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Research Articles

A big data analysis on the five dimensions of emergency management information in the early stage of COVID-19 in China

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Pages 213-233 | Received 13 Mar 2020, Accepted 14 Mar 2020, Published online: 21 Apr 2020
 

Abstract

The all-round and multilevel responses to the epidemic, with professional medical institutions, the governments and the public as the main agents of response and the media as the bridge of communication, are key to developing the public health emergency management system with regard to emerging infectious diseases and diseases with unknown etiology in the information age. This study creates an analysis framework concerning the five dimensions of information—the epidemic itself and the medical, governmental, public and media responses—and analyzes the evolution, interaction and trends of five dimensions using big data within the period of observation For the four dimensions other than the media response, the level of information related to the epidemic and the medical response is relatively high, while the level of response by medical institutions and the governments are similar, and both are higher than the public response. The media coverage of the epidemic remains at a high level of information. In relation to such diseases, the government should take the role of big data analytics seriously, lead a multi-agent social collaboration network, and further strengthen the ‘One Planning Plus Three Systems’ framework related to emergency management in China.

Notes

Acknowledgements

The authors thank Xue Lan, Xia Chenghua, Lv Xiaoli, Cao Feng and other researchers from the Center for Crisis Management Research for their advice and thank Li Qinglong and Zhao Chong from Beijing Intelligent Starshine Information Technology Co., Ltd. for their cooperative analysis of internet data. The article’s language was edited with the assistance from Liang Yining, Lian Ruihua and Yang Lin. The authors express the heartfelt thanks to all of them.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Notes

1 Peng et al., “A Big Data Analysis on ‘Wu Qing’ of Emergency Management Information in the Early Stage of COVID-19 in China,” 6–20.

2 Tong, “Discussion on the Interdisciplinary Study,” 94–99.

3 Tong and Ding, “Big Data Analysis,” 28–35.

4 Shao, Wu, and Peng, “Big Data Research in Emergency Management,” 129–136.

5 Goodchild and Glennon, “Crowdsourcing Geographic Information,” 231–241.

6 Sutton, Johnson, and Gibson, “Warning Tweets,” 765–787.

7 Sutton, League, and Sellnow, “Terse Messaging and Public Health,” 135–143.

8 Qu, Wu, and Wang, “Online Community Response,” 1–11.

9 Ginsberg et al., “Detecting Influenza Epidemics,” 1012–1014.

10 Signorini, Segre, and Polgreen, “The Use of Twitter,” e19467.

11 Woo et al., “Estimating Influenza Outbreaks,” e177.

12 Guo et al., “Monitoring Seasonal Influenza Epidemics,” 1–11.

13 Lali et al., “Finding Healthcare Issues,” 48–62.

14 Thelwall, Buckley, and Paltoglou, “Sentiment in Twitter events,” 406–418.

15 Tan and Fang, “Research on Network Public Opinion,” 66–70.

16 Zhao and Cheng, “Analysis of Micro-blog Public Opinion,” 148–157.

17 Liu et al., “The Analysis and Policy Recommendations,” 221–229.

18 Kang, “Measurement and Analysis of Public Opinion,” 169–178.

19 Xue and Zhang, “SARS and the Construction of China’s Crisis Management System,” 1–6.

20 Zeng, “Research on Construction of Network Opinion Control Mechanism,” 79–82.

21 Peng, “The Conceptual Framework and Main Assumptions,” 43–51.

Additional information

Funding

This work was supported by the National Key R&D Program of China [grant number 2018YFC0806900] and the National Natural Science Foundation of China [grant numbers 71790611], and the National Social Science Foundation of China [grant number 2018MZD018].

Notes on contributors

Hao Huang

Hao Huang is a PhD Candidate at the School of Public Policy & Management, Tsinghua University, Beijing, China. He is also a full-time researcher of the Center for Crisis Management Research, Tsinghua University. His research focuses on big data and crisis/risk management.

Zongchao Peng

Zongchao Peng is a professor at and the council's chairman of School of Public Policy & Management, Tsinghua University, Beijing, China. He is also the director of the Center for Crisis Management Research and Center for Social Risk Assessment in China, Tsinghua University. He conducts research on crisis/risk management and public policy.

Hongtao Wu

Hongtao Wu is a postdoctoral fellow and research associate in the School of Public Policy & Management, Tsinghua University, Beijing, China. His research focuses on public health crisis management.

Qihui Xie

Qihui Xie is an Associate Professor at the School of Law and Humanities in China University of Mining and Technology (Beijing). She is also an adjunct researcher at the Center for Crisis Management Research, Tsinghua University. Her research focuses on crisis management.

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