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Moturi AK, Jalang'o R, Cherono A, Muchiri SK, Snow RW, Okiro EA. Malaria vaccine coverage estimation using age-eligible populations and service user denominators in Kenya. Malar J 2023; 22:287. [PMID: 37759277 PMCID: PMC10523632 DOI: 10.1186/s12936-023-04721-0] [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: 07/07/2023] [Accepted: 09/21/2023] [Indexed: 09/29/2023] Open
Abstract
BACKGROUND The World Health Organization approved the RTS,S/AS01 malaria vaccine for wider rollout, and Kenya participated in a phased pilot implementation from 2019 to understand its impact under routine conditions. Vaccine delivery requires coverage measures at national and sub-national levels to evaluate progress over time. This study aimed to estimate the coverage of the RTS,S/AS01 vaccine during the first 36 months of the Kenyan pilot implementation. METHODS Monthly dose-specific immunization data for 23 sub-counties were obtained from routine health information systems at the facility level for 2019-2022. Coverage of each RTS,S/AS01 dose was determined using reported doses as a numerator and service-based (Penta 1 and Measles) or population (projected infant populations from WorldPop) as denominators. Descriptive statistics of vaccine delivery, dropout rates and coverage estimates were computed across the 36-month implementation period. RESULTS Over 36 months, 818,648 RTSS/AS01 doses were administered. Facilities managed by the Ministry of Health and faith-based organizations accounted for over 88% of all vaccines delivered. Overall, service-based malaria vaccine coverage was 96%, 87%, 78%, and 39% for doses 1-4 respectively. Using a population-derived denominator for age-eligible children, vaccine coverage was 78%, 68%, 57%, and 24% for doses 1-4, respectively. Of the children that received measles dose 1 vaccines delivered at 9 months (coverage: 95%), 82% received RTSS/AS01 dose 3, only 66% of children who received measles dose 2 at 18 months (coverage: 59%) also received dose 4. CONCLUSION The implementation programme successfully maintained high levels of coverage for the first three doses of RTSS/AS01 among children defined as EPI service users up to 9 months of age but had much lower coverage within the community with up to 1 in 5 children not receiving the vaccine. Consistent with vaccines delivered over the age of 1 year, coverage of the fourth malaria dose was low. Vaccine uptake, service access and dropout rates for malaria vaccines require constant monitoring and intervention to ensure maximum protection is conferred.
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Affiliation(s)
- Angela K Moturi
- Population & Health Impact Surveillance Group, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
| | - Rose Jalang'o
- National Vaccines & Immunization Programme, Ministry of Health, Nairobi, Kenya
| | - Anitah Cherono
- Population & Health Impact Surveillance Group, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
| | - Samuel K Muchiri
- Population & Health Impact Surveillance Group, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
| | - Robert W Snow
- Population & Health Impact Surveillance Group, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Emelda A Okiro
- Population & Health Impact Surveillance Group, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
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Mwinnyaa G, Peters MA, Shapira G, Neill R, Sadat H, Yuma S, Akilimali P, Hossain S, Wendrad N, Atiwoto WK, Ofosu AA, Alfred JP, Kiarie H, Wesseh CS, Isokpunwu C, Kangbai DM, Mohamed AA, Sidibe K, Drouard S, Fernandez PA, Azais V, Hashemi T, Hansen PM, Ahmed T. Vaccination Utilization and Subnational Inequities during the COVID-19 Pandemic: An Interrupted Time-Series Analysis of Administrative Data across 12 Low- and Middle-Income Countries. Vaccines (Basel) 2023; 11:1415. [PMID: 37766092 PMCID: PMC10536121 DOI: 10.3390/vaccines11091415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 03/31/2023] [Accepted: 08/17/2023] [Indexed: 09/29/2023] Open
Abstract
BACKGROUND During and after the SARS-CoV-2 (COVID-19) pandemic, many countries experienced declines in immunization that have not fully recovered to pre-pandemic levels. This study uses routine health facility immunization data to estimate variability between and within countries in post-pandemic immunization service recovery for BCG, DPT1, and DPT3. METHODS After adjusting for data reporting completeness and outliers, interrupted time series regression was used to estimate the expected immunization service volume for each subnational unit, using an interruption point of March 2020. We assessed and compared the percent deviation of observed immunizations from the expected service volume for March 2020 between and within countries. RESULTS Six countries experienced significant service volume declines for at least one vaccine as of October 2022. The shortfall in BCG service volume was ~6% (95% CI -1.2%, -9.8%) in Guinea and ~19% (95% CI -16%, 22%) in Liberia. Significant cumulative shortfalls in DPT1 service volume are observed in Afghanistan (-4%, 95% CI -1%, -7%), Ghana (-3%, 95% CI -1%, -5%), Haiti (-7%, 95% CI -1%, -12%), and Kenya (-3%, 95% CI -1%, -4%). Afghanistan has the highest percentage of subnational units reporting a shortfall of 5% or higher in DPT1 service volume (85% in 2021 Q1 and 79% in 2020 Q4), followed by Bangladesh (2020 Q1, 83%), Haiti (80% in 2020 Q2), and Ghana (2022 Q2, 75%). All subnational units in Bangladesh experienced a 5% or higher shortfall in DPT3 service volume in the second quarter of 2020. In Haiti, 80% of the subnational units experienced a 5% or higher reduction in DPT3 service volume in the second quarter of 2020 and the third quarter of 2022. CONCLUSIONS At least one region in every country has a significantly lower-than-expected post-pandemic cumulative volume for at least one of the three vaccines. Subnational monitoring of immunization service volumes using disaggregated routine health facility information data should be conducted routinely to target the limited vaccination resources to subnational units with the highest inequities.
