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Modeling of malaria vaccine effectiveness on disease burden and drug resistance in 42 African countries
BACKGROUND: The emergence of antimalarial drug resistance poses a major threat to effective malaria treatment and control. This study aims to inform policymakers and vaccine developers on the potential of an effective malaria vaccine in reducing drug-resistant infections. METHODS: A compartmental mo...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10576074/ https://www.ncbi.nlm.nih.gov/pubmed/37833540 http://dx.doi.org/10.1038/s43856-023-00373-y |
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author | Hamilton, Alisa Haghpanah, Fardad Hasso-Agopsowicz, Mateusz Frost, Isabel Lin, Gary Schueller, Emily Klein, Eili Laxminarayan, Ramanan |
author_facet | Hamilton, Alisa Haghpanah, Fardad Hasso-Agopsowicz, Mateusz Frost, Isabel Lin, Gary Schueller, Emily Klein, Eili Laxminarayan, Ramanan |
author_sort | Hamilton, Alisa |
collection | PubMed |
description | BACKGROUND: The emergence of antimalarial drug resistance poses a major threat to effective malaria treatment and control. This study aims to inform policymakers and vaccine developers on the potential of an effective malaria vaccine in reducing drug-resistant infections. METHODS: A compartmental model estimating cases, drug-resistant cases, and deaths averted from 2021 to 2030 with a vaccine against Plasmodium falciparum infection administered yearly to 1-year-olds in 42 African countries. Three vaccine efficacy (VE) scenarios and one scenario of rapidly increasing drug resistance are modeled. RESULTS: When VE is constant at 40% for 4 years and then drops to 0%, 235.7 (Uncertainty Interval [UI] 187.8–305.9) cases per 1000 children, 0.6 (UI 0.4–1.0) resistant cases per 1000, and 0.6 (UI 0.5–0.9) deaths per 1000 are averted. When VE begins at 80% and drops 20 percentage points each year, 313.9 (UI 249.8–406.6) cases per 1000, 0.9 (UI 0.6–1.3) resistant cases per 1000, and 0.9 (UI 0.6–1.2) deaths per 1000 are averted. When VE remains 40% for 10 years, 384.7 (UI 311.7–496.5) cases per 1000, 1.0 (0.7–1.6) resistant cases per 1000, and 1.1 (UI 0.8–1.5) deaths per 1000 are averted. Assuming an effective vaccine and an increase in current levels of drug resistance to 80% by 2030, 10.4 (UI 7.3–15.8) resistant cases per 1000 children are averted. CONCLUSIONS: Widespread deployment of a malaria vaccine could substantially reduce health burden in Africa. Maintaining VE longer may be more impactful than a higher initial VE that falls rapidly. |
format | Online Article Text |
id | pubmed-10576074 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105760742023-10-15 Modeling of malaria vaccine effectiveness on disease burden and drug resistance in 42 African countries Hamilton, Alisa Haghpanah, Fardad Hasso-Agopsowicz, Mateusz Frost, Isabel Lin, Gary Schueller, Emily Klein, Eili Laxminarayan, Ramanan Commun Med (Lond) Article BACKGROUND: The emergence of antimalarial drug resistance poses a major threat to effective malaria treatment and control. This study aims to inform policymakers and vaccine developers on the potential of an effective malaria vaccine in reducing drug-resistant infections. METHODS: A compartmental model estimating cases, drug-resistant cases, and deaths averted from 2021 to 2030 with a vaccine against Plasmodium falciparum infection administered yearly to 1-year-olds in 42 African countries. Three vaccine efficacy (VE) scenarios and one scenario of rapidly increasing drug resistance are modeled. RESULTS: When VE is constant at 40% for 4 years and then drops to 0%, 235.7 (Uncertainty Interval [UI] 187.8–305.9) cases per 1000 children, 0.6 (UI 0.4–1.0) resistant cases per 1000, and 0.6 (UI 0.5–0.9) deaths per 1000 are averted. When VE begins at 80% and drops 20 percentage points each year, 313.9 (UI 249.8–406.6) cases per 1000, 0.9 (UI 0.6–1.3) resistant cases per 1000, and 0.9 (UI 0.6–1.2) deaths per 1000 are averted. When VE remains 40% for 10 years, 384.7 (UI 311.7–496.5) cases per 1000, 1.0 (0.7–1.6) resistant cases per 1000, and 1.1 (UI 0.8–1.5) deaths per 1000 are averted. Assuming an effective vaccine and an increase in current levels of drug resistance to 80% by 2030, 10.4 (UI 7.3–15.8) resistant cases per 1000 children are averted. CONCLUSIONS: Widespread deployment of a malaria vaccine could substantially reduce health burden in Africa. Maintaining VE longer may be more impactful than a higher initial VE that falls rapidly. Nature Publishing Group UK 2023-10-13 /pmc/articles/PMC10576074/ /pubmed/37833540 http://dx.doi.org/10.1038/s43856-023-00373-y 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/) . |
spellingShingle | Article Hamilton, Alisa Haghpanah, Fardad Hasso-Agopsowicz, Mateusz Frost, Isabel Lin, Gary Schueller, Emily Klein, Eili Laxminarayan, Ramanan Modeling of malaria vaccine effectiveness on disease burden and drug resistance in 42 African countries |
title | Modeling of malaria vaccine effectiveness on disease burden and drug resistance in 42 African countries |
title_full | Modeling of malaria vaccine effectiveness on disease burden and drug resistance in 42 African countries |
title_fullStr | Modeling of malaria vaccine effectiveness on disease burden and drug resistance in 42 African countries |
title_full_unstemmed | Modeling of malaria vaccine effectiveness on disease burden and drug resistance in 42 African countries |
title_short | Modeling of malaria vaccine effectiveness on disease burden and drug resistance in 42 African countries |
title_sort | modeling of malaria vaccine effectiveness on disease burden and drug resistance in 42 african countries |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10576074/ https://www.ncbi.nlm.nih.gov/pubmed/37833540 http://dx.doi.org/10.1038/s43856-023-00373-y |
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