Heterogeneity, mixing, and the spatial scales of mosquito-borne pathogen transmission.

The Ross-Macdonald model has dominated theory for mosquito-borne pathogen transmission dynamics and control for over a century. The model, like many other basic population models, makes the mathematically convenient assumption that populations are well mixed; i.e., that each mosquito is equally like...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: T Alex Perkins, Thomas W Scott, Arnaud Le Menach, David L Smith
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2013
Materias:
Acceso en línea:https://doaj.org/article/df1b3bc935e5496c81e908ac35aa1e69
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:df1b3bc935e5496c81e908ac35aa1e69
record_format dspace
spelling oai:doaj.org-article:df1b3bc935e5496c81e908ac35aa1e692021-11-18T05:53:18ZHeterogeneity, mixing, and the spatial scales of mosquito-borne pathogen transmission.1553-734X1553-735810.1371/journal.pcbi.1003327https://doaj.org/article/df1b3bc935e5496c81e908ac35aa1e692013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24348223/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358The Ross-Macdonald model has dominated theory for mosquito-borne pathogen transmission dynamics and control for over a century. The model, like many other basic population models, makes the mathematically convenient assumption that populations are well mixed; i.e., that each mosquito is equally likely to bite any vertebrate host. This assumption raises questions about the validity and utility of current theory because it is in conflict with preponderant empirical evidence that transmission is heterogeneous. Here, we propose a new dynamic framework that is realistic enough to describe biological causes of heterogeneous transmission of mosquito-borne pathogens of humans, yet tractable enough to provide a basis for developing and improving general theory. The framework is based on the ecological context of mosquito blood meals and the fine-scale movements of individual mosquitoes and human hosts that give rise to heterogeneous transmission. Using this framework, we describe pathogen dispersion in terms of individual-level analogues of two classical quantities: vectorial capacity and the basic reproductive number, R0. Importantly, this framework explicitly accounts for three key components of overall heterogeneity in transmission: heterogeneous exposure, poor mixing, and finite host numbers. Using these tools, we propose two ways of characterizing the spatial scales of transmission--pathogen dispersion kernels and the evenness of mixing across scales of aggregation--and demonstrate the consequences of a model's choice of spatial scale for epidemic dynamics and for estimation of R0, both by a priori model formulas and by inference of the force of infection from time-series data.T Alex PerkinsThomas W ScottArnaud Le MenachDavid L SmithPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 9, Iss 12, p e1003327 (2013)
institution DOAJ
collection DOAJ
language EN
topic Biology (General)
QH301-705.5
spellingShingle Biology (General)
QH301-705.5
T Alex Perkins
Thomas W Scott
Arnaud Le Menach
David L Smith
Heterogeneity, mixing, and the spatial scales of mosquito-borne pathogen transmission.
description The Ross-Macdonald model has dominated theory for mosquito-borne pathogen transmission dynamics and control for over a century. The model, like many other basic population models, makes the mathematically convenient assumption that populations are well mixed; i.e., that each mosquito is equally likely to bite any vertebrate host. This assumption raises questions about the validity and utility of current theory because it is in conflict with preponderant empirical evidence that transmission is heterogeneous. Here, we propose a new dynamic framework that is realistic enough to describe biological causes of heterogeneous transmission of mosquito-borne pathogens of humans, yet tractable enough to provide a basis for developing and improving general theory. The framework is based on the ecological context of mosquito blood meals and the fine-scale movements of individual mosquitoes and human hosts that give rise to heterogeneous transmission. Using this framework, we describe pathogen dispersion in terms of individual-level analogues of two classical quantities: vectorial capacity and the basic reproductive number, R0. Importantly, this framework explicitly accounts for three key components of overall heterogeneity in transmission: heterogeneous exposure, poor mixing, and finite host numbers. Using these tools, we propose two ways of characterizing the spatial scales of transmission--pathogen dispersion kernels and the evenness of mixing across scales of aggregation--and demonstrate the consequences of a model's choice of spatial scale for epidemic dynamics and for estimation of R0, both by a priori model formulas and by inference of the force of infection from time-series data.
format article
author T Alex Perkins
Thomas W Scott
Arnaud Le Menach
David L Smith
author_facet T Alex Perkins
Thomas W Scott
Arnaud Le Menach
David L Smith
author_sort T Alex Perkins
title Heterogeneity, mixing, and the spatial scales of mosquito-borne pathogen transmission.
title_short Heterogeneity, mixing, and the spatial scales of mosquito-borne pathogen transmission.
title_full Heterogeneity, mixing, and the spatial scales of mosquito-borne pathogen transmission.
title_fullStr Heterogeneity, mixing, and the spatial scales of mosquito-borne pathogen transmission.
title_full_unstemmed Heterogeneity, mixing, and the spatial scales of mosquito-borne pathogen transmission.
title_sort heterogeneity, mixing, and the spatial scales of mosquito-borne pathogen transmission.
publisher Public Library of Science (PLoS)
publishDate 2013
url https://doaj.org/article/df1b3bc935e5496c81e908ac35aa1e69
work_keys_str_mv AT talexperkins heterogeneitymixingandthespatialscalesofmosquitobornepathogentransmission
AT thomaswscott heterogeneitymixingandthespatialscalesofmosquitobornepathogentransmission
AT arnaudlemenach heterogeneitymixingandthespatialscalesofmosquitobornepathogentransmission
AT davidlsmith heterogeneitymixingandthespatialscalesofmosquitobornepathogentransmission
_version_ 1718424699201912832