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Affiliation(s)
- George Mwinnyaa
- The Global Financing Facility for Women, Children, and Adolescents, Washington, DC 1818, USA
| | | | - Gil Shapira
- The World Bank, Washington, DC 20433, USA (G.S.)
| | - Rachel Neill
- The Global Financing Facility for Women, Children, and Adolescents, Washington, DC 1818, USA
| | - Husnia Sadat
- The Global Financing Facility for Women, Children, and Adolescents, Washington, DC 1818, USA
| | - Sylvain Yuma
- Ministe’re de la Sante, Kinshasa 4310, Democratic Republic of the Congo
| | - Pierre Akilimali
- Kinshasa School of Public Health, University of Kinshasa, Kinshasa P.O. Box 11850, Democratic Republic of the Congo
| | | | | | | | | | - Jean Patrick Alfred
- Ministère de la Sante Publique et de la Population, Port-au-Prince HT6123, Haiti
| | - Helen Kiarie
- Ministry of Health, Nairobi P.O. Box 30016-00100, Kenya
| | | | | | | | | | - Kadidja Sidibe
- The Global Financing Facility for Women, Children, and Adolescents, Washington, DC 1818, USA
| | | | | | - Viviane Azais
- The Global Financing Facility for Women, Children, and Adolescents, Washington, DC 1818, USA
| | - Tawab Hashemi
- The Global Financing Facility for Women, Children, and Adolescents, Washington, DC 1818, USA
| | - Peter M. Hansen
- The Global Financing Facility for Women, Children, and Adolescents, Washington, DC 1818, USA
| | - Tashrik Ahmed
- The Global Financing Facility for Women, Children, and Adolescents, Washington, DC 1818, USA
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Janneh M, Qu C, Zhang Y, Xing X, Nkwazema O, Nyihirani F, Qi S. Distribution, sources, and ecological risk assessment of polycyclic aromatic hydrocarbons in agricultural and dumpsite soils in Sierra Leone. RSC Adv 2023; 13:7102-7116. [PMID: 36875876 PMCID: PMC9977409 DOI: 10.1039/d2ra07955k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 01/27/2023] [Indexed: 03/06/2023] Open
Abstract
This study investigates the concentration and distribution of polycyclic aromatic hydrocarbons (PAHs) in soils, potential sources, risk assessment, and soil physicochemical properties influencing PAH distribution in developed and remote cities in Sierra Leone. Seventeen topsoil samples (0-20 cm) were collected and analyzed for 16 PAHs. The average concentrations of Σ16PAH in soils in the surveyed areas were 1142 ng g-1 dw, 265 ng g-1 dw, 79.7 ng g-1 dw, 54.3 ng g-1 dw, 54.2 ng g-1 dw, 52.3 ng g-1 dw, and 36.6 ng g-1 dw in Kingtom, Waterloo, Magburaka, Bonganema, Kabala, Sinikoro, and Makeni, respectively. Based on the European soil quality guidelines, Kingtom and Waterloo soils were categorized as heavily and weakly contaminated soil PAHs respectively. The main PAH compounds of this study were 2-ring, 4-ring, and 5-ring PAHs. High molecular weight PAHs (4-6 rings) made up 62.5% of the total PAHs, while low molecular weight PAHs (2-3 rings) was 37.5%. In general, HMWPAHs were predominant in Kingtom, followed by Waterloo. The appointment of PAH sources using different methods revealed mixed sources, but predominantly pyrogenic sources (petroleum, biomass, coal, and fossil fuel contributions). Soil pH has a significant impact on PAH distribution. The toxicity equivalent quantity (TEQBaP) levels in soils pose a potential health risk to residents in developed cities but pose a negligible health risk to residents in remote cities. This study is significant as its findings reveal the status of PAH soil contamination in Sierra Leone. The results have important implications for policymakers and stakeholders to identify high-risk zones and establish proper environmental monitoring programs, pollution control measures, and remediation strategies to prevent future risks.
