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Impact of Preventive Responses to Epidemics in Rural Regions

Various epidemics have arisen in rural locations through human-animal interaction, such as the H1N1 outbreak of 2009. Through collaboration with local government officials, we have surveyed a rural county and its communities and collected a dataset characterizing the rural population. From the respo...

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Detalles Bibliográficos
Autores principales: Schumm, Phillip, Schumm, Walter, Scoglio, Caterina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3594196/
https://www.ncbi.nlm.nih.gov/pubmed/23536851
http://dx.doi.org/10.1371/journal.pone.0059028
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author Schumm, Phillip
Schumm, Walter
Scoglio, Caterina
author_facet Schumm, Phillip
Schumm, Walter
Scoglio, Caterina
author_sort Schumm, Phillip
collection PubMed
description Various epidemics have arisen in rural locations through human-animal interaction, such as the H1N1 outbreak of 2009. Through collaboration with local government officials, we have surveyed a rural county and its communities and collected a dataset characterizing the rural population. From the respondents’ answers, we build a social (face-to-face) contact network. With this network, we explore the potential spread of epidemics through a Susceptible-Latent-Infected-Recovered (SLIR) disease model. We simulate an exact model of a stochastic SLIR Poisson process with disease parameters representing a typical influenza-like illness. We test vaccine distribution strategies under limited resources. We examine global and location-based distribution strategies, as a way to reach critical individuals in the rural setting. We demonstrate that locations can be identified through contact metrics for use in vaccination strategies to control contagious diseases.
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spelling pubmed-35941962013-03-27 Impact of Preventive Responses to Epidemics in Rural Regions Schumm, Phillip Schumm, Walter Scoglio, Caterina PLoS One Research Article Various epidemics have arisen in rural locations through human-animal interaction, such as the H1N1 outbreak of 2009. Through collaboration with local government officials, we have surveyed a rural county and its communities and collected a dataset characterizing the rural population. From the respondents’ answers, we build a social (face-to-face) contact network. With this network, we explore the potential spread of epidemics through a Susceptible-Latent-Infected-Recovered (SLIR) disease model. We simulate an exact model of a stochastic SLIR Poisson process with disease parameters representing a typical influenza-like illness. We test vaccine distribution strategies under limited resources. We examine global and location-based distribution strategies, as a way to reach critical individuals in the rural setting. We demonstrate that locations can be identified through contact metrics for use in vaccination strategies to control contagious diseases. Public Library of Science 2013-03-11 /pmc/articles/PMC3594196/ /pubmed/23536851 http://dx.doi.org/10.1371/journal.pone.0059028 Text en © 2013 Schumm 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
Schumm, Phillip
Schumm, Walter
Scoglio, Caterina
Impact of Preventive Responses to Epidemics in Rural Regions
title Impact of Preventive Responses to Epidemics in Rural Regions
title_full Impact of Preventive Responses to Epidemics in Rural Regions
title_fullStr Impact of Preventive Responses to Epidemics in Rural Regions
title_full_unstemmed Impact of Preventive Responses to Epidemics in Rural Regions
title_short Impact of Preventive Responses to Epidemics in Rural Regions
title_sort impact of preventive responses to epidemics in rural regions
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3594196/
https://www.ncbi.nlm.nih.gov/pubmed/23536851
http://dx.doi.org/10.1371/journal.pone.0059028
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