A nationwide web-based automated system for early outbreak detection and rapid response in China

Yang, Weizhong, Li, Zhongie, Lan, Yajia, Wang, Jinfeng, Ma, Jiaqi, Jin, Lianmei, Sun, Qiao, Lv, Wei, Lai, Shengjie, Liao, Yilan, & Hu, Wenbiao (2011) A nationwide web-based automated system for early outbreak detection and rapid response in China. Western Pacific Surveillance and Response Journal, 2(1).

View at publisher (open access)


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 to transmit that 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.

Impact and interest:

Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 83566
Item Type: Journal Article
Refereed: Yes
Keywords: Early warning system, China, CIDARS
DOI: 10.5365/wpsar.2010.1.1.009
ISSN: 2094-7313
Divisions: Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Deposited On: 14 Apr 2015 22:36
Last Modified: 17 Apr 2015 05:00

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page