the 36,313 SARI cases identified, 2,297 from respiratory wards were systematically sampled; of these, 259 (11%) were influenza positive. Estimated annual influenza-associated SARI hospitalization rates per 1,000 children younger than 5 years of age ranged from 4 (95% confidence interval [CI], 2-5) in the 2012-2013 season to 16 (95% CI, 14-19) in the 2011-2012 season. The predominant viruses were A/H3N2 (59%) in 2011-12, both A/H1N1pdm09 (42%) and B (46%) in 2012-13, A/H3N2 (71%) in 2013-14, A/H3N2 (55%) in 2014-15 and both A/H1N1pdm09 (50%) and B (50%) in 2015-16. The age-specific influenza-associated SARI hospitalization rates for the 5-year period were 11 (95% CI, 8-15) per 1,000 children 0-5 months of age; 8 (95% CI, 7-10) per 1,000 children 6-23 months of age and 5 (95% CI, 4-5) per 1,000 children 24-59 months of age, respectively. CONCLUSIONS From 2011 to 2016, influenza-associated SARI hospitalization rates in children aged younger than 5 years of age in Suzhou, China, were high, particularly among children 0-5 months of age. Higher hospitalization rates were observed in years where the predominant circulating virus was influenza A/H3N2. Immunization for children > 6 months, and maternal and caregiver immunization for those < 6 months, could reduce influenza-associated hospitalizations in young children in Suzhou.
Collapse
Affiliation(s)
- Jia Yu
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Xiyan Zhang
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Wei Shan
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Junmei Gao
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Jun Hua
- Suzhou University Affiliated Children’s Hospital, Suzhou, China
| | - Jianmei Tian
- Suzhou University Affiliated Children’s Hospital, Suzhou, China
| | - Yunfang Ding
- Suzhou University Affiliated Children’s Hospital, Suzhou, China
| | - Jun Zhang
- Suzhou Center for Disease Prevention and Control, Suzhou, China
| | - Liling Chen
- Suzhou Center for Disease Prevention and Control, Suzhou, China
| | - Ying Song
- Centers for Disease Control and Prevention, Atlanta, GA
| | - Suizan Zhou
- Centers for Disease Control and Prevention, Atlanta, GA
| | | | | | - Tao Zhang
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Genming Zhao
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| |
Collapse
|
20
|
Rabarison JH, Tempia S, Harimanana A, Guillebaud J, Razanajatovo NH, Ratsitorahina M, Heraud JM. Burden and epidemiology of influenza- and respiratory syncytial virus-associated severe acute respiratory illness hospitalization in Madagascar, 2011-2016. Influenza Other Respir Viruses 2018; 13:138-147. [PMID: 30596225 PMCID: PMC6379640 DOI: 10.1111/irv.12557] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/07/2018] [Indexed: 12/01/2022] Open
Abstract
Background Influenza and respiratory syncytial virus (RSV) infections are responsible for substantial global morbidity and mortality in young children and elderly individuals. Estimates of the burden of influenza‐ and RSV‐associated hospitalization are limited in Africa. Methods We conducted hospital‐based surveillance for laboratory‐confirmed influenza‐ and RSV‐associated severe acute respiratory illness (SARI) among patients of any age at one hospital and a retrospective review of SARI hospitalizations in five hospitals situated in Antananarivo during 2011‐2016. We estimated age‐specific rates (per 100 000 population) of influenza‐ and RSV‐associated SARI hospitalizations for the Antananarivo region and then extrapolated these rates to the national level. Results Overall, the mean annual national number of influenza‐associated SARI hospitalizations for all age groups was 6609 (95% CI: 5381‐7835‐rate: 30.0; 95% CI: 24.4‐35.6), 4468 (95% CI: 3796‐5102‐rate: 127.6; 95% CI: 108.4‐145.7), 2141 (95% CI: 1585‐2734‐rate: 11.6; 95% CI: 8.6‐14.8), and 339 (95% CI: 224‐459‐rate: 50.0; 95% CI: 36.3‐74.4) among individuals aged <5, ≥5, and ≥65 years, respectively. For these same age groups, the mean annual number of RSV‐associated SARI hospitalizations was 11 768 (95% CI: 10 553‐12 997‐rate: 53.4; 95% CI: 47.9‐59.0), 11 299 (95% CI: 10 350‐12 214‐rate: 322.7; 95% CI: 295.6‐348.8), 469 (95% CI: 203‐783‐rate: 2.5;95% CI: 1.1‐4.2), and 36 (95% CI: 0‐84‐rate: 5.8; 0.0‐13.5), respectively. Conclusion The burden of influenza‐ and RSV‐associated SARI hospitalization was high among children aged <5 years. These first estimates for Madagascar will enable government to make informed evidence‐based decisions when allocating scarce resources and planning intervention strategies to limit the impact and spread of these viruses.
