On COVID-19 Epidemic Prevention Policy Based on Matrix Game and Sentiment Analysis

Huanyu Wan () and Dong Qiu
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Huanyu Wan: School of Mathematics and Statistics, Ningbo University, Ningbo 315211, P. R. China
Dong Qiu: School of Mathematics and Information Science, Guangxi University, Nanning 530004, P. R. China3College of Sciences, Chongqing University of Posts and Telecommunications, Nanan, Chongqing 400065, P. R. China

International Journal of Information Technology & Decision Making (IJITDM), 2025, vol. 24, issue 07, 1941-1969

Abstract: Effectively combating the 2019 coronavirus disease (COVID-19), pandemic relies not only on robust governmental policies but also on the active cooperation of the populace. In order to formulate rational and effective preventive policies, this study proposes an interval 2-tuple linguistic matrix game method and defines an interval 2-tuple linguistic scoring function. Building upon this framework, the study employs sentiment analysis based on the BosonNLP sentiment dictionary to extract and calculate textual scores from user comments on COVID-19 pandemic-related topics in Weibo. These two approaches are then integrated and applied to policy decision-making for the COVID-19 situation in the Shanghai region. Finally, the matrix game method is used to find the optimal prevention and control strategy in Shanghai during the epidemic period. The first is “Implement citywide preventive measures†, the second is “Implement traffic control combined with regional control policy†, and the last is “Implement the home quarantine policy†.

Keywords: Matrix game; COVID-19; sentiment analysis; pandemic prevention policy (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1142/S0219622025500270

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