Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Mar 18, 2024
Date Accepted: Sep 6, 2024

The final, peer-reviewed published version of this preprint can be found here:

Chinese Public Attitudes and Opinions on Health Policies During Public Health Emergencies: Sentiment and Topic Analysis

Liu M, Yuan S, Li B, Zhang Y, Liu J, Guan C, Chen Q, Ruan J, Xie L

Chinese Public Attitudes and Opinions on Health Policies During Public Health Emergencies: Sentiment and Topic Analysis

J Med Internet Res 2024;26:e58518

DOI: 10.2196/58518

PMID: 39466313

PMCID: 11555446

Chinese Public Attitudes and Opinions on Health Policies During Public Health Emergencies: Sentiment and Topic Analysis

  • Min Liu; 
  • Shuo Yuan; 
  • Bingyan Li; 
  • Yuxi Zhang; 
  • Jia Liu; 
  • Cuixia Guan; 
  • Qingqing Chen; 
  • Jiayi Ruan; 
  • Lunfang Xie

ABSTRACT

Background:

Background:

In public health emergencies, the public's emotions are affected by online public opinion; thus, in-depth studies and analyses are needed. Nucleic acid testing is the gold standard for diagnosing novel coronavirus infections; several cities and regions in China have issued standing nucleic acid testing policies, which have had a great impact on socioeconomics and people's lives, among others, and these policies have attracted widespread attention on social media platforms. Although nucleic acid testing policies are widely recognized, studies on the evolution of public opinion in the process of regularized nucleic acid testing are rare.

Objective:

Objective:

In this study, the normalization of nucleic acid test results during the COVID-19 pandemic are considered as an example with a focus on the sentiment of network public opinion regarding public health emergencies. We analyze the manifestations and changes of public opinion governance in reality, explore strategies for public opinion governance, and provide recommendations and references for future responses to public health emergencies.

Methods:

Methods:

We collected blog posts related to nucleic acid testing on Weibo from April 1, 2022, to July 31, 2022. Python pysenti and scikit-learn were used for the sentiment analysis and LDA topic extraction, respectively.

Results:

Results:

A total of 463,566 pieces of data were collected in this study. Posts with positive, negative, and neutral sentiments accounted for 67.14%, 24.67%, and 8.19%, respectively. LDA topic extraction identified 8 themes, with the largest being the Shanghai outbreak (195,612, 42.20%) and the smallest being hospital visits (2,137, 0.46%). For all topics, posts with positive sentiment consistently outnumbered those with negative sentiment.

Conclusions:

Conclusions:

During public health emergencies, the public's sentiment regarding nucleic acid testing is generally positive, with a wide range of topics of interest. Moreover, the public actively seeks and shares information about nucleic acid testing. The government can respond to online public opinion by establishing early warning tools, by strengthening social media sentiment monitoring, by enhancing communication between the government and the public, and by improving the public opinion information disclosure system.


 Citation

Please cite as:

Liu M, Yuan S, Li B, Zhang Y, Liu J, Guan C, Chen Q, Ruan J, Xie L

Chinese Public Attitudes and Opinions on Health Policies During Public Health Emergencies: Sentiment and Topic Analysis

J Med Internet Res 2024;26:e58518

DOI: 10.2196/58518

PMID: 39466313

PMCID: 11555446

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.