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Cholera Transmission in Ouest Department of Haiti: Dynamic Modeling and the Future of the Epidemic

In the current study, a comprehensive, data driven, mathematical model for cholera transmission in Haiti is presented. Along with the inclusion of short cycle human-to-human transmission and long cycle human-to-environment and environment-to-human transmission, this novel dynamic model incorporates...

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Autores principales: Kirpich, Alexander, Weppelmann, Thomas A., Yang, Yang, Ali, Afsar, Morris, J. Glenn, Longini, Ira M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4619523/
https://www.ncbi.nlm.nih.gov/pubmed/26488620
http://dx.doi.org/10.1371/journal.pntd.0004153
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author Kirpich, Alexander
Weppelmann, Thomas A.
Yang, Yang
Ali, Afsar
Morris, J. Glenn
Longini, Ira M.
author_facet Kirpich, Alexander
Weppelmann, Thomas A.
Yang, Yang
Ali, Afsar
Morris, J. Glenn
Longini, Ira M.
author_sort Kirpich, Alexander
collection PubMed
description In the current study, a comprehensive, data driven, mathematical model for cholera transmission in Haiti is presented. Along with the inclusion of short cycle human-to-human transmission and long cycle human-to-environment and environment-to-human transmission, this novel dynamic model incorporates both the reported cholera incidence and remote sensing data from the Ouest Department of Haiti between 2010 to 2014. The model has separate compartments for infectious individuals that include different levels of infectivity to reflect the distribution of symptomatic and asymptomatic cases in the population. The environmental compartment, which serves as a source of exposure to toxigenic V. cholerae, is also modeled separately based on the biology of causative bacterium, the shedding of V. cholerae O1 by humans into the environment, as well as the effects of precipitation and water temperature on the concentration and survival of V. cholerae in aquatic reservoirs. Although the number of reported cholera cases has declined compared to the initial outbreak in 2010, the increase in the number of susceptible population members and the presence of toxigenic V. cholerae in the environment estimated by the model indicate that without further improvements to drinking water and sanitation infrastructures, intermittent cholera outbreaks are likely to continue in Haiti.
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spelling pubmed-46195232015-10-29 Cholera Transmission in Ouest Department of Haiti: Dynamic Modeling and the Future of the Epidemic Kirpich, Alexander Weppelmann, Thomas A. Yang, Yang Ali, Afsar Morris, J. Glenn Longini, Ira M. PLoS Negl Trop Dis Research Article In the current study, a comprehensive, data driven, mathematical model for cholera transmission in Haiti is presented. Along with the inclusion of short cycle human-to-human transmission and long cycle human-to-environment and environment-to-human transmission, this novel dynamic model incorporates both the reported cholera incidence and remote sensing data from the Ouest Department of Haiti between 2010 to 2014. The model has separate compartments for infectious individuals that include different levels of infectivity to reflect the distribution of symptomatic and asymptomatic cases in the population. The environmental compartment, which serves as a source of exposure to toxigenic V. cholerae, is also modeled separately based on the biology of causative bacterium, the shedding of V. cholerae O1 by humans into the environment, as well as the effects of precipitation and water temperature on the concentration and survival of V. cholerae in aquatic reservoirs. Although the number of reported cholera cases has declined compared to the initial outbreak in 2010, the increase in the number of susceptible population members and the presence of toxigenic V. cholerae in the environment estimated by the model indicate that without further improvements to drinking water and sanitation infrastructures, intermittent cholera outbreaks are likely to continue in Haiti. Public Library of Science 2015-10-21 /pmc/articles/PMC4619523/ /pubmed/26488620 http://dx.doi.org/10.1371/journal.pntd.0004153 Text en © 2015 Kirpich 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Kirpich, Alexander
Weppelmann, Thomas A.
Yang, Yang
Ali, Afsar
Morris, J. Glenn
Longini, Ira M.
Cholera Transmission in Ouest Department of Haiti: Dynamic Modeling and the Future of the Epidemic
title Cholera Transmission in Ouest Department of Haiti: Dynamic Modeling and the Future of the Epidemic
title_full Cholera Transmission in Ouest Department of Haiti: Dynamic Modeling and the Future of the Epidemic
title_fullStr Cholera Transmission in Ouest Department of Haiti: Dynamic Modeling and the Future of the Epidemic
title_full_unstemmed Cholera Transmission in Ouest Department of Haiti: Dynamic Modeling and the Future of the Epidemic
title_short Cholera Transmission in Ouest Department of Haiti: Dynamic Modeling and the Future of the Epidemic
title_sort cholera transmission in ouest department of haiti: dynamic modeling and the future of the epidemic
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4619523/
https://www.ncbi.nlm.nih.gov/pubmed/26488620
http://dx.doi.org/10.1371/journal.pntd.0004153
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