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传染病暴发早期预警模型和预警系统概述与展望

传染病暴发早期预警模型和预警系统概述与展望
传染病暴发早期预警模型和预警系统概述与展望
This paper summarizes the basic principles and models of early warning for infectious disease outbreaks, introduces the early warning systems for infectious disease based on different data sources and their applications, and discusses the application potential of big data and their analysing techniques, which have been studied and used in the prevention and control of COVID-19 pandemic, including internet inquiry, social media, mobile positioning, in the early warning of infectious diseases in order to provide reference for the establishment of an intelligent early warning mechanism and platform for infectious diseases based on multi-source big data.
Big data, Covid-19, Early warning model, Early warning system, Emerging infectious disease
0254-6450
1330-1335
Lai, Shengjie
b57a5fe8-cfb6-4fa7-b414-a98bb891b001
Feng, Luzhao
5842cd78-bfa7-40d1-ae76-92ca4bf70c4d
Leng, Zhiwei
8674198d-de3d-4950-bdf5-1760658c09bb
Lu, Xin
a681bac0-d6d1-4e8e-a642-4ce42ae2cc9d
Li, Ruiyun
7e8e3fb7-6ff7-47db-850e-3177737da102
Yin, Ling
fe6cda57-b1f7-4adb-878a-fa9909bba1bf
Luo, Wei
c76a8e31-38e7-47cb-bd13-670fc8ab036d
Li, Zhongjie
f89a98f7-f6d3-4312-995a-bc658ae9a93f
Lan, Yajia
1c3b4eec-04e2-4852-898d-af5ab6a95b07
Yang, Weizhong
65d18fbc-d752-42a7-ac38-01534ceda15c
Lai, Shengjie
b57a5fe8-cfb6-4fa7-b414-a98bb891b001
Feng, Luzhao
5842cd78-bfa7-40d1-ae76-92ca4bf70c4d
Leng, Zhiwei
8674198d-de3d-4950-bdf5-1760658c09bb
Lu, Xin
a681bac0-d6d1-4e8e-a642-4ce42ae2cc9d
Li, Ruiyun
7e8e3fb7-6ff7-47db-850e-3177737da102
Yin, Ling
fe6cda57-b1f7-4adb-878a-fa9909bba1bf
Luo, Wei
c76a8e31-38e7-47cb-bd13-670fc8ab036d
Li, Zhongjie
f89a98f7-f6d3-4312-995a-bc658ae9a93f
Lan, Yajia
1c3b4eec-04e2-4852-898d-af5ab6a95b07
Yang, Weizhong
65d18fbc-d752-42a7-ac38-01534ceda15c

Lai, Shengjie, Feng, Luzhao, Leng, Zhiwei, Lu, Xin, Li, Ruiyun, Yin, Ling, Luo, Wei, Li, Zhongjie, Lan, Yajia and Yang, Weizhong (2021) 传染病暴发早期预警模型和预警系统概述与展望. Chinese Journal of Epidemiology, 42 (8), 1330-1335, [391]. (doi:10.3760/cma.j.cn112338-20210512-00391).

Record type: Article

Abstract

This paper summarizes the basic principles and models of early warning for infectious disease outbreaks, introduces the early warning systems for infectious disease based on different data sources and their applications, and discusses the application potential of big data and their analysing techniques, which have been studied and used in the prevention and control of COVID-19 pandemic, including internet inquiry, social media, mobile positioning, in the early warning of infectious diseases in order to provide reference for the establishment of an intelligent early warning mechanism and platform for infectious diseases based on multi-source big data.

Text
112338_20210512_00391_H_ - Accepted Manuscript
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More information

Submitted date: 12 May 2021
e-pub ahead of print date: 9 August 2021
Published date: 9 August 2021
Additional Information: Funding Information: early warning mechanism and platform for infectious diseases based on multi-source big data. 【Key words】 Emerging infectious disease; Early warning model; Early warning system; COVID-19; Big data Fund programs: Innovation Fund for Medical Sciences of Chinese Academy of Medical Sciences (2020-I2M-1-001); National Natural Science Foundation of China (81773498, 8241020, 72025405,41771441) Publisher Copyright: © 2021 Chinese Medical Association. All rights reserved.
Alternative titles: Summary and prospect of early warning models and systems for infectious disease outbreaks
Keywords: Big data, Covid-19, Early warning model, Early warning system, Emerging infectious disease

Identifiers

Local EPrints ID: 451277
URI: http://eprints.soton.ac.uk/id/eprint/451277
ISSN: 0254-6450
PURE UUID: a3632bdf-2931-47b9-b5bf-ff136058cf51
ORCID for Shengjie Lai: ORCID iD orcid.org/0000-0001-9781-8148

Catalogue record

Date deposited: 16 Sep 2021 16:31
Last modified: 17 Mar 2024 03:52

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Contributors

Author: Shengjie Lai ORCID iD
Author: Luzhao Feng
Author: Zhiwei Leng
Author: Xin Lu
Author: Ruiyun Li
Author: Ling Yin
Author: Wei Luo
Author: Zhongjie Li
Author: Yajia Lan
Author: Weizhong Yang

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