The University of Southampton
University of Southampton Institutional Repository

Application and evaluation of signal strength indictor in communicable disease automatic early warning system

Application and evaluation of signal strength indictor in communicable disease automatic early warning system
Application and evaluation of signal strength indictor in communicable disease automatic early warning system

OBJECTIVE: To explore the effect of signal strength indictor (SSI) in improving sensitivity of China Infectious Diseases Automated-alert and Response System (CIDARS).

METHODS: Diarrhea cases in 2007-2011 and early warning signals in 2010-2011 were selected by using random digital table method. Then, SSI and event-related ratio (ER) were calculated. The relationship between ER and SSI was analyzed, and the effect of SSI on ER was explored by using multiple logistic regression analysis.

RESULTS: 9 620 early warning signals in 2010-2011 were generated in two years. Of these, 74, or 0.77% were defined as suspected outbreak signal. The median of SSI related with suspected outbreak signal was 4.0, which was much higher than non-suspected outbreak signal (1.7). ER was significantly correlated with SSI (r=0.917). SSI classification has a good correlation between the ER, ER exceeded 20 after SSI reached 20. The multivariate logistic regression analysis showed OR of SSI related with suspected outbreak signal was 2.52 (95% CI 2.04-3.12). Compared with non-epidemic season, the relationship of SSI and ER in epidemic season was much higher.

CONCLUSION: SSI was closely related with ER. The relationship was much closer in large scale outbreak and epidemic season, and compared to non-epidemic,the effect of epidemic season is more obvious.

0253-9624
184-187
Zhou, Dinglun
4dcccc41-a503-4e9b-aca4-7c06f8ae3bf8
Yang, Weizhong
65d18fbc-d752-42a7-ac38-01534ceda15c
Sun, Qiao
8ccc39da-bd3b-495f-9aa0-fab50b8e881f
Lai, Shengjie
b57a5fe8-cfb6-4fa7-b414-a98bb891b001
Zhang, Honglong
8557347d-5501-40fa-8d22-4db4eb49ac79
Li, Zhongjie
8c060065-5459-449e-a776-29d55614adb7
Lyu, Wei
28964c82-36cc-4565-81b7-9049292d69ff
Lan, Yajia
1c3b4eec-04e2-4852-898d-af5ab6a95b07
Zhou, Dinglun
4dcccc41-a503-4e9b-aca4-7c06f8ae3bf8
Yang, Weizhong
65d18fbc-d752-42a7-ac38-01534ceda15c
Sun, Qiao
8ccc39da-bd3b-495f-9aa0-fab50b8e881f
Lai, Shengjie
b57a5fe8-cfb6-4fa7-b414-a98bb891b001
Zhang, Honglong
8557347d-5501-40fa-8d22-4db4eb49ac79
Li, Zhongjie
8c060065-5459-449e-a776-29d55614adb7
Lyu, Wei
28964c82-36cc-4565-81b7-9049292d69ff
Lan, Yajia
1c3b4eec-04e2-4852-898d-af5ab6a95b07

Zhou, Dinglun, Yang, Weizhong, Sun, Qiao, Lai, Shengjie, Zhang, Honglong, Li, Zhongjie, Lyu, Wei and Lan, Yajia (2016) Application and evaluation of signal strength indictor in communicable disease automatic early warning system. Zhonghua Yu Fang Yi Xue Za Zhi [Chinese Journal of Preventive Medicine], 50 (2), 184-187. (doi:10.3760/cma.j.issn.0253-9624.2016.02.016).

Record type: Article

Abstract

OBJECTIVE: To explore the effect of signal strength indictor (SSI) in improving sensitivity of China Infectious Diseases Automated-alert and Response System (CIDARS).

METHODS: Diarrhea cases in 2007-2011 and early warning signals in 2010-2011 were selected by using random digital table method. Then, SSI and event-related ratio (ER) were calculated. The relationship between ER and SSI was analyzed, and the effect of SSI on ER was explored by using multiple logistic regression analysis.

RESULTS: 9 620 early warning signals in 2010-2011 were generated in two years. Of these, 74, or 0.77% were defined as suspected outbreak signal. The median of SSI related with suspected outbreak signal was 4.0, which was much higher than non-suspected outbreak signal (1.7). ER was significantly correlated with SSI (r=0.917). SSI classification has a good correlation between the ER, ER exceeded 20 after SSI reached 20. The multivariate logistic regression analysis showed OR of SSI related with suspected outbreak signal was 2.52 (95% CI 2.04-3.12). Compared with non-epidemic season, the relationship of SSI and ER in epidemic season was much higher.

CONCLUSION: SSI was closely related with ER. The relationship was much closer in large scale outbreak and epidemic season, and compared to non-epidemic,the effect of epidemic season is more obvious.

This record has no associated files available for download.

More information

Published date: 1 February 2016

Identifiers

Local EPrints ID: 429998
URI: http://eprints.soton.ac.uk/id/eprint/429998
ISSN: 0253-9624
PURE UUID: 69902239-7224-4b33-8cfd-9ae59a2b1514
ORCID for Shengjie Lai: ORCID iD orcid.org/0000-0001-9781-8148

Catalogue record

Date deposited: 09 Apr 2019 16:30
Last modified: 16 Mar 2024 04:36

Export record

Altmetrics

Contributors

Author: Dinglun Zhou
Author: Weizhong Yang
Author: Qiao Sun
Author: Shengjie Lai ORCID iD
Author: Honglong Zhang
Author: Zhongjie Li
Author: Wei Lyu
Author: Yajia Lan

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×