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Evaluation of the Performance of a Dengue Outbreak Detection Tool for China

An outbreak detection and response system, using time series moving percentile method based on historical data, in China has been used for identifying dengue fever outbreaks since 2008. For dengue fever outbreaks reported from 2009 to 2012, this system achieved a sensitivity of 100%, a specificity o...

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Autores principales: Zhang, Honglong, Li, Zhongjie, Lai, Shengjie, Clements, Archie C. A., Wang, Liping, Yin, Wenwu, Zhou, Hang, Yu, Hongjie, Hu, Wenbiao, Yang, Weizhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4149532/
https://www.ncbi.nlm.nih.gov/pubmed/25170873
http://dx.doi.org/10.1371/journal.pone.0106144
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author Zhang, Honglong
Li, Zhongjie
Lai, Shengjie
Clements, Archie C. A.
Wang, Liping
Yin, Wenwu
Zhou, Hang
Yu, Hongjie
Hu, Wenbiao
Yang, Weizhong
author_facet Zhang, Honglong
Li, Zhongjie
Lai, Shengjie
Clements, Archie C. A.
Wang, Liping
Yin, Wenwu
Zhou, Hang
Yu, Hongjie
Hu, Wenbiao
Yang, Weizhong
author_sort Zhang, Honglong
collection PubMed
description An outbreak detection and response system, using time series moving percentile method based on historical data, in China has been used for identifying dengue fever outbreaks since 2008. For dengue fever outbreaks reported from 2009 to 2012, this system achieved a sensitivity of 100%, a specificity of 99.8% and a median time to detection of 3 days, which indicated that the system was a useful decision tool for dengue fever control and risk-management programs in China.
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spelling pubmed-41495322014-09-03 Evaluation of the Performance of a Dengue Outbreak Detection Tool for China Zhang, Honglong Li, Zhongjie Lai, Shengjie Clements, Archie C. A. Wang, Liping Yin, Wenwu Zhou, Hang Yu, Hongjie Hu, Wenbiao Yang, Weizhong PLoS One Research Article An outbreak detection and response system, using time series moving percentile method based on historical data, in China has been used for identifying dengue fever outbreaks since 2008. For dengue fever outbreaks reported from 2009 to 2012, this system achieved a sensitivity of 100%, a specificity of 99.8% and a median time to detection of 3 days, which indicated that the system was a useful decision tool for dengue fever control and risk-management programs in China. Public Library of Science 2014-08-29 /pmc/articles/PMC4149532/ /pubmed/25170873 http://dx.doi.org/10.1371/journal.pone.0106144 Text en © 2014 Zhang 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
Zhang, Honglong
Li, Zhongjie
Lai, Shengjie
Clements, Archie C. A.
Wang, Liping
Yin, Wenwu
Zhou, Hang
Yu, Hongjie
Hu, Wenbiao
Yang, Weizhong
Evaluation of the Performance of a Dengue Outbreak Detection Tool for China
title Evaluation of the Performance of a Dengue Outbreak Detection Tool for China
title_full Evaluation of the Performance of a Dengue Outbreak Detection Tool for China
title_fullStr Evaluation of the Performance of a Dengue Outbreak Detection Tool for China
title_full_unstemmed Evaluation of the Performance of a Dengue Outbreak Detection Tool for China
title_short Evaluation of the Performance of a Dengue Outbreak Detection Tool for China
title_sort evaluation of the performance of a dengue outbreak detection tool for china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4149532/
https://www.ncbi.nlm.nih.gov/pubmed/25170873
http://dx.doi.org/10.1371/journal.pone.0106144
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