Your browser doesn't support javascript.
Evolution of Public Attitudes and Opinions Regarding COVID-19 Vaccination During the Vaccine Campaign in China: Year-Long Infodemiology Study of Weibo Posts.
Hong, Yimin; Xie, Fang; An, Xinyu; Lan, Xue; Liu, Chunhe; Yan, Lei; Zhang, Han.
  • Hong Y; School of Health Management, China Medical University, Shenyang, China.
  • Xie F; Medical Basic Experimental Teaching Center, China Medical University, Shenyang, China.
  • An X; School of Health Management, China Medical University, Shenyang, China.
  • Lan X; School of Health Management, China Medical University, Shenyang, China.
  • Liu C; School of Health Management, China Medical University, Shenyang, China.
  • Yan L; School of Health Management, China Medical University, Shenyang, China.
  • Zhang H; School of Health Management, China Medical University, Shenyang, China.
J Med Internet Res ; 25: e42671, 2023 02 16.
Article in English | MEDLINE | ID: covidwho-2263131
ABSTRACT

BACKGROUND:

Monitoring people's perspectives on the COVID-19 vaccine is crucial for understanding public vaccination hesitancy and developing effective, targeted vaccine promotion strategies. Although this is widely recognized, studies on the evolution of public opinion over the course of an actual vaccination campaign are rare.

OBJECTIVE:

We aimed to track the evolution of public opinion and sentiment toward COVID-19 vaccines in online discussions over an entire vaccination campaign. Moreover, we aimed to reveal the pattern of gender differences in attitudes and perceptions toward vaccination.

METHODS:

We collected COVID-19 vaccine-related posts by the general public that appeared on Sina Weibo from January 1, 2021, to December 31, 2021; this period covered the entire vaccination process in China. We identified popular discussion topics using latent Dirichlet allocation. We further examined changes in public sentiment and topics during the 3 stages of the vaccination timeline. Gender differences in perceptions toward vaccination were also investigated.

RESULTS:

Of 495,229 crawled posts, 96,145 original posts from individual accounts were included. Most posts presented positive sentiments (positive 65,981/96,145, 68.63%; negative 23,184/96,145, 24.11%; neutral 6980/96,145, 7.26%). The average sentiment scores were 0.75 (SD 0.35) for men and 0.67 (SD 0.37) for women. The overall trends in sentiment scores showed a mixed response to the number of new cases and significant events related to vaccine development and important holidays. The sentiment scores showed a weak correlation with new case numbers (R=0.296; P=.03). Significant sentiment score differences were observed between men and women (P<.001). Common and distinguishing characteristics were found among frequently discussed topics during the different stages, with significant differences in topic distribution between men and women (January 1, 2021, to March 31, 2021 χ23=3030.9; April 1, 2021, to September 30, 2021 χ24=8893.8; October 1, 2021, to December 31, 2021 χ25=3019.5; P<.001). Women were more concerned with side effects and vaccine effectiveness. In contrast, men reported broader concerns around the global pandemic, the progress of vaccine development, and economics affected by the pandemic.

CONCLUSIONS:

Understanding public concerns regarding vaccination is essential for reaching vaccine-induced herd immunity. This study tracked the year-long evolution of attitudes and opinions on COVID-19 vaccines according to the different stages of vaccination in China. These findings provide timely information that will enable the government to understand the reasons for low vaccine uptake and promote COVID-19 vaccination nationwide.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Social Media / COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid / Vaccines Limits: Female / Humans Country/Region as subject: Asia Language: English Journal: J Med Internet Res Journal subject: Medical Informatics Year: 2023 Document Type: Article Affiliation country: 42671

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Social Media / COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid / Vaccines Limits: Female / Humans Country/Region as subject: Asia Language: English Journal: J Med Internet Res Journal subject: Medical Informatics Year: 2023 Document Type: Article Affiliation country: 42671