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A mathematical model of the impact of present and future malaria vaccines

BACKGROUND: With the encouraging advent of new malaria vaccine candidates, mathematical modelling of expected impacts of present and future vaccines as part of multi-intervention strategies is especially relevant. METHODS: The impact of potential malaria vaccines is presented utilizing the EMOD mode...

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Autores principales: Wenger, Edward A, Eckhoff, Philip A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3658952/
https://www.ncbi.nlm.nih.gov/pubmed/23587051
http://dx.doi.org/10.1186/1475-2875-12-126
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author Wenger, Edward A
Eckhoff, Philip A
author_facet Wenger, Edward A
Eckhoff, Philip A
author_sort Wenger, Edward A
collection PubMed
description BACKGROUND: With the encouraging advent of new malaria vaccine candidates, mathematical modelling of expected impacts of present and future vaccines as part of multi-intervention strategies is especially relevant. METHODS: The impact of potential malaria vaccines is presented utilizing the EMOD model, a comprehensive model of the vector life cycle coupled to a detailed mechanistic representation of intra-host parasite and immune dynamics. Values of baseline transmission and vector feeding behaviour parameters are identified, for which local elimination is enabled by layering pre-erythrocytic vaccines of various efficacies on top of high and sustained insecticide-treated net coverage. The expected reduction in clinical cases is further explored in a scenario that targets children by adding a pre-erythrocytic vaccine to the EPI programme for newborns. RESULTS: At high transmission, there is a minimal reduction in clinical disease cases, as the time to infection is only slightly delayed. At lower transmission, there is an accelerating community-level protection that has subtle dependences on heterogeneities in vector behaviour, ecology, and intervention coverage. At very low transmission, the trend reverses as many children are vaccinated to prevent few cases. CONCLUSIONS: The maximum-impact setting is one in which the impact of increasing bed net coverage has saturated, vector feeding is primarily outdoors, and transmission is just above the threshold where small perturbations from a vaccine intervention result in large community benefits.
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spelling pubmed-36589522013-05-21 A mathematical model of the impact of present and future malaria vaccines Wenger, Edward A Eckhoff, Philip A Malar J Research BACKGROUND: With the encouraging advent of new malaria vaccine candidates, mathematical modelling of expected impacts of present and future vaccines as part of multi-intervention strategies is especially relevant. METHODS: The impact of potential malaria vaccines is presented utilizing the EMOD model, a comprehensive model of the vector life cycle coupled to a detailed mechanistic representation of intra-host parasite and immune dynamics. Values of baseline transmission and vector feeding behaviour parameters are identified, for which local elimination is enabled by layering pre-erythrocytic vaccines of various efficacies on top of high and sustained insecticide-treated net coverage. The expected reduction in clinical cases is further explored in a scenario that targets children by adding a pre-erythrocytic vaccine to the EPI programme for newborns. RESULTS: At high transmission, there is a minimal reduction in clinical disease cases, as the time to infection is only slightly delayed. At lower transmission, there is an accelerating community-level protection that has subtle dependences on heterogeneities in vector behaviour, ecology, and intervention coverage. At very low transmission, the trend reverses as many children are vaccinated to prevent few cases. CONCLUSIONS: The maximum-impact setting is one in which the impact of increasing bed net coverage has saturated, vector feeding is primarily outdoors, and transmission is just above the threshold where small perturbations from a vaccine intervention result in large community benefits. BioMed Central 2013-04-15 /pmc/articles/PMC3658952/ /pubmed/23587051 http://dx.doi.org/10.1186/1475-2875-12-126 Text en Copyright © 2013 Wenger and Eckhoff; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Wenger, Edward A
Eckhoff, Philip A
A mathematical model of the impact of present and future malaria vaccines
title A mathematical model of the impact of present and future malaria vaccines
title_full A mathematical model of the impact of present and future malaria vaccines
title_fullStr A mathematical model of the impact of present and future malaria vaccines
title_full_unstemmed A mathematical model of the impact of present and future malaria vaccines
title_short A mathematical model of the impact of present and future malaria vaccines
title_sort mathematical model of the impact of present and future malaria vaccines
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3658952/
https://www.ncbi.nlm.nih.gov/pubmed/23587051
http://dx.doi.org/10.1186/1475-2875-12-126
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