Collapse
Affiliation(s)
| | - Stefano Tempia
- Influenza Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia.,Centers for Disease Control and Prevention-South Africa, Pretoria, South Africa.,Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases, Johannesburg, South Africa
| | - Aina Harimanana
- Epidemiology Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar
| | - Julia Guillebaud
- National Influenza Centre, Virology Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar
| | - Norosoa H Razanajatovo
- National Influenza Centre, Virology Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar
| | - Maherisoa Ratsitorahina
- Direction de la Veille Sanitaire et de la Surveillance Epidemiologique, Ministry of Public Health, Antananarivo, Madagascar
| | - Jean-Michel Heraud
- National Influenza Centre, Virology Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar
| |
Collapse
|
21
|
Dawa J, Chaves SS, Ba Nguz A, Kalani R, Anyango E, Mutie D, Muthoka P, Tabu C, Maritim M, Amukoye E, Were F. Developing a seasonal influenza vaccine recommendation in Kenya: Process and challenges faced by the National Immunization Technical Advisory Group (NITAG). Vaccine 2018; 37:464-472. [PMID: 30502070 DOI: 10.1016/j.vaccine.2018.11.062] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Revised: 11/19/2018] [Accepted: 11/20/2018] [Indexed: 10/27/2022]
Abstract
BACKGROUND In 2014 the Kenya National Immunization Technical Advisory Group (KENITAG) was asked by the Ministry of Health to provide an evidence-based recommendation on whether the seasonal influenza vaccine should be introduced into the national immunization program (NIP). METHODS We reviewed KENITAG manuals, reports and meeting minutes generated between June 2014 and June 2016 in order to describe the process KENITAG used in arriving at that recommendation and the challenges encountered. RESULTS KENITAG developed a recommendation framework to identify critical, important and non-critical data elements that would guide deliberations on the subject. Literature searches were conducted in several databases and the quality of scientific articles obtained was assessed using the Critical Appraisal Skills Programme tool. There were significant gaps in knowledge on the national burden of influenza disease among key risk groups, i.e., pregnant women, individuals with co-morbidities, the elderly and health care workers. Insufficient funding and limited work force hindered KENITAG activities. In 2016 KENITAG recommended introduction of the annual seasonal influenza vaccine among children 6 to 23 months of age. However, the recommendation was contingent on implementation of a pilot study to address gaps in local data on the socio-economic impact of influenza vaccination programs, strategies for vaccine delivery, and the impact of the vaccination program on the healthcare workforce and existing immunization program. KENITAG did not recommend the influenza vaccine for any other risk group due to lack of local burden of disease data. CONCLUSION Local data are a critical element in NITAG deliberations, however, where local data and in particular burden of disease data are lacking, there is need to adopt scientifically acceptable methods of utilizing findings from other countries to inform local decisions in a manner that is valid and acceptable to decision makers.
Collapse
Affiliation(s)
- Jeanette Dawa
- Supporting Independent Immunization and Vaccine Advisory Committees (SIVAC) Initiative, Agency for Preventive Medicine (AMP), Paris, France.
| | - Sandra S Chaves
- Centers for Disease Control and Prevention, Nairobi, Kenya; Influenza Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, GA, USA.