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Affiliation(s)
- Mariama Janneh
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences Wuhan 430074 China +86-138-8602-8263.,School of Environmental Studies, China University of Geosciences Wuhan 430074 China.,Chemistry Department, School of Environmental Sciences, Njala University of Sierra Leone Moyamba District Sierra Leone 787247
| | - Chengkai Qu
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences Wuhan 430074 China +86-138-8602-8263
| | - Yuan Zhang
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences Wuhan 430074 China +86-138-8602-8263
| | - Xinli Xing
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences Wuhan 430074 China +86-138-8602-8263.,School of Environmental Studies, China University of Geosciences Wuhan 430074 China
| | - Oscar Nkwazema
- School of Management Science and Engineering, China University of Geosciences Wuhan 430074 China
| | - Fatuma Nyihirani
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences Wuhan 430074 China +86-138-8602-8263.,School of Environmental Studies, China University of Geosciences Wuhan 430074 China
| | - Shihua Qi
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences Wuhan 430074 China +86-138-8602-8263.,School of Environmental Studies, China University of Geosciences Wuhan 430074 China
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Amouzou A, Maïga A, Faye CM, Chakwera S, Melesse DY, Mutua MK, Thiam S, Abdoulaye IB, Afagbedzi SK, Ag Iknane A, Ake-Tano OS, Akinyemi JO, Alegana V, Alhassan Y, Sam AE, Atweam DK, Bajaria S, Bawo L, Berthé M, Blanchard AK, Bouhari HA, Boulhassane OMA, Bulawayo M, Chooye O, Coulibaly A, Diabate M, Diawara F, Esleman O, Gajaa M, Garba KHA, Getachew T, Jacobs C, Jacobs GP, James F, Jegede AS, Joachim C, Kananura RM, Karimi J, Kiarie H, Kpebo D, Lankoandé B, Lawanson AO, Mahamadou Y, Mahundi M, Manaye T, Masanja H, Millogo MR, Mohamed AK, Musukuma M, Muthee R, Nabié D, Nyamhagata M, Ogwal J, Orimadegun A, Ovuoraye A, Pongathie AS, Sable SP, Saydee GS, Shabini J, Sikapande BM, Simba D, Tadele A, Tadlle T, Tarway-Twalla AK, Tassembedo M, Tehoungue BZ, Terera I, Traoré S, Twalla MP, Waiswa P, Wondirad N, Boerma T. Health service utilisation during the COVID-19 pandemic in sub-Saharan Africa in 2020: a multicountry empirical assessment with a focus on maternal, newborn and child health services. BMJ Glob Health 2022; 7:bmjgh-2021-008069. [PMID: 35501068 PMCID: PMC9062456 DOI: 10.1136/bmjgh-2021-008069] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 03/04/2022] [Indexed: 02/04/2023] Open
Abstract
INTRODUCTION There are concerns about the impact of the COVID-19 pandemic on the continuation of essential health services in sub-Saharan Africa. Through the Countdown to 2030 for Women's, Children's and Adolescents' Health country collaborations, analysts from country and global public health institutions and ministries of health assessed the trends in selected services for maternal, newborn and child health, general service utilisation. METHODS Monthly routine health facility data by district for the period 2017-2020 were compiled by 12 country teams and adjusted after extensive quality assessments. Mixed effects linear regressions were used to estimate the size of any change in service utilisation for each month from March to December 2020 and for the whole COVID-19 period in 2020. RESULTS The completeness of reporting of health facilities was high in 2020 (median of 12 countries, 96% national and 91% of districts ≥90%), higher than in the preceding years and extreme outliers were few. The country median reduction in utilisation of nine health services for the whole period March-December 2020 was 3.9% (range: -8.2 to 2.4). The greatest reductions were observed for inpatient admissions (median=-17.0%) and outpatient admissions (median=-7.1%), while antenatal, delivery care and immunisation services generally had smaller reductions (median from -2% to -6%). Eastern African countries had greater reductions than those in West Africa, and rural districts were slightly more affected than urban districts. The greatest drop in services was observed for March-June 2020 for general services, when the response was strongest as measured by a stringency index. CONCLUSION The district health facility reports provide a solid basis for trend assessment after extensive data quality assessment and adjustment. Even the modest negative impact on service utilisation observed in most countries will require major efforts, supported by the international partners, to maintain progress towards the SDG health targets by 2030.
