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Modelling the persistence of mosquito vectors of malaria in Burkina Faso
BACKGROUND: Populations of the Anopheles gambiae complex are found during the rainy season throughout West Africa, even in arid areas with long dry seasons during which mosquitoes appear to be absent. Several hypotheses have been proposed to explain this apparent paradox, including aestivation, disp...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5879775/ https://www.ncbi.nlm.nih.gov/pubmed/29609598 http://dx.doi.org/10.1186/s12936-018-2288-3 |
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author | North, Ace R. Godfray, H. Charles J. |
author_facet | North, Ace R. Godfray, H. Charles J. |
author_sort | North, Ace R. |
collection | PubMed |
description | BACKGROUND: Populations of the Anopheles gambiae complex are found during the rainy season throughout West Africa, even in arid areas with long dry seasons during which mosquitoes appear to be absent. Several hypotheses have been proposed to explain this apparent paradox, including aestivation, dispersal between neighbouring settlements, and long distance migration using high-altitude wind currents. METHODS: An individual-based, spatially explicit model of mosquito populations was developed for a region of West Africa centred on, and including all of, Burkina Faso. Populations associated with human settlements were linked by dispersal and the model incorporated geospatial data on the distribution of settlements, water bodies and rainfall. RESULTS: Local dispersal (at rates consistent with experimental data) was necessary to explain observed patterns of rainy season populations across all of the simulation area, but by itself failed to account for the presence of populations in the arid North (the Sahel). The presence of rare dry-season larval sites could explain these northern populations, but seems inconsistent with field surveys. Aestivation by female mosquitoes explained rainy-season populations in all but the very sparsest and driest areas of human habitation, while long-distance migration based on annual wind patterns could account for all observed populations. CONCLUSIONS: Modelling studies such as this can help assess the potential validity of different hypotheses and suggest priority areas for experimental study. In particular, the results highlight a shortage of empirical research on mosquito dispersal between neighbouring settlements, which may be critically important to the continued presence of many mosquito populations in West Africa. Further research that establishes the extent to which mosquitoes aestivate, and migrate using high altitude winds, is also much needed to understand Sahelian mosquito populations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12936-018-2288-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5879775 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-58797752018-04-04 Modelling the persistence of mosquito vectors of malaria in Burkina Faso North, Ace R. Godfray, H. Charles J. Malar J Research BACKGROUND: Populations of the Anopheles gambiae complex are found during the rainy season throughout West Africa, even in arid areas with long dry seasons during which mosquitoes appear to be absent. Several hypotheses have been proposed to explain this apparent paradox, including aestivation, dispersal between neighbouring settlements, and long distance migration using high-altitude wind currents. METHODS: An individual-based, spatially explicit model of mosquito populations was developed for a region of West Africa centred on, and including all of, Burkina Faso. Populations associated with human settlements were linked by dispersal and the model incorporated geospatial data on the distribution of settlements, water bodies and rainfall. RESULTS: Local dispersal (at rates consistent with experimental data) was necessary to explain observed patterns of rainy season populations across all of the simulation area, but by itself failed to account for the presence of populations in the arid North (the Sahel). The presence of rare dry-season larval sites could explain these northern populations, but seems inconsistent with field surveys. Aestivation by female mosquitoes explained rainy-season populations in all but the very sparsest and driest areas of human habitation, while long-distance migration based on annual wind patterns could account for all observed populations. CONCLUSIONS: Modelling studies such as this can help assess the potential validity of different hypotheses and suggest priority areas for experimental study. In particular, the results highlight a shortage of empirical research on mosquito dispersal between neighbouring settlements, which may be critically important to the continued presence of many mosquito populations in West Africa. Further research that establishes the extent to which mosquitoes aestivate, and migrate using high altitude winds, is also much needed to understand Sahelian mosquito populations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12936-018-2288-3) contains supplementary material, which is available to authorized users. BioMed Central 2018-04-02 /pmc/articles/PMC5879775/ /pubmed/29609598 http://dx.doi.org/10.1186/s12936-018-2288-3 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 North, Ace R. Godfray, H. Charles J. Modelling the persistence of mosquito vectors of malaria in Burkina Faso |
title | Modelling the persistence of mosquito vectors of malaria in Burkina Faso |
title_full | Modelling the persistence of mosquito vectors of malaria in Burkina Faso |
title_fullStr | Modelling the persistence of mosquito vectors of malaria in Burkina Faso |
title_full_unstemmed | Modelling the persistence of mosquito vectors of malaria in Burkina Faso |
title_short | Modelling the persistence of mosquito vectors of malaria in Burkina Faso |
title_sort | modelling the persistence of mosquito vectors of malaria in burkina faso |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5879775/ https://www.ncbi.nlm.nih.gov/pubmed/29609598 http://dx.doi.org/10.1186/s12936-018-2288-3 |
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