The University of Southampton
University of Southampton Institutional Repository

The application of China Infectious Diseases Automated-alert and Response System in Zhejiang province, 2012

The application of China Infectious Diseases Automated-alert and Response System in Zhejiang province, 2012
The application of China Infectious Diseases Automated-alert and Response System in Zhejiang province, 2012

OBJECTIVE: To analyze and evaluate the application of China Infectious Diseases Automated-alert and Response System(CIDARS)in Zhejiang province.

METHODS: Data through the monitoring program in 2012 was analyzed descriptively and compared with the incidence data in the same period as well information related to public health emergency events.

RESULTS: A total of 14 292 signals were generated on 28 kinds of infectious diseases in the system, in Zhejiang province. 100% of the signals had been responded and the median time to response was 0.81 hours. 123 signals (0.86%)were preliminarily verified as suspected outbreaks and 33 outbreaks were finally confirmed by further field investigation, with a positive ratio of 0.23% . Information related to regional distribution showed significant differences which reflecting a positive correlation between the numbers of diseases and the time of early-warning(r = 0. 97, P < 0.01). Distribution of information related to different types of diseases was also significantly different, showing a positive correlation between the prevalent strength of the disease and the amount of information in a specific area(r = 0.80, P < 0.01).

CONCLUSION: CIDARS had a good performance which could be used to assist the local public health institutions on early detection of possible outbreaks at the early stage. However, the effectiveness was different for different regions and diseases.

0254-6450
594-597
Lu, Qin bao
7986142c-1ee8-4a02-b154-6a578dac2d31
Xu, Xu qing
a8ed7598-8906-4bd7-ace5-ec0704f0ca8e
Lin, Jun fen
decb2fc8-275f-4eac-acc1-1a98d8b0035f
Wang, Zhen
964f3b2e-0c55-4cf4-add6-6fc7afb8fbdd
Zhang, Hong long
8557347d-5501-40fa-8d22-4db4eb49ac79
Lai, Sheng jie
b57a5fe8-cfb6-4fa7-b414-a98bb891b001
He, Fan
dec879ea-f18e-4410-a68e-20d411aabebe
Wu, Hao cheng
16dc0588-5a40-4534-bb0b-c6a08eab173d
Zeng, Bei bei
651c4522-ad5c-44b5-9e1d-245f983d4a5e
Lu, Qin bao
7986142c-1ee8-4a02-b154-6a578dac2d31
Xu, Xu qing
a8ed7598-8906-4bd7-ace5-ec0704f0ca8e
Lin, Jun fen
decb2fc8-275f-4eac-acc1-1a98d8b0035f
Wang, Zhen
964f3b2e-0c55-4cf4-add6-6fc7afb8fbdd
Zhang, Hong long
8557347d-5501-40fa-8d22-4db4eb49ac79
Lai, Sheng jie
b57a5fe8-cfb6-4fa7-b414-a98bb891b001
He, Fan
dec879ea-f18e-4410-a68e-20d411aabebe
Wu, Hao cheng
16dc0588-5a40-4534-bb0b-c6a08eab173d
Zeng, Bei bei
651c4522-ad5c-44b5-9e1d-245f983d4a5e

Lu, Qin bao, Xu, Xu qing, Lin, Jun fen, Wang, Zhen, Zhang, Hong long, Lai, Sheng jie, He, Fan, Wu, Hao cheng and Zeng, Bei bei (2013) The application of China Infectious Diseases Automated-alert and Response System in Zhejiang province, 2012. Zhonghua Liu Xing Bing Xue Za Zhi, 34 (6), 594-597. (doi:10.3760/cma.j.issn.0254-6450.2013.06.013).

Record type: Article

Abstract

OBJECTIVE: To analyze and evaluate the application of China Infectious Diseases Automated-alert and Response System(CIDARS)in Zhejiang province.

METHODS: Data through the monitoring program in 2012 was analyzed descriptively and compared with the incidence data in the same period as well information related to public health emergency events.

RESULTS: A total of 14 292 signals were generated on 28 kinds of infectious diseases in the system, in Zhejiang province. 100% of the signals had been responded and the median time to response was 0.81 hours. 123 signals (0.86%)were preliminarily verified as suspected outbreaks and 33 outbreaks were finally confirmed by further field investigation, with a positive ratio of 0.23% . Information related to regional distribution showed significant differences which reflecting a positive correlation between the numbers of diseases and the time of early-warning(r = 0. 97, P < 0.01). Distribution of information related to different types of diseases was also significantly different, showing a positive correlation between the prevalent strength of the disease and the amount of information in a specific area(r = 0.80, P < 0.01).

CONCLUSION: CIDARS had a good performance which could be used to assist the local public health institutions on early detection of possible outbreaks at the early stage. However, the effectiveness was different for different regions and diseases.

This record has no associated files available for download.

More information

Published date: 1 June 2013
Additional Information: Chinese Journal of Epidemiology

Identifiers

Local EPrints ID: 429997
URI: http://eprints.soton.ac.uk/id/eprint/429997
ISSN: 0254-6450
PURE UUID: 7b3b127f-f1ae-40da-b956-b587adaebbf7
ORCID for Sheng jie Lai: ORCID iD orcid.org/0000-0001-9781-8148

Catalogue record

Date deposited: 09 Apr 2019 16:30
Last modified: 06 Jun 2024 02:03

Export record

Altmetrics

Contributors

Author: Qin bao Lu
Author: Xu qing Xu
Author: Jun fen Lin
Author: Zhen Wang
Author: Hong long Zhang
Author: Sheng jie Lai ORCID iD
Author: Fan He
Author: Hao cheng Wu
Author: Bei bei Zeng

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.

×