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ABSTRACT: Background
Social media has become a new channel for information exchange in recent years. WeChat official account (WOA) is now widely adopted by the Center for Disease Control and Prevention (CDC) for successful information distribution and diffusion online. We aimed to identify features of the most popular articles pushed by WOAs of the China's CDC that are associated with article influence.Methods
The most popular articles per month between January 2017 and December 2019 were collected through the monthly published influence list of the CDC's WOA. Descriptive characteristics of articles were examined and the amount of reads and likes was converted into the WeChat communication index (WCI) which reflected the article's influence. Univariate and multiple linear regression
SUBMITTER: Li Y
PROVIDER: S-EPMC11773070 | biostudies-literature | 2025 Jan
REPOSITORIES: biostudies-literature