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Simulation models predict that school-age children are responsible for most human-to-mosquito Plasmodium falciparum transmission in southern Malawi

BACKGROUND: Malaria persists in some high-transmission areas despite extensive control efforts. Progress toward elimination may require effective targeting of specific human populations that act as key transmission reservoirs. METHODS: Parameterized using molecular-based Plasmodium falciparum infect...

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Autores principales: Coalson, Jenna E., Cohee, Lauren M., Buchwald, Andrea G., Nyambalo, Andrew, Kubale, John, Seydel, Karl B., Mathanga, Don, Taylor, Terrie E., Laufer, Miriam K., Wilson, Mark L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5883608/
https://www.ncbi.nlm.nih.gov/pubmed/29615044
http://dx.doi.org/10.1186/s12936-018-2295-4
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author Coalson, Jenna E.
Cohee, Lauren M.
Buchwald, Andrea G.
Nyambalo, Andrew
Kubale, John
Seydel, Karl B.
Mathanga, Don
Taylor, Terrie E.
Laufer, Miriam K.
Wilson, Mark L.
author_facet Coalson, Jenna E.
Cohee, Lauren M.
Buchwald, Andrea G.
Nyambalo, Andrew
Kubale, John
Seydel, Karl B.
Mathanga, Don
Taylor, Terrie E.
Laufer, Miriam K.
Wilson, Mark L.
author_sort Coalson, Jenna E.
collection PubMed
description BACKGROUND: Malaria persists in some high-transmission areas despite extensive control efforts. Progress toward elimination may require effective targeting of specific human populations that act as key transmission reservoirs. METHODS: Parameterized using molecular-based Plasmodium falciparum infection data from cross-sectional community studies in southern Malawi, a simulation model was developed to predict the proportions of human-to-mosquito transmission arising from (a) children under 5 years old (U5s), (b) school-age children (SAC, 5–15 years), (c) young adults (16–30 years), and (d) adults > 30 years. The model incorporates mosquito biting heterogeneity and differential infectivity (i.e. probability that a blood-fed mosquito develops oocysts) by age and gametocyte density. RESULTS: The model predicted that SAC were responsible for more than 60% of new mosquito infections in both dry and rainy seasons, even though they comprise only 30% of this southern Malawi population. Young adults were the second largest contributors, while U5s and adults over 30 were each responsible for < 10% of transmission. While the specific predicted values are sensitive to the relative infectiousness of SAC, this group remained the most important contributor to mosquito infections under all realistic estimates. CONCLUSIONS: These results suggest that U5 children play a small role compared to SAC in maintaining P. falciparum transmission in southern Malawi. Models that assume biting homogeneity overestimate the importance of U5s. To reduce transmission, interventions will need to reach more SAC and young adults. This publicly available model can be used by others to estimate age-specific transmission contributions in epidemiologically similar sites with local parameter estimates of P. falciparum prevalence and bed net use. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12936-018-2295-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-58836082018-04-09 Simulation models predict that school-age children are responsible for most human-to-mosquito Plasmodium falciparum transmission in southern Malawi Coalson, Jenna E. Cohee, Lauren M. Buchwald, Andrea G. Nyambalo, Andrew Kubale, John Seydel, Karl B. Mathanga, Don Taylor, Terrie E. Laufer, Miriam K. Wilson, Mark L. Malar J Research BACKGROUND: Malaria persists in some high-transmission areas despite extensive control efforts. Progress toward elimination may require effective targeting of specific human populations that act as key transmission reservoirs. METHODS: Parameterized using molecular-based Plasmodium falciparum infection data from cross-sectional community studies in southern Malawi, a simulation model was developed to predict the proportions of human-to-mosquito transmission arising from (a) children under 5 years old (U5s), (b) school-age children (SAC, 5–15 years), (c) young adults (16–30 years), and (d) adults > 30 years. The model incorporates mosquito biting heterogeneity and differential infectivity (i.e. probability that a blood-fed mosquito develops oocysts) by age and gametocyte density. RESULTS: The model predicted that SAC were responsible for more than 60% of new mosquito infections in both dry and rainy seasons, even though they comprise only 30% of this southern Malawi population. Young adults were the second largest contributors, while U5s and adults over 30 were each responsible for < 10% of transmission. While the specific predicted values are sensitive to the relative infectiousness of SAC, this group remained the most important contributor to mosquito infections under all realistic estimates. CONCLUSIONS: These results suggest that U5 children play a small role compared to SAC in maintaining P. falciparum transmission in southern Malawi. Models that assume biting homogeneity overestimate the importance of U5s. To reduce transmission, interventions will need to reach more SAC and young adults. This publicly available model can be used by others to estimate age-specific transmission contributions in epidemiologically similar sites with local parameter estimates of P. falciparum prevalence and bed net use. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12936-018-2295-4) contains supplementary material, which is available to authorized users. BioMed Central 2018-04-03 /pmc/articles/PMC5883608/ /pubmed/29615044 http://dx.doi.org/10.1186/s12936-018-2295-4 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Coalson, Jenna E.
Cohee, Lauren M.
Buchwald, Andrea G.
Nyambalo, Andrew
Kubale, John
Seydel, Karl B.
Mathanga, Don
Taylor, Terrie E.
Laufer, Miriam K.
Wilson, Mark L.
Simulation models predict that school-age children are responsible for most human-to-mosquito Plasmodium falciparum transmission in southern Malawi
title Simulation models predict that school-age children are responsible for most human-to-mosquito Plasmodium falciparum transmission in southern Malawi
title_full Simulation models predict that school-age children are responsible for most human-to-mosquito Plasmodium falciparum transmission in southern Malawi
title_fullStr Simulation models predict that school-age children are responsible for most human-to-mosquito Plasmodium falciparum transmission in southern Malawi
title_full_unstemmed Simulation models predict that school-age children are responsible for most human-to-mosquito Plasmodium falciparum transmission in southern Malawi
title_short Simulation models predict that school-age children are responsible for most human-to-mosquito Plasmodium falciparum transmission in southern Malawi
title_sort simulation models predict that school-age children are responsible for most human-to-mosquito plasmodium falciparum transmission in southern malawi
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5883608/
https://www.ncbi.nlm.nih.gov/pubmed/29615044
http://dx.doi.org/10.1186/s12936-018-2295-4
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