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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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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. |
format | Online Article Text |
id | pubmed-4149532 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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