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Prediction of dengue outbreaks in Mexico based on entomological, meteorological and demographic data

Dengue virus has shown a complex pattern of transmission across Latin America over the last two decades. In an attempt to explain the permanence of the disease in regions subjected to drought seasons lasting over six months, various hypotheses have been proposed. These include transovarial transmiss...

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Autores principales: Sánchez-González, Gilberto, Condé, Renaud, Noguez Moreno, Raúl, López Vázquez, P. C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6078291/
https://www.ncbi.nlm.nih.gov/pubmed/30080868
http://dx.doi.org/10.1371/journal.pone.0196047
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author Sánchez-González, Gilberto
Condé, Renaud
Noguez Moreno, Raúl
López Vázquez, P. C.
author_facet Sánchez-González, Gilberto
Condé, Renaud
Noguez Moreno, Raúl
López Vázquez, P. C.
author_sort Sánchez-González, Gilberto
collection PubMed
description Dengue virus has shown a complex pattern of transmission across Latin America over the last two decades. In an attempt to explain the permanence of the disease in regions subjected to drought seasons lasting over six months, various hypotheses have been proposed. These include transovarial transmission, forest reservoirs and asymptomatic human virus carriers. Dengue virus is endemic in Mexico, a country in which half of the population is seropositive. Seropositivity is a risk factor for Dengue Hemorrhagic Fever upon a second encounter with the dengue virus. Since Dengue Hemorrhagic Fever can cause death, it is important to develop epidemiological mathematical tools that enable policy makers to predict regions potentially at risk for a dengue epidemic. We formulated a mathematical model of dengue transmission, considering both human behavior and environmental conditions pertinent to the transmission of the disease. When data on past human population density, temperature and rainfall were entered into this model, it provided an accurate picture of the actual spread of dengue over recent years in four states (representing two climactic conditions) in Mexico.
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spelling pubmed-60782912018-08-28 Prediction of dengue outbreaks in Mexico based on entomological, meteorological and demographic data Sánchez-González, Gilberto Condé, Renaud Noguez Moreno, Raúl López Vázquez, P. C. PLoS One Research Article Dengue virus has shown a complex pattern of transmission across Latin America over the last two decades. In an attempt to explain the permanence of the disease in regions subjected to drought seasons lasting over six months, various hypotheses have been proposed. These include transovarial transmission, forest reservoirs and asymptomatic human virus carriers. Dengue virus is endemic in Mexico, a country in which half of the population is seropositive. Seropositivity is a risk factor for Dengue Hemorrhagic Fever upon a second encounter with the dengue virus. Since Dengue Hemorrhagic Fever can cause death, it is important to develop epidemiological mathematical tools that enable policy makers to predict regions potentially at risk for a dengue epidemic. We formulated a mathematical model of dengue transmission, considering both human behavior and environmental conditions pertinent to the transmission of the disease. When data on past human population density, temperature and rainfall were entered into this model, it provided an accurate picture of the actual spread of dengue over recent years in four states (representing two climactic conditions) in Mexico. Public Library of Science 2018-08-06 /pmc/articles/PMC6078291/ /pubmed/30080868 http://dx.doi.org/10.1371/journal.pone.0196047 Text en © 2018 Sánchez-González 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
Sánchez-González, Gilberto
Condé, Renaud
Noguez Moreno, Raúl
López Vázquez, P. C.
Prediction of dengue outbreaks in Mexico based on entomological, meteorological and demographic data
title Prediction of dengue outbreaks in Mexico based on entomological, meteorological and demographic data
title_full Prediction of dengue outbreaks in Mexico based on entomological, meteorological and demographic data
title_fullStr Prediction of dengue outbreaks in Mexico based on entomological, meteorological and demographic data
title_full_unstemmed Prediction of dengue outbreaks in Mexico based on entomological, meteorological and demographic data
title_short Prediction of dengue outbreaks in Mexico based on entomological, meteorological and demographic data
title_sort prediction of dengue outbreaks in mexico based on entomological, meteorological and demographic data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6078291/
https://www.ncbi.nlm.nih.gov/pubmed/30080868
http://dx.doi.org/10.1371/journal.pone.0196047
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