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...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2014-01-01
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| Series: | PLoS ONE |
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/25170873/?tool=EBI |
| _version_ | 1819319322914324480 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-24T11:01:51Z |
| format | Article |
| id | doaj.art-1835706f76df4612b0c31e33796ef51a |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-24T11:01:51Z |
| publishDate | 2014-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-1835706f76df4612b0c31e33796ef51a2022-12-21T16:58:42ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0198e10614410.1371/journal.pone.0106144Evaluation of the performance of a dengue outbreak detection tool for China.Honglong ZhangZhongjie LiShengjie LaiArchie C A ClementsLiping WangWenwu YinHang ZhouHongjie YuWenbiao HuWeizhong YangAn 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.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/25170873/?tool=EBI |
| spellingShingle | 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. PLoS ONE |
| 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 |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/25170873/?tool=EBI |
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