国家传染病自动预警系统运行状况分析
国家传染病自动预警系统运行状况分析
To analyze the results of application on China Infectious Diseases Automated-alert and Response System (CIDARS) and for further improving the system. Amount of signal, proportion of signal responded, time to signal response, manner of signal verification and the outcome of each signal in CIDARS were descriptively analyzed from July 1, 2008 to June 30, 2010. A total of 533 829 signals were generated nationwide on 28 kinds of infectious diseases in the system. 97.13% of the signals had been responded and the median time to response was 1.1 hours. Among them, 2472 signals were generated by the fixed-value detection method which involved 9 kinds of diseases after the preliminary verification, field investigation and laboratory tests. 2202 signals were excluded, and finally 246 cholera cases, 15 plague cases and 9 H5N1 cases as well as 39 outbreaks of cholera were confirmed. 531 357 signals were generated by the other method - the 'moving percentile method' which involved 19 kinds of diseases. The average amount of signal per county per week was 1.65, with 6603 signals (1.24%) preliminarily verified as suspected outbreaks and 1594 outbreaks were finally confirmed by further field investigation. For diseases in CIDARS, the proportion of signals related to suspected outbreaks to all triggered signals showed a positive correlation with the proportion of cases related to outbreaks of all the reported cases (r = 0.963, P < 0.01). The signals of CIDARS were responded timely, and the signal could act as a clue for potential outbreaks, which helped enhancing the ability on outbreaks detection for local public health departments.
431-435
Yang, Wei Zhong
35daea8e-8d21-43ec-bc93-f39c1c304316
Li, Zhong Jie
8c060065-5459-449e-a776-29d55614adb7
Lai, Sheng Jie
b57a5fe8-cfb6-4fa7-b414-a98bb891b001
Jin, Lian Mei
bae23fe9-8a93-4ebe-b155-31378260bd2f
Zhang, Hong Long
8557347d-5501-40fa-8d22-4db4eb49ac79
Ye, Chu Chu
5e3a46ad-4cbf-4b53-a34f-90b62e13cda2
Zhao, Dan
574aeefa-2ebd-42c1-873b-d4ee04801e61
Sun, Qiao
8ccc39da-bd3b-495f-9aa0-fab50b8e881f
Lü, Wei
b4333a7e-0bc2-403e-90aa-1b4600b3fff3
Ma, Jia Qi
214903f4-ef39-441b-909d-70a506859b18
Wang, Jin Feng
b8ccd997-188b-4d55-af4b-02f6189625ba
Lan, Ya Jia
ae181683-8295-465f-be16-9729b036f136
1 January 2011
Yang, Wei Zhong
35daea8e-8d21-43ec-bc93-f39c1c304316
Li, Zhong Jie
8c060065-5459-449e-a776-29d55614adb7
Lai, Sheng Jie
b57a5fe8-cfb6-4fa7-b414-a98bb891b001
Jin, Lian Mei
bae23fe9-8a93-4ebe-b155-31378260bd2f
Zhang, Hong Long
8557347d-5501-40fa-8d22-4db4eb49ac79
Ye, Chu Chu
5e3a46ad-4cbf-4b53-a34f-90b62e13cda2
Zhao, Dan
574aeefa-2ebd-42c1-873b-d4ee04801e61
Sun, Qiao
8ccc39da-bd3b-495f-9aa0-fab50b8e881f
Lü, Wei
b4333a7e-0bc2-403e-90aa-1b4600b3fff3
Ma, Jia Qi
214903f4-ef39-441b-909d-70a506859b18
Wang, Jin Feng
b8ccd997-188b-4d55-af4b-02f6189625ba
Lan, Ya Jia
ae181683-8295-465f-be16-9729b036f136
Yang, Wei Zhong, Li, Zhong Jie, Lai, Sheng Jie, Jin, Lian Mei, Zhang, Hong Long, Ye, Chu Chu, Zhao, Dan, Sun, Qiao, Lü, Wei, Ma, Jia Qi, Wang, Jin Feng and Lan, Ya Jia
(2011)
国家传染病自动预警系统运行状况分析.
Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi, 32 (5), .
(doi:10.3760/cma.j.issn.0254-6450.2011.05.002).
Abstract
To analyze the results of application on China Infectious Diseases Automated-alert and Response System (CIDARS) and for further improving the system. Amount of signal, proportion of signal responded, time to signal response, manner of signal verification and the outcome of each signal in CIDARS were descriptively analyzed from July 1, 2008 to June 30, 2010. A total of 533 829 signals were generated nationwide on 28 kinds of infectious diseases in the system. 97.13% of the signals had been responded and the median time to response was 1.1 hours. Among them, 2472 signals were generated by the fixed-value detection method which involved 9 kinds of diseases after the preliminary verification, field investigation and laboratory tests. 2202 signals were excluded, and finally 246 cholera cases, 15 plague cases and 9 H5N1 cases as well as 39 outbreaks of cholera were confirmed. 531 357 signals were generated by the other method - the 'moving percentile method' which involved 19 kinds of diseases. The average amount of signal per county per week was 1.65, with 6603 signals (1.24%) preliminarily verified as suspected outbreaks and 1594 outbreaks were finally confirmed by further field investigation. For diseases in CIDARS, the proportion of signals related to suspected outbreaks to all triggered signals showed a positive correlation with the proportion of cases related to outbreaks of all the reported cases (r = 0.963, P < 0.01). The signals of CIDARS were responded timely, and the signal could act as a clue for potential outbreaks, which helped enhancing the ability on outbreaks detection for local public health departments.
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Published date: 1 January 2011
Alternative titles:
Preliminary application on China Infectious Diseases Automated-alert and Response System (CIDARS), between 2008 and 2010
Identifiers
Local EPrints ID: 429182
URI: http://eprints.soton.ac.uk/id/eprint/429182
ISSN: 0254-6450
PURE UUID: 87d82333-3325-4203-8f95-0e2f4156df75
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Date deposited: 22 Mar 2019 17:30
Last modified: 06 Jun 2024 02:03
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Author:
Wei Zhong Yang
Author:
Zhong Jie Li
Author:
Lian Mei Jin
Author:
Hong Long Zhang
Author:
Chu Chu Ye
Author:
Dan Zhao
Author:
Qiao Sun
Author:
Wei Lü
Author:
Jia Qi Ma
Author:
Jin Feng Wang
Author:
Ya Jia Lan
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