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The importance of temperature fluctuations in understanding mosquito population dynamics and malaria risk
Temperature is a key environmental driver of Anopheles mosquito population dynamics; understanding its central role is important for these malaria vectors. Mosquito population responses to temperature fluctuations, though important across the life history, are poorly understood at a population level...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society Publishing
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5383843/ https://www.ncbi.nlm.nih.gov/pubmed/28405386 http://dx.doi.org/10.1098/rsos.160969 |
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author | Beck-Johnson, Lindsay M. Nelson, William A. Paaijmans, Krijn P. Read, Andrew F. Thomas, Matthew B. Bjørnstad, Ottar N. |
author_facet | Beck-Johnson, Lindsay M. Nelson, William A. Paaijmans, Krijn P. Read, Andrew F. Thomas, Matthew B. Bjørnstad, Ottar N. |
author_sort | Beck-Johnson, Lindsay M. |
collection | PubMed |
description | Temperature is a key environmental driver of Anopheles mosquito population dynamics; understanding its central role is important for these malaria vectors. Mosquito population responses to temperature fluctuations, though important across the life history, are poorly understood at a population level. We used stage-structured, temperature-dependent delay-differential equations to conduct a detailed exploration of the impacts of diurnal and annual temperature fluctuations on mosquito population dynamics. The model allows exploration of temperature-driven temporal changes in adult age structure, giving insights into the population’s capacity to vector malaria parasites. Because of temperature-dependent shifts in age structure, the abundance of potentially infectious mosquitoes varies temporally, and does not necessarily mirror the dynamics of the total adult population. In addition to conducting the first comprehensive theoretical exploration of fluctuating temperatures on mosquito population dynamics, we analysed observed temperatures at four locations in Africa covering a range of environmental conditions. We found both temperature and precipitation are needed to explain the observed malaria season in these locations, enhancing our understanding of the drivers of malaria seasonality and how temporal disease risk may shift in response to temperature changes. This approach, tracking both mosquito abundance and age structure, may be a powerful tool for understanding current and future malaria risk. |
format | Online Article Text |
id | pubmed-5383843 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | The Royal Society Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-53838432017-04-12 The importance of temperature fluctuations in understanding mosquito population dynamics and malaria risk Beck-Johnson, Lindsay M. Nelson, William A. Paaijmans, Krijn P. Read, Andrew F. Thomas, Matthew B. Bjørnstad, Ottar N. R Soc Open Sci Biology (Whole Organism) Temperature is a key environmental driver of Anopheles mosquito population dynamics; understanding its central role is important for these malaria vectors. Mosquito population responses to temperature fluctuations, though important across the life history, are poorly understood at a population level. We used stage-structured, temperature-dependent delay-differential equations to conduct a detailed exploration of the impacts of diurnal and annual temperature fluctuations on mosquito population dynamics. The model allows exploration of temperature-driven temporal changes in adult age structure, giving insights into the population’s capacity to vector malaria parasites. Because of temperature-dependent shifts in age structure, the abundance of potentially infectious mosquitoes varies temporally, and does not necessarily mirror the dynamics of the total adult population. In addition to conducting the first comprehensive theoretical exploration of fluctuating temperatures on mosquito population dynamics, we analysed observed temperatures at four locations in Africa covering a range of environmental conditions. We found both temperature and precipitation are needed to explain the observed malaria season in these locations, enhancing our understanding of the drivers of malaria seasonality and how temporal disease risk may shift in response to temperature changes. This approach, tracking both mosquito abundance and age structure, may be a powerful tool for understanding current and future malaria risk. The Royal Society Publishing 2017-03-08 /pmc/articles/PMC5383843/ /pubmed/28405386 http://dx.doi.org/10.1098/rsos.160969 Text en © 2017 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Biology (Whole Organism) Beck-Johnson, Lindsay M. Nelson, William A. Paaijmans, Krijn P. Read, Andrew F. Thomas, Matthew B. Bjørnstad, Ottar N. The importance of temperature fluctuations in understanding mosquito population dynamics and malaria risk |
title | The importance of temperature fluctuations in understanding mosquito population dynamics and malaria risk |
title_full | The importance of temperature fluctuations in understanding mosquito population dynamics and malaria risk |
title_fullStr | The importance of temperature fluctuations in understanding mosquito population dynamics and malaria risk |
title_full_unstemmed | The importance of temperature fluctuations in understanding mosquito population dynamics and malaria risk |
title_short | The importance of temperature fluctuations in understanding mosquito population dynamics and malaria risk |
title_sort | importance of temperature fluctuations in understanding mosquito population dynamics and malaria risk |
topic | Biology (Whole Organism) |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5383843/ https://www.ncbi.nlm.nih.gov/pubmed/28405386 http://dx.doi.org/10.1098/rsos.160969 |
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