| | - Antoinette Ba Nguz
- Supporting Independent Immunization and Vaccine Advisory Committees (SIVAC) Initiative, Agency for Preventive Medicine (AMP), Paris, France
| | - Rosalia Kalani
- Disease Surveillance and Response Unit, Ministry of Health, Kenya; Kenya National Immunization Technical Advisory Group (KENITAG), Nairobi, Kenya
| | - Edwina Anyango
- Kenya National Immunization Technical Advisory Group (KENITAG), Nairobi, Kenya; National Vaccines Immunization Programme, Ministry of Health, Kenya
| | - Dominic Mutie
- Kenya National Immunization Technical Advisory Group (KENITAG), Nairobi, Kenya; National Vaccines Immunization Programme, Ministry of Health, Kenya
| | - Phillip Muthoka
- Kenya National Immunization Technical Advisory Group (KENITAG), Nairobi, Kenya; National Vaccines Immunization Programme, Ministry of Health, Kenya
| | - Collins Tabu
- Kenya National Immunization Technical Advisory Group (KENITAG), Nairobi, Kenya; National Vaccines Immunization Programme, Ministry of Health, Kenya
| | - Marybeth Maritim
- Kenya National Immunization Technical Advisory Group (KENITAG), Nairobi, Kenya
| | - Evans Amukoye
- Kenya National Immunization Technical Advisory Group (KENITAG), Nairobi, Kenya
| | - Fred Were
- Kenya National Immunization Technical Advisory Group (KENITAG), Nairobi, Kenya
| | | |
Collapse
|
22
|
National burden of influenza-associated hospitalizations in Cambodia, 2015 and 2016. Western Pac Surveill Response J 2018; 9:44-52. [PMID: 31832253 PMCID: PMC6902650 DOI: 10.5365/wpsar.2018.9.5.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Introduction The burden of influenza in Cambodia is not well known, but it would be useful for understanding the impact of seasonal epidemics and pandemics and to design appropriate policies for influenza prevention and control. The severe acute respiratory infection (SARI) surveillance system in Cambodia was used to estimate the national burden of SARI hospitalizations in Cambodia. Methods We estimated age-specific influenza-associated SARI hospitalization rates in three sentinel sites in Svay Rieng, Siem Reap and Kampong Cham provinces. We used influenza-associated SARI surveillance data for one year to estimate the numerator and hospital admission surveys to estimate the population denominator for each site. A national influenza-associated SARI hospitalization rate was calculated using the pooled influenza-associated SARI hospitalizations for all sites as a numerator and the pooled catchment population of all sites as denominator. National influenza-associated SARI case counts were estimated by applying hospitalization rates to the national population. Results The national annual rates of influenza-associated hospitalizations per 100 000 population was highest for the two youngest age groups at 323 for < 1 year and 196 for 1–4 years. We estimated 7547 influenza-associated hospitalizations for Cambodia with almost half of these represented by children younger than 5 years. Discussion We present national estimates of influenza-associated SARI hospitalization rates for Cambodia based on sentinel surveillance data from three sites. The results of this study indicate that the highest burden of severe influenza infection is borne by the younger age groups. These findings can be used to guide future strategies to reduce influenza morbidity.
Collapse
|
23
|
Babakazo P, Lubula L, Disasuani W, Manya LK, Nkwembe E, Mitongo N, Kavunga-Membo H, Changachanga JC, Muhemedi S, Ilunga BK, Wemakoy EO, Tamfum JJM, Kabamba-Tshilobo J, Tempia S. The national and provincial burden of medically attended influenza-associated influenza-like illness and severe acute respiratory illness in the Democratic Republic of Congo, 2013-2015. Influenza Other Respir Viruses 2018; 12:695-705. [PMID: 30120818 PMCID: PMC6185889 DOI: 10.1111/irv.12601] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Revised: 08/01/2018] [Accepted: 08/08/2018] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Estimates of influenza-associated outpatient consultations and hospitalizations are severely limited in low- and middle-income countries, especially in Africa. METHODS We conducted active prospective surveillance for influenza-like illness (ILI) and severe acute respiratory illness (SARI) at 5 healthcare facilities situated in Kinshasa Province during 2013-2015. We tested upper respiratory tract samples for influenza viruses using a reverse transcription-polymerase chain reaction assay. We estimated age-specific numbers and rates of influenza-associated ILI outpatient consultations and SARI hospitalizations for Kinshasa Province using a combination of administrative and influenza surveillance data. These estimates were extrapolated to each of the remaining 10 provinces accounting for provincial differences in prevalence of risk factors for pneumonia and healthcare-seeking behavior. Rates were reported per 100 000 population. RESULTS During 2013-2015, the mean annual national number of influenza-associated ILI outpatient consultations was 1 003 212 (95% Confidence Incidence [CI]: 719 335-1 338 050 - Rate: 1205.3; 95% CI: 864.2-1607.5); 199 839 (95% CI: 153 563-254 759 - Rate: 1464.0; 95% CI: 1125.0-1866.3) among children aged <5 years and 803 374 (95% CI: 567 772-1 083 291 - Rate: 1154.5; 95% CI: 813.1-1556.8) among individuals aged ≥5 years. The mean annual national number of influenza-associated SARI hospitalizations was 40 361 (95% CI: 24 014-60 514 - Rate: 48.5; 95% CI: 28.9-72.7); 25 452 (95% CI: 19 146-32 944 - Rate: 186.5; 95% CI: 140.3-241.3) among children aged <5 years and 14 909 (95% CI: 4868-27 570 - Rate: 21.4; 95% CI: 28.9-72.7) among individuals aged ≥5 years. CONCLUSIONS The burden of influenza-associated ILI outpatient consultations and SARI hospitalizations was substantial and was highest among hospitalized children aged <5 years.
