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Predicting Dengue Outbreaks in Cambodia
In Cambodia, dengue outbreaks occur each rainy season (May–October) but vary in magnitude. Using national surveillance data, we designed a tool that can predict 90% of the variance in peak magnitude by April, when typically <10% of dengue cases have been reported. This prediction may help hospita...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6874239/ https://www.ncbi.nlm.nih.gov/pubmed/31742509 http://dx.doi.org/10.3201/eid2512.181193 |
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author | Cousien, Anthony Ledien, Julia Souv, Kimsan Leang, Rithea Huy, Rekol Fontenille, Didier Ly, Sowath Duong, Veasna Dussart, Philippe Piola, Patrice Cauchemez, Simon Tarantola, Arnaud |
author_facet | Cousien, Anthony Ledien, Julia Souv, Kimsan Leang, Rithea Huy, Rekol Fontenille, Didier Ly, Sowath Duong, Veasna Dussart, Philippe Piola, Patrice Cauchemez, Simon Tarantola, Arnaud |
author_sort | Cousien, Anthony |
collection | PubMed |
description | In Cambodia, dengue outbreaks occur each rainy season (May–October) but vary in magnitude. Using national surveillance data, we designed a tool that can predict 90% of the variance in peak magnitude by April, when typically <10% of dengue cases have been reported. This prediction may help hospitals anticipate excess patients. |
format | Online Article Text |
id | pubmed-6874239 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-68742392019-12-01 Predicting Dengue Outbreaks in Cambodia Cousien, Anthony Ledien, Julia Souv, Kimsan Leang, Rithea Huy, Rekol Fontenille, Didier Ly, Sowath Duong, Veasna Dussart, Philippe Piola, Patrice Cauchemez, Simon Tarantola, Arnaud Emerg Infect Dis Dispatch In Cambodia, dengue outbreaks occur each rainy season (May–October) but vary in magnitude. Using national surveillance data, we designed a tool that can predict 90% of the variance in peak magnitude by April, when typically <10% of dengue cases have been reported. This prediction may help hospitals anticipate excess patients. Centers for Disease Control and Prevention 2019-12 /pmc/articles/PMC6874239/ /pubmed/31742509 http://dx.doi.org/10.3201/eid2512.181193 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited. |
spellingShingle | Dispatch Cousien, Anthony Ledien, Julia Souv, Kimsan Leang, Rithea Huy, Rekol Fontenille, Didier Ly, Sowath Duong, Veasna Dussart, Philippe Piola, Patrice Cauchemez, Simon Tarantola, Arnaud Predicting Dengue Outbreaks in Cambodia |
title | Predicting Dengue Outbreaks in Cambodia |
title_full | Predicting Dengue Outbreaks in Cambodia |
title_fullStr | Predicting Dengue Outbreaks in Cambodia |
title_full_unstemmed | Predicting Dengue Outbreaks in Cambodia |
title_short | Predicting Dengue Outbreaks in Cambodia |
title_sort | predicting dengue outbreaks in cambodia |
topic | Dispatch |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6874239/ https://www.ncbi.nlm.nih.gov/pubmed/31742509 http://dx.doi.org/10.3201/eid2512.181193 |
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