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Fine-scale modelling finds that breeding site fragmentation can reduce mosquito population persistence

Fine-scale geographic variation in the transmission intensity of mosquito-borne diseases is primarily caused by variation in the density of female adult mosquitoes. Therefore, an understanding of fine-scale mosquito population dynamics is critical to understanding spatial heterogeneity in disease tr...

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Detalles Bibliográficos
Autores principales: McCormack, Clare P., Ghani, Azra C., Ferguson, Neil M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6658551/
https://www.ncbi.nlm.nih.gov/pubmed/31372512
http://dx.doi.org/10.1038/s42003-019-0525-0
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author McCormack, Clare P.
Ghani, Azra C.
Ferguson, Neil M.
author_facet McCormack, Clare P.
Ghani, Azra C.
Ferguson, Neil M.
author_sort McCormack, Clare P.
collection PubMed
description Fine-scale geographic variation in the transmission intensity of mosquito-borne diseases is primarily caused by variation in the density of female adult mosquitoes. Therefore, an understanding of fine-scale mosquito population dynamics is critical to understanding spatial heterogeneity in disease transmission and persistence at those scales. However, mathematical models of dengue and malaria transmission, which consider the dynamics of mosquito larvae, generally do not account for the fragmented structure of larval breeding sites. Here, we develop a stochastic metapopulation model of mosquito population dynamics and explore the impact of accounting for breeding site fragmentation when modelling fine-scale mosquito population dynamics. We find that, when mosquito population densities are low, fragmentation can lead to a reduction in population size, with population persistence dependent on mosquito dispersal and features of the underlying landscape. We conclude that using non-spatial models to represent fine-scale mosquito population dynamics may substantially underestimate the stochastic volatility of those populations.
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spelling pubmed-66585512019-08-01 Fine-scale modelling finds that breeding site fragmentation can reduce mosquito population persistence McCormack, Clare P. Ghani, Azra C. Ferguson, Neil M. Commun Biol Article Fine-scale geographic variation in the transmission intensity of mosquito-borne diseases is primarily caused by variation in the density of female adult mosquitoes. Therefore, an understanding of fine-scale mosquito population dynamics is critical to understanding spatial heterogeneity in disease transmission and persistence at those scales. However, mathematical models of dengue and malaria transmission, which consider the dynamics of mosquito larvae, generally do not account for the fragmented structure of larval breeding sites. Here, we develop a stochastic metapopulation model of mosquito population dynamics and explore the impact of accounting for breeding site fragmentation when modelling fine-scale mosquito population dynamics. We find that, when mosquito population densities are low, fragmentation can lead to a reduction in population size, with population persistence dependent on mosquito dispersal and features of the underlying landscape. We conclude that using non-spatial models to represent fine-scale mosquito population dynamics may substantially underestimate the stochastic volatility of those populations. Nature Publishing Group UK 2019-07-25 /pmc/articles/PMC6658551/ /pubmed/31372512 http://dx.doi.org/10.1038/s42003-019-0525-0 Text en © The Author(s) 2019 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
McCormack, Clare P.
Ghani, Azra C.
Ferguson, Neil M.
Fine-scale modelling finds that breeding site fragmentation can reduce mosquito population persistence
title Fine-scale modelling finds that breeding site fragmentation can reduce mosquito population persistence
title_full Fine-scale modelling finds that breeding site fragmentation can reduce mosquito population persistence
title_fullStr Fine-scale modelling finds that breeding site fragmentation can reduce mosquito population persistence
title_full_unstemmed Fine-scale modelling finds that breeding site fragmentation can reduce mosquito population persistence
title_short Fine-scale modelling finds that breeding site fragmentation can reduce mosquito population persistence
title_sort fine-scale modelling finds that breeding site fragmentation can reduce mosquito population persistence
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6658551/
https://www.ncbi.nlm.nih.gov/pubmed/31372512
http://dx.doi.org/10.1038/s42003-019-0525-0
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