A Study on Epidemic Information Screening, Prevention and Control of Public Opinion Based on Health and Medical Big Data: A Case Study of COVID-19

Jinhai Li (), Yunlei Ma, Xinglong Xu, Jiaming Pei and Youshi He
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Jinhai Li: College of Information Engineering, Taizhou University, Taizhou 225300, China
Yunlei Ma: Department of Personnel, Taizhou University, Taizhou 225300, China
Xinglong Xu: School of Management, Jiangsu University, Zhenjiang 212013, China
Jiaming Pei: School of Computer Science, The University of Sydney, Camperdown, NSW 2006, Australia
Youshi He: School of Management, Jiangsu University, Zhenjiang 212013, China

IJERPH, 2022, vol. 19, issue 16, 1-21

Abstract: The outbreak of the coronavirus disease 2019 (COVID-19) represents an alert for epidemic prevention and control in public health. Offline anti-epidemic work is the main battlefield of epidemic prevention and control. However, online epidemic information prevention and control cannot be ignored. The aim of this study was to identify reliable information sources and false epidemic information, as well as early warnings of public opinion about epidemic information that may affect social stability and endanger the people’s lives and property. Based on the analysis of health and medical big data, epidemic information screening and public opinion prevention and control research were decomposed into two modules. Eight characteristics were extracted from the four levels of coarse granularity, fine granularity, emotional tendency, and publisher behavior, and another regulatory feature was added, to build a false epidemic information identification model. Five early warning indicators of public opinion were selected from the macro level and the micro level to construct the early warning model of public opinion about epidemic information. Finally, an empirical analysis on COVID-19 information was conducted using big data analysis technology.

Keywords: health and medical big data; epidemic; early warning; COVID-19; public opinion; xgboost; subject matrix (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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