The University of Southampton
University of Southampton Institutional Repository

Evaluation of the performance of a dengue outbreak detection tool for China

Evaluation of the performance of a dengue outbreak detection tool for China
Evaluation of the performance of a dengue outbreak detection tool for China
An outbreak detection and response system, using time series moving percentile method based on historical data, in China has been used for identifying dengue fever outbreaks since 2008. For dengue fever outbreaks reported from 2009 to 2012, this system achieved a sensitivity of 100%, a specificity of 99.8% and a median time to detection of 3 days, which indicated that the system was a useful decision tool for dengue fever control and risk-management programs in China.
1932-6203
e106144-[5pp]
Zhang, Honglong
35d0ccf0-0422-4fcd-a949-a74a83f75e51
Li, Zhongjie
f89a98f7-f6d3-4312-995a-bc658ae9a93f
Lai, Shengjie
b57a5fe8-cfb6-4fa7-b414-a98bb891b001
Clements, Archie C.A.
e1cd8912-66b0-4b99-8167-b68ca3d42ec4
Wang, Liping
ef5828b8-d874-42db-bb25-713890281af2
Yin, Wenwu
08baf5f0-df1b-4e67-b251-427ba3bce1b4
Zhou, Hang
e6311e21-1708-41e9-ac9b-bfdd834102b9
Yu, Hongjie
f6a43c0c-0da8-4124-bd15-cd832d6fee7c
Hu, Wenbiao
ac87e378-67ae-4fa0-abf1-4cefcb0870f9
Yang, Weizhong
65d18fbc-d752-42a7-ac38-01534ceda15c
Zhang, Honglong
35d0ccf0-0422-4fcd-a949-a74a83f75e51
Li, Zhongjie
f89a98f7-f6d3-4312-995a-bc658ae9a93f
Lai, Shengjie
b57a5fe8-cfb6-4fa7-b414-a98bb891b001
Clements, Archie C.A.
e1cd8912-66b0-4b99-8167-b68ca3d42ec4
Wang, Liping
ef5828b8-d874-42db-bb25-713890281af2
Yin, Wenwu
08baf5f0-df1b-4e67-b251-427ba3bce1b4
Zhou, Hang
e6311e21-1708-41e9-ac9b-bfdd834102b9
Yu, Hongjie
f6a43c0c-0da8-4124-bd15-cd832d6fee7c
Hu, Wenbiao
ac87e378-67ae-4fa0-abf1-4cefcb0870f9
Yang, Weizhong
65d18fbc-d752-42a7-ac38-01534ceda15c

Zhang, Honglong, Li, Zhongjie, Lai, Shengjie, Clements, Archie C.A., Wang, Liping, Yin, Wenwu, Zhou, Hang, Yu, Hongjie, Hu, Wenbiao and Yang, Weizhong (2014) Evaluation of the performance of a dengue outbreak detection tool for China. PLoS ONE, 9 (8), e106144-[5pp]. (doi:10.1371/journal.pone.0106144). (PMID:25170873)

Record type: Article

Abstract

An outbreak detection and response system, using time series moving percentile method based on historical data, in China has been used for identifying dengue fever outbreaks since 2008. For dengue fever outbreaks reported from 2009 to 2012, this system achieved a sensitivity of 100%, a specificity of 99.8% and a median time to detection of 3 days, which indicated that the system was a useful decision tool for dengue fever control and risk-management programs in China.

Text
__userfiles.soton.ac.uk_Users_slb1_mydesktop_fetchObject.action.pdf - Other
Available under License Creative Commons Attribution.
Download (290kB)

More information

Accepted/In Press date: 28 July 2014
Published date: 29 August 2014
Organisations: WorldPop, Population, Health & Wellbeing (PHeW)

Identifiers

Local EPrints ID: 373592
URI: http://eprints.soton.ac.uk/id/eprint/373592
ISSN: 1932-6203
PURE UUID: 6df4f7f0-4e94-4761-9583-f05978e3d402
ORCID for Shengjie Lai: ORCID iD orcid.org/0000-0001-9781-8148

Catalogue record

Date deposited: 26 Jan 2015 11:06
Last modified: 15 Mar 2024 04:02

Export record

Altmetrics

Contributors

Author: Honglong Zhang
Author: Zhongjie Li
Author: Shengjie Lai ORCID iD
Author: Archie C.A. Clements
Author: Liping Wang
Author: Wenwu Yin
Author: Hang Zhou
Author: Hongjie Yu
Author: Wenbiao Hu
Author: Weizhong Yang

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.

×