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传染病暴发探测时间模型和时空模型的应用效果比较

传染病暴发探测时间模型和时空模型的应用效果比较
传染病暴发探测时间模型和时空模型的应用效果比较

To analyze the pilot results of both temporal and temporal-spatial models in outbreaks detection in China Infectious Diseases Automated-alert and Response System (CIDARS) to further improve the system. The amount of signal, sensitivity, false alarm rate and time to detection regarding these two models of CIDARS, were analyzed from December 6, 2009 to December 5, 2010 in 221 pilot counties of 20 provinces. The sensitivity of these two models was equal (both 98.15%). However, when comparing to the temporal model, the temporal-spatial model had a 59.86% reduction on the signals (15 702) while the false alarm rate of the temporal-spatial model (0.73%) was lower than the temporal model (1.79%), and the time to detection of the temporal-spatial model (0 day) was also 1 day shorter than the temporal model. Comparing to the temporal model, the temporal-spatial model of CIDARS seemed to be better performed on outbreak detection.

0254-6450
436-441
Li, Zhong Jie
8c060065-5459-449e-a776-29d55614adb7
Liao, Yi Lan
95459865-1829-4ef9-8c77-1644abaa5c74
Lai, Sheng Jie
b57a5fe8-cfb6-4fa7-b414-a98bb891b001
Zhang, Hong Long
8557347d-5501-40fa-8d22-4db4eb49ac79
Ye, Chu Chu
5e3a46ad-4cbf-4b53-a34f-90b62e13cda2
Zhao, Dan
574aeefa-2ebd-42c1-873b-d4ee04801e61
Jin, Lian Mei
bae23fe9-8a93-4ebe-b155-31378260bd2f
Ma, Jia Qi
214903f4-ef39-441b-909d-70a506859b18
Lan, Ya Jia
ae181683-8295-465f-be16-9729b036f136
Wang, Jin Feng
b8ccd997-188b-4d55-af4b-02f6189625ba
Yang, Wei Zhong
35daea8e-8d21-43ec-bc93-f39c1c304316
Li, Zhong Jie
8c060065-5459-449e-a776-29d55614adb7
Liao, Yi Lan
95459865-1829-4ef9-8c77-1644abaa5c74
Lai, Sheng Jie
b57a5fe8-cfb6-4fa7-b414-a98bb891b001
Zhang, Hong Long
8557347d-5501-40fa-8d22-4db4eb49ac79
Ye, Chu Chu
5e3a46ad-4cbf-4b53-a34f-90b62e13cda2
Zhao, Dan
574aeefa-2ebd-42c1-873b-d4ee04801e61
Jin, Lian Mei
bae23fe9-8a93-4ebe-b155-31378260bd2f
Ma, Jia Qi
214903f4-ef39-441b-909d-70a506859b18
Lan, Ya Jia
ae181683-8295-465f-be16-9729b036f136
Wang, Jin Feng
b8ccd997-188b-4d55-af4b-02f6189625ba
Yang, Wei Zhong
35daea8e-8d21-43ec-bc93-f39c1c304316

Li, Zhong Jie, Liao, Yi Lan, Lai, Sheng Jie, Zhang, Hong Long, Ye, Chu Chu, Zhao, Dan, Jin, Lian Mei, Ma, Jia Qi, Lan, Ya Jia, Wang, Jin Feng and Yang, Wei Zhong (2011) 传染病暴发探测时间模型和时空模型的应用效果比较. Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi, 32 (5), 436-441. (doi:10.3760/cma.j.issn.0254-6450.2011.05.003).

Record type: Article

Abstract

To analyze the pilot results of both temporal and temporal-spatial models in outbreaks detection in China Infectious Diseases Automated-alert and Response System (CIDARS) to further improve the system. The amount of signal, sensitivity, false alarm rate and time to detection regarding these two models of CIDARS, were analyzed from December 6, 2009 to December 5, 2010 in 221 pilot counties of 20 provinces. The sensitivity of these two models was equal (both 98.15%). However, when comparing to the temporal model, the temporal-spatial model had a 59.86% reduction on the signals (15 702) while the false alarm rate of the temporal-spatial model (0.73%) was lower than the temporal model (1.79%), and the time to detection of the temporal-spatial model (0 day) was also 1 day shorter than the temporal model. Comparing to the temporal model, the temporal-spatial model of CIDARS seemed to be better performed on outbreak detection.

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More information

Published date: 1 January 2011
Alternative titles: Comparison on the performance of both temporal and temporal-spatial models for outbreak detection through China Infectious Diseases Automated-alert and Response System (CIDARS

Identifiers

Local EPrints ID: 429183
URI: http://eprints.soton.ac.uk/id/eprint/429183
ISSN: 0254-6450
PURE UUID: b3439ea2-5b4a-4226-b242-b0a7a3677247
ORCID for Sheng Jie Lai: ORCID iD orcid.org/0000-0001-9781-8148

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Date deposited: 22 Mar 2019 17:30
Last modified: 16 Mar 2024 04:36

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Contributors

Author: Zhong Jie Li
Author: Yi Lan Liao
Author: Sheng Jie Lai ORCID iD
Author: Hong Long Zhang
Author: Chu Chu Ye
Author: Dan Zhao
Author: Lian Mei Jin
Author: Jia Qi Ma
Author: Ya Jia Lan
Author: Jin Feng Wang
Author: Wei Zhong Yang

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