A nationwide web-based automated system for outbreak early detection and rapid response in China
A nationwide web-based automated system for outbreak early detection and rapid response in China
Timely reporting, effective analyses and rapid distribution of surveillance data can assist in detecting the aberration of disease occurrence and further facilitate a timely response. In China, a new nationwide web-based automated system for outbreak detection and rapid response was developed in 2008. The China Infectious Disease Automated-alert and Response System (CIDARS) was developed by the Chinese Center for Disease Control and Prevention based on the surveillance data from the existing electronic National Notifiable Infectious Diseases Reporting Information System (NIDRIS) started in 2004. NIDRIS greatly improved the timeliness and completeness of data reporting with real-time reporting information via the Internet. CIDARS further facilitates the data analysis, aberration detection, signal dissemination, signal response and information communication needed by public health departments across the country. In CIDARS, three aberration detection methods are used to detect the unusual occurrence of 28 notifiable infectious diseases at the county level and transmit information either in real time or on a daily basis. The Internet, computers and mobile phones are used to accomplish rapid signal generation and dissemination, timely reporting and reviewing of the signal response results. CIDARS has been used nationwide since 2008; all Centers for Disease Control and Prevention (CDC) in China at the county, prefecture, provincial and national levels are involved in the system. It assists with early outbreak detection at the local level and prompts reporting of unusual disease occurrences or potential outbreaks to CDCs throughout the country.
10-15
Yang, Weizhong
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Li, Zhongjie
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Lan, Yajia
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Wang, Jinfeng
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Ma, Jiaqi
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Jin, Lianmei
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Sun, Qiao
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Lv, Wei
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Lai, Shengjie
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Liao, Yilan
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Hu, Wenbiao
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January 2011
Yang, Weizhong
65d18fbc-d752-42a7-ac38-01534ceda15c
Li, Zhongjie
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Lan, Yajia
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Wang, Jinfeng
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Ma, Jiaqi
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Jin, Lianmei
339ce7b9-541a-4ed4-ac63-e62cd3545000
Sun, Qiao
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Lv, Wei
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Lai, Shengjie
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Liao, Yilan
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Hu, Wenbiao
ac87e378-67ae-4fa0-abf1-4cefcb0870f9
Yang, Weizhong, Li, Zhongjie, Lan, Yajia, Wang, Jinfeng, Ma, Jiaqi, Jin, Lianmei, Sun, Qiao, Lv, Wei, Lai, Shengjie, Liao, Yilan and Hu, Wenbiao
(2011)
A nationwide web-based automated system for outbreak early detection and rapid response in China.
WPSAR: Western Pacific Surveillance and Response Journal, 2 (1), .
(doi:10.5365/wpsar.2010.1.1.009).
(PMID:23908878)
Abstract
Timely reporting, effective analyses and rapid distribution of surveillance data can assist in detecting the aberration of disease occurrence and further facilitate a timely response. In China, a new nationwide web-based automated system for outbreak detection and rapid response was developed in 2008. The China Infectious Disease Automated-alert and Response System (CIDARS) was developed by the Chinese Center for Disease Control and Prevention based on the surveillance data from the existing electronic National Notifiable Infectious Diseases Reporting Information System (NIDRIS) started in 2004. NIDRIS greatly improved the timeliness and completeness of data reporting with real-time reporting information via the Internet. CIDARS further facilitates the data analysis, aberration detection, signal dissemination, signal response and information communication needed by public health departments across the country. In CIDARS, three aberration detection methods are used to detect the unusual occurrence of 28 notifiable infectious diseases at the county level and transmit information either in real time or on a daily basis. The Internet, computers and mobile phones are used to accomplish rapid signal generation and dissemination, timely reporting and reviewing of the signal response results. CIDARS has been used nationwide since 2008; all Centers for Disease Control and Prevention (CDC) in China at the county, prefecture, provincial and national levels are involved in the system. It assists with early outbreak detection at the local level and prompts reporting of unusual disease occurrences or potential outbreaks to CDCs throughout the country.
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Published date: January 2011
Organisations:
Population, Health & Wellbeing (PHeW)
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Local EPrints ID: 373603
URI: http://eprints.soton.ac.uk/id/eprint/373603
ISSN: 2094-7321
PURE UUID: c4c5968b-ce48-43cf-adef-bee8c4c6012c
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Date deposited: 22 Jan 2015 14:37
Last modified: 15 Mar 2024 04:02
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Contributors
Author:
Weizhong Yang
Author:
Zhongjie Li
Author:
Yajia Lan
Author:
Jinfeng Wang
Author:
Jiaqi Ma
Author:
Lianmei Jin
Author:
Qiao Sun
Author:
Wei Lv
Author:
Yilan Liao
Author:
Wenbiao Hu
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