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Man Bites Mosquito: Understanding the Contribution of Human Movement to Vector-Borne Disease Dynamics

In metropolitan areas people travel frequently and extensively but often in highly structured commuting patterns. We investigate the role of this type of human movement in the epidemiology of vector-borne pathogens such as dengue. Analysis is based on a metapopulation model where mobile humans conne...

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Detalles Bibliográficos
Autores principales: Adams, Ben, Kapan, Durrell D.
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2727792/
https://www.ncbi.nlm.nih.gov/pubmed/19707544
http://dx.doi.org/10.1371/journal.pone.0006763
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author Adams, Ben
Kapan, Durrell D.
author_facet Adams, Ben
Kapan, Durrell D.
author_sort Adams, Ben
collection PubMed
description In metropolitan areas people travel frequently and extensively but often in highly structured commuting patterns. We investigate the role of this type of human movement in the epidemiology of vector-borne pathogens such as dengue. Analysis is based on a metapopulation model where mobile humans connect static mosquito subpopulations. We find that, due to frequency dependent biting, infection incidence in the human and mosquito populations is almost independent of the duration of contact. If the mosquito population is not uniformly distributed between patches the transmission potential of the pathogen at the metapopulation level, as summarized by the basic reproductive number, is determined by the size of the largest subpopulation and reduced by stronger connectivity. Global extinction of the pathogen is less likely when increased human movement enhances the rescue effect but, in contrast to classical theory, it is not minimized at an intermediate level of connectivity. We conclude that hubs and reservoirs of infection can be places people visit frequently but briefly and the relative importance of human and mosquito populations in maintaining the pathogen depends on the distribution of the mosquito population and the variability in human travel patterns. These results offer an insight in to the paradoxical observation of resurgent urban vector-borne disease despite increased investment in vector control and suggest that successful public health intervention may require a dual approach. Prospective studies can be used to identify areas with large mosquito populations that are also visited by a large fraction of the human population. Retrospective studies can be used to map recent movements of infected people, pinpointing the mosquito subpopulation from which they acquired the infection and others to which they may have transmitted it.
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spelling pubmed-27277922009-08-26 Man Bites Mosquito: Understanding the Contribution of Human Movement to Vector-Borne Disease Dynamics Adams, Ben Kapan, Durrell D. PLoS One Research Article In metropolitan areas people travel frequently and extensively but often in highly structured commuting patterns. We investigate the role of this type of human movement in the epidemiology of vector-borne pathogens such as dengue. Analysis is based on a metapopulation model where mobile humans connect static mosquito subpopulations. We find that, due to frequency dependent biting, infection incidence in the human and mosquito populations is almost independent of the duration of contact. If the mosquito population is not uniformly distributed between patches the transmission potential of the pathogen at the metapopulation level, as summarized by the basic reproductive number, is determined by the size of the largest subpopulation and reduced by stronger connectivity. Global extinction of the pathogen is less likely when increased human movement enhances the rescue effect but, in contrast to classical theory, it is not minimized at an intermediate level of connectivity. We conclude that hubs and reservoirs of infection can be places people visit frequently but briefly and the relative importance of human and mosquito populations in maintaining the pathogen depends on the distribution of the mosquito population and the variability in human travel patterns. These results offer an insight in to the paradoxical observation of resurgent urban vector-borne disease despite increased investment in vector control and suggest that successful public health intervention may require a dual approach. Prospective studies can be used to identify areas with large mosquito populations that are also visited by a large fraction of the human population. Retrospective studies can be used to map recent movements of infected people, pinpointing the mosquito subpopulation from which they acquired the infection and others to which they may have transmitted it. Public Library of Science 2009-08-26 /pmc/articles/PMC2727792/ /pubmed/19707544 http://dx.doi.org/10.1371/journal.pone.0006763 Text en Adams, Kapan. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Adams, Ben
Kapan, Durrell D.
Man Bites Mosquito: Understanding the Contribution of Human Movement to Vector-Borne Disease Dynamics
title Man Bites Mosquito: Understanding the Contribution of Human Movement to Vector-Borne Disease Dynamics
title_full Man Bites Mosquito: Understanding the Contribution of Human Movement to Vector-Borne Disease Dynamics
title_fullStr Man Bites Mosquito: Understanding the Contribution of Human Movement to Vector-Borne Disease Dynamics
title_full_unstemmed Man Bites Mosquito: Understanding the Contribution of Human Movement to Vector-Borne Disease Dynamics
title_short Man Bites Mosquito: Understanding the Contribution of Human Movement to Vector-Borne Disease Dynamics
title_sort man bites mosquito: understanding the contribution of human movement to vector-borne disease dynamics
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2727792/
https://www.ncbi.nlm.nih.gov/pubmed/19707544
http://dx.doi.org/10.1371/journal.pone.0006763
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