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Decoupling environmental effects and host population dynamics for anthrax, a classic reservoir-driven disease

Quantitative models describing environmentally-mediated disease transmission rarely focus on the independent contribution of recruitment and the environment on the force of infection driving outbreaks. In this study we attempt to investigate the interaction between external factors and host’s popula...

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Autores principales: Gomez, Juan Pablo, Nekorchuk, Dawn M., Mao, Liang, Ryan, Sadie J., Ponciano, José Miguel, Blackburn, Jason K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6291251/
https://www.ncbi.nlm.nih.gov/pubmed/30540815
http://dx.doi.org/10.1371/journal.pone.0208621
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author Gomez, Juan Pablo
Nekorchuk, Dawn M.
Mao, Liang
Ryan, Sadie J.
Ponciano, José Miguel
Blackburn, Jason K.
author_facet Gomez, Juan Pablo
Nekorchuk, Dawn M.
Mao, Liang
Ryan, Sadie J.
Ponciano, José Miguel
Blackburn, Jason K.
author_sort Gomez, Juan Pablo
collection PubMed
description Quantitative models describing environmentally-mediated disease transmission rarely focus on the independent contribution of recruitment and the environment on the force of infection driving outbreaks. In this study we attempt to investigate the interaction between external factors and host’s population dynamics in determining the outbreaks of some indirectly transmitted diseases. We first built deterministic and stochastic compartmental models based on anthrax which were parameterized using information from literature and complemented with field observations. Our force of infection function was derived modeling the number of successful transmission encounters as a pure birth process that depends on the pathogen’s dispersion effort. After accounting for individual heterogeneity in pathogen’s dispersion effort, we allowed the force of infection to vary seasonally according to external factors recreating a scenario in which disease transmission increases in response to an environmental variable. Using simulations we demonstrate that anthrax disease dynamics in mid-latitude grasslands is decoupled from hosts population dynamics. When seasonal forcing was ignored, outbreaks matched hosts reproductive events, a scenario that is not realistic in nature. Instead, when allowing the force of infection to vary seasonally, outbreaks were only present in years were environmental variables were appropriate for the outbreaks to develop. We used the stochastic formulation of the force of infection to derive R(0) under scenarios with different assumptions. The derivation of R(0) allowed us to conclude that during epizootic years, pathogen contribution to disease persistence is nearly independent of dispersion. In endemic years, only pathogens with high dispersion significantly prevent disease extinction. Finally, we used our model in a maximum likelihood framework to estimate the parameters that determined a significant anthrax outbreak in Montana in 2008. Our study highlights the importance of the environment in determining anthrax outbreak intensity and could be useful to predict future events that could result in significant wildlife and domestic livestock losses.
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spelling pubmed-62912512018-12-28 Decoupling environmental effects and host population dynamics for anthrax, a classic reservoir-driven disease Gomez, Juan Pablo Nekorchuk, Dawn M. Mao, Liang Ryan, Sadie J. Ponciano, José Miguel Blackburn, Jason K. PLoS One Research Article Quantitative models describing environmentally-mediated disease transmission rarely focus on the independent contribution of recruitment and the environment on the force of infection driving outbreaks. In this study we attempt to investigate the interaction between external factors and host’s population dynamics in determining the outbreaks of some indirectly transmitted diseases. We first built deterministic and stochastic compartmental models based on anthrax which were parameterized using information from literature and complemented with field observations. Our force of infection function was derived modeling the number of successful transmission encounters as a pure birth process that depends on the pathogen’s dispersion effort. After accounting for individual heterogeneity in pathogen’s dispersion effort, we allowed the force of infection to vary seasonally according to external factors recreating a scenario in which disease transmission increases in response to an environmental variable. Using simulations we demonstrate that anthrax disease dynamics in mid-latitude grasslands is decoupled from hosts population dynamics. When seasonal forcing was ignored, outbreaks matched hosts reproductive events, a scenario that is not realistic in nature. Instead, when allowing the force of infection to vary seasonally, outbreaks were only present in years were environmental variables were appropriate for the outbreaks to develop. We used the stochastic formulation of the force of infection to derive R(0) under scenarios with different assumptions. The derivation of R(0) allowed us to conclude that during epizootic years, pathogen contribution to disease persistence is nearly independent of dispersion. In endemic years, only pathogens with high dispersion significantly prevent disease extinction. Finally, we used our model in a maximum likelihood framework to estimate the parameters that determined a significant anthrax outbreak in Montana in 2008. Our study highlights the importance of the environment in determining anthrax outbreak intensity and could be useful to predict future events that could result in significant wildlife and domestic livestock losses. Public Library of Science 2018-12-12 /pmc/articles/PMC6291251/ /pubmed/30540815 http://dx.doi.org/10.1371/journal.pone.0208621 Text en © 2018 Gomez et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Gomez, Juan Pablo
Nekorchuk, Dawn M.
Mao, Liang
Ryan, Sadie J.
Ponciano, José Miguel
Blackburn, Jason K.
Decoupling environmental effects and host population dynamics for anthrax, a classic reservoir-driven disease
title Decoupling environmental effects and host population dynamics for anthrax, a classic reservoir-driven disease
title_full Decoupling environmental effects and host population dynamics for anthrax, a classic reservoir-driven disease
title_fullStr Decoupling environmental effects and host population dynamics for anthrax, a classic reservoir-driven disease
title_full_unstemmed Decoupling environmental effects and host population dynamics for anthrax, a classic reservoir-driven disease
title_short Decoupling environmental effects and host population dynamics for anthrax, a classic reservoir-driven disease
title_sort decoupling environmental effects and host population dynamics for anthrax, a classic reservoir-driven disease
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6291251/
https://www.ncbi.nlm.nih.gov/pubmed/30540815
http://dx.doi.org/10.1371/journal.pone.0208621
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