Collapse
Affiliation(s)
- Pélagie Babakazo
- Kinshasa School of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of Congo
| | - Léopold Lubula
- Division de Lutte Contre la Maladie, Ministry of Health, Kinshasa, Democratic Republic of Congo
| | - Wally Disasuani
- Kinshasa School of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of Congo
| | - Léonie Kitoko Manya
- Division de Lutte Contre la Maladie, Ministry of Health, Kinshasa, Democratic Republic of Congo
| | - Edith Nkwembe
- Institut National de Recherche Biomédicale, Ministry of Health, Kinshasa, Democratic Republic of Congo
| | - Naomi Mitongo
- Institut National de Recherche Biomédicale, Ministry of Health, Kinshasa, Democratic Republic of Congo
| | - Hugo Kavunga-Membo
- Institut National de Recherche Biomédicale, Ministry of Health, Kinshasa, Democratic Republic of Congo
| | - Jean-Claude Changachanga
- Institut National de Recherche Biomédicale, Ministry of Health, Kinshasa, Democratic Republic of Congo
| | - Saleh Muhemedi
- Kinshasa School of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of Congo
| | - Benoit Kebela Ilunga
- Division de Lutte Contre la Maladie, Ministry of Health, Kinshasa, Democratic Republic of Congo
| | - Emile Okitolonda Wemakoy
- Kinshasa School of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of Congo
| | | | - Joelle Kabamba-Tshilobo
- Influenza and Monkeypox Program, Centers for Disease Control and Prevention, Kinshasa, Democratic Republic of Congo
| | - Stefano Tempia
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia.,Influenza Program, Centers for Disease Control and Prevention, Pretoria, South Africa.,Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.,MassGenics, Duluth, Georgia
| |
Collapse
|
24
|
Ahmed M, Roguski K, Tempia S, Iuliano AD. Reply to Alonso et al. "Bangladesh and Rwanda: Cases of high burden of influenza in tropical countries?". Influenza Other Respir Viruses 2018; 12:669-671. [PMID: 29858873 PMCID: PMC6086846 DOI: 10.1111/irv.12576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Affiliation(s)
- Makhdum Ahmed
- International Centre for Diarrheal Disease Research, Dhaka, Bangladesh.,Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Katherine Roguski
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Stefano Tempia
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Angela D Iuliano
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| |
Collapse
|
25
|
Lee VJ, Ho ZJM, Goh EH, Campbell H, Cohen C, Cozza V, Fitzner J, Jara J, Krishnan A, Bresee J. Advances in measuring influenza burden of disease. Influenza Other Respir Viruses 2018; 12:3-9. [PMID: 29460425 PMCID: PMC5818353 DOI: 10.1111/irv.12533] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/13/2017] [Indexed: 12/16/2022] Open
Affiliation(s)
- Vernon J. Lee
- Ministry of HealthSingaporeSingapore
- Saw Swee Hock School of Public HealthNational University of SingaporeSingaporeSingapore
| | | | | | - Harry Campbell
- Centre for Global Health ResearchUsher Institute of Population Health SciencesUniversity of EdinburghEdinburghUK
| | - Cheryl Cohen
- Division of the National Laboratory ServiceCentre for Respiratory Diseases and MeningitisNational Institute for Communicable DiseasesJohannesburgSouth Africa
- Wits School of Public HealthUniversity of the WitwatersrandJohannesburgSouth Africa
| | - Vanessa Cozza
- Global Influenza ProgrammeWorld Health OrganizationGenevaSwitzerland
| | - Julia Fitzner
- Global Influenza ProgrammeWorld Health OrganizationGenevaSwitzerland
| | - Jorge Jara
- Center for Health Studies, Research InstituteUniversidad del Valle de GuatemalaGuatemala CityGuatemala
| | - Anand Krishnan
- Centre for Community MedicineAll India Institute of Medical SciencesNew DelhiIndia
| | - Joseph Bresee
- Influenza DivisionCenters for Disease Control and PreventionAtlantaGAUSA
| | | |
Collapse
|