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Malaria vaccine coverage estimation using age-eligible populations and service user denominators in Kenya

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...

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Autores principales: Moturi, Angela K., Jalang’o, Rose, Cherono, Anitah, Muchiri, Samuel K., Snow, Robert W., Okiro, Emelda A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10523632/
https://www.ncbi.nlm.nih.gov/pubmed/37759277
http://dx.doi.org/10.1186/s12936-023-04721-0
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author Moturi, Angela K.
Jalang’o, Rose
Cherono, Anitah
Muchiri, Samuel K.
Snow, Robert W.
Okiro, Emelda A.
author_facet Moturi, Angela K.
Jalang’o, Rose
Cherono, Anitah
Muchiri, Samuel K.
Snow, Robert W.
Okiro, Emelda A.
author_sort Moturi, Angela K.
collection PubMed
description 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12936-023-04721-0.
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spelling pubmed-105236322023-09-28 Malaria vaccine coverage estimation using age-eligible populations and service user denominators in Kenya Moturi, Angela K. Jalang’o, Rose Cherono, Anitah Muchiri, Samuel K. Snow, Robert W. Okiro, Emelda A. Malar J Research 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12936-023-04721-0. BioMed Central 2023-09-27 /pmc/articles/PMC10523632/ /pubmed/37759277 http://dx.doi.org/10.1186/s12936-023-04721-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Moturi, Angela K.
Jalang’o, Rose
Cherono, Anitah
Muchiri, Samuel K.
Snow, Robert W.
Okiro, Emelda A.
Malaria vaccine coverage estimation using age-eligible populations and service user denominators in Kenya
title Malaria vaccine coverage estimation using age-eligible populations and service user denominators in Kenya
title_full Malaria vaccine coverage estimation using age-eligible populations and service user denominators in Kenya
title_fullStr Malaria vaccine coverage estimation using age-eligible populations and service user denominators in Kenya
title_full_unstemmed Malaria vaccine coverage estimation using age-eligible populations and service user denominators in Kenya
title_short Malaria vaccine coverage estimation using age-eligible populations and service user denominators in Kenya
title_sort malaria vaccine coverage estimation using age-eligible populations and service user denominators in kenya
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10523632/
https://www.ncbi.nlm.nih.gov/pubmed/37759277
http://dx.doi.org/10.1186/s12936-023-04721-0
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