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Affiliation(s)
- Agbessi Amouzou
- Department of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Abdoulaye Maïga
- Department of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Cheikh Mbacké Faye
- African Population Health Research Centre, Dakar, Senegal.,School of Public Health, University of Witwatersrand, Johannesburg, Gauteng, South Africa
| | | | - Dessalegn Y Melesse
- Community Health Science, University of Manitoba, Winnipeg, Manitoba, Canada
| | | | - Sokhna Thiam
- African Population Health Research Centre, Dakar, Senegal
| | | | | | | | | | | | - Victor Alegana
- School of Geography and Environmental Sciences, University of Southampton, Southampton, UK.,Kenya Medical Research Institute, Nairobi, Kenya
| | - Yakubu Alhassan
- University of Ghana School of Public Health, Accra, Greater Accra, Ghana
| | | | | | - Shraddha Bajaria
- Ifakara Health Institute, Ifakara, Morogoro, Tanzania, United Republic of
| | - Luke Bawo
- Ministry of Health, Monrovia, Montserrado, Liberia
| | | | | | | | | | - Maio Bulawayo
- Department of Health Policy and Management, University of Zambia, Lusaka, Zambia
| | | | - Amed Coulibaly
- Institut National de Santé Publique, Abidjan, Côte d'Ivoire
| | - Mamatou Diabate
- Ministère de la Santé et de l'Hygiène Publique du Mali, Bamako, Mali
| | | | | | - Mulugeta Gajaa
- Health System and Reproductive Health Research Directorate, Ethiopian Public Health Institute, Addis Ababa, Oromia, Ethiopia
| | | | - Theodros Getachew
- Health System and Reproductive Health Research Directorate, Ethiopian Public Health Institute, Addis Ababa, Oromia, Ethiopia.,College of Medicine and Health Science, Institute of Public Health, University of Gondar College of Medicine and Health Sciences, Gondar, Ethiopia
| | - Choolwe Jacobs
- Epidemiology and Biostatistics, University of Zambia, Lusaka, Zambia
| | | | | | | | | | | | | | | | - Denise Kpebo
- Institut National de Santé Publique, Abidjan, Côte d'Ivoire
| | - Bruno Lankoandé
- Institut Superieur des Sciences de la Population, Ouagadougou, Centre, Burkina Faso
| | | | | | - Masoud Mahundi
- University of Dar es Salaam, Dar es Salaam, Tanzania, United Republic of
| | | | - Honorati Masanja
- Ifakara Health Institute, Ifakara, Morogoro, Tanzania, United Republic of
| | | | | | - Mwiche Musukuma
- University of Zambia School of Public Health, Lusaka, Zambia
| | | | - Douba Nabié
- Université Joseph Ki-Zerbo, Ouagadougou, Burkina Faso
| | | | | | - Adebola Orimadegun
- Institute of Child Health, College of Medicine, University of Ibadan, Ibadan, Oyo State, Nigeria
| | | | | | | | | | - Josephine Shabini
- Bagamoyo Research and Training Centre, Ifakara Health Institute, Bagamayo, Tanzania, United Republic of
| | | | - Daudi Simba
- Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania, United Republic of
| | - Ashenif Tadele
- Health System and Reproductive Health Research Directorate, Ethiopian Public Health Institute, Addis Ababa, Oromia, Ethiopia
| | - Tefera Tadlle
- Health System and Reproductive Health Research Directorate, Ethiopian Public Health Institute, Addis Ababa, Oromia, Ethiopia
| | | | | | | | | | | | - Musu P Twalla
- University of Liberia, Monrovia, Montserrado, Liberia
| | - Peter Waiswa
- School of Public Health, Makerere University, Kampala, Uganda
| | - Naod Wondirad
- Federal Ministry of Health, Addis Ababa, Ethiopia.,Clinical Services Directorate, Ethiopia Ministry of Health, Addis Ababa, Lideta, Ethiopia
| | - Ties Boerma
- Community Health Science, University of Manitoba, Winnipeg, Manitoba, Canada
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