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: Honglong Zhang, Zhongjie Li, Shengjie Lai, Archie C A Clements, Liping Wang, Wenwu Yin, Hang Zhou, Hongjie Yu, Wenbiao Hu, Weizhong Yang
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Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2014
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Acceso en línea:https://doaj.org/article/1835706f76df4612b0c31e33796ef51a
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spelling oai:doaj.org-article:1835706f76df4612b0c31e33796ef51a2021-11-25T06:02:33ZEvaluation of the performance of a dengue outbreak detection tool for China.1932-620310.1371/journal.pone.0106144https://doaj.org/article/1835706f76df4612b0c31e33796ef51a2014-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/25170873/?tool=EBIhttps://doaj.org/toc/1932-6203An 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.Honglong ZhangZhongjie LiShengjie LaiArchie C A ClementsLiping WangWenwu YinHang ZhouHongjie YuWenbiao HuWeizhong YangPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 8, p e106144 (2014)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Honglong Zhang
Zhongjie Li
Shengjie Lai
Archie C A Clements
Liping Wang
Wenwu Yin
Hang Zhou
Hongjie Yu
Wenbiao Hu
Weizhong Yang
Evaluation of the performance of a dengue outbreak detection tool for China.
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.
format article
author Honglong Zhang
Zhongjie Li
Shengjie Lai
Archie C A Clements
Liping Wang
Wenwu Yin
Hang Zhou
Hongjie Yu
Wenbiao Hu
Weizhong Yang
author_facet Honglong Zhang
Zhongjie Li
Shengjie Lai
Archie C A Clements
Liping Wang
Wenwu Yin
Hang Zhou
Hongjie Yu
Wenbiao Hu
Weizhong Yang
author_sort Honglong Zhang
title 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_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_sort evaluation of the performance of a dengue outbreak detection tool for china.
publisher Public Library of Science (PLoS)
publishDate 2014
url https://doaj.org/article/1835706f76df4612b0c31e33796ef51a
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