ORIGINAL RESEARCH article

Front. Public Health

Sec. Public Health Policy

Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1438854

How online public opinion evolves before and after policy adjustments in response to major public health emergencies

Provisionally accepted
Zhendong  NiuZhendong Niu1Yunyun  GaoYunyun Gao1Xusheng  WuXusheng Wu2Qingyuan  HuQingyuan Hu3*DEHUA  HUDEHUA HU1*
  • 1Department of Biomedical Informatics, School of Life Science, Central South University, Changsha, China
  • 2Shenzhen Health Development Research and Data Management Center, Shenzhen, China
  • 3Third Xiangya Hospital, Central South University, Changsha, Hunan Province, China

The final, formatted version of the article will be published soon.

Background: In recent years, incidents of public opinion triggered by major public health emergencies have emerged endlessly. Existing studies have focused on public attitudes during the early stages of containment measures but lacked research on how public opinion evolves after those measures are relaxed. In late 2022, however, China optimized its COVID‑19 control measures, providing a unique window for this study.Objective: To reveal public attitudes toward the adjustment of response measures for major public health emergencies and how these attitudes evolve over time, and to provide a reference for improving related policies and managing public opinion.Methods: We collected Baidu Index and Weibo post data related to “epidemic prevention and control” between October 11, 2022 and March 15, 2023. Guided by the “Public Opinion Life Cycle Theory,” we analyzed the evolution of public opinion intensity using the Baidu Index. We applied the SKEP model for sentiment analysis on Weibo posts, exploring changes in public sentiment and differences among groups. Additionally, we used the LDA model for topic mining on Weibo posts, examining the evolution of discussion topics and their underlying causes.Results: During the early stages of adjustments to prevention and control measures, public opinion surged but quickly subsided to a level significantly lower than before, following the announcement of more targeted measures. In the long term, the public generally holds a positive attitude toward these adjustments, though negative sentiment may emerge in the short term. Prior to the adjustments, discussions focused on community prevention and control. In the early phase, debates were intense, with expectations for a return to normal life and economic recovery alongside concerns about health risks and medical resources. After a prolonged adjustment period, discussions on economic and daily-life topics increased, but concerns about medication and reinfection risks remained high.Conclusions: To guide the healthy development of public opinion, policymakers should clearly explain the rationale for policy adjustments, promptly address public concerns, and encourage enterprises and opinion leaders to share positive information; additionally, they should ensure sufficient medical resources are secured before implementing policy changes and roll them out in a well‑organized, step‑by‑step manner.

Keywords: Major public health emergencies, epidemic prevention and control policies, Evolution of public opinion, sentiment analysis, LDA model

Received: 27 May 2024; Accepted: 05 May 2025.

Copyright: © 2025 Niu, Gao, Wu, Hu and HU. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Qingyuan Hu, Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan Province, China
DEHUA HU, Department of Biomedical Informatics, School of Life Science, Central South University, Changsha, China

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