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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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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. |
format | Online Article Text |
id | pubmed-6658551 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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