Cargando…
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...
Autores principales: | , , , |
---|---|
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 |
_version_ | 1783345065181052928 |
---|---|
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. |
format | Online Article Text |
id | pubmed-6078291 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT sanchezgonzalezgilberto predictionofdengueoutbreaksinmexicobasedonentomologicalmeteorologicalanddemographicdata AT conderenaud predictionofdengueoutbreaksinmexicobasedonentomologicalmeteorologicalanddemographicdata AT noguezmorenoraul predictionofdengueoutbreaksinmexicobasedonentomologicalmeteorologicalanddemographicdata AT lopezvazquezpc predictionofdengueoutbreaksinmexicobasedonentomologicalmeteorologicalanddemographicdata |