Ontology highlight
ABSTRACT: Background
WeChat has become a potent medium for disseminating public health information, especially during the coronavirus disease 2019 (COVID-19) pandemic. WeChat is important for public health organizations when considering users' information needs and preferences to further explore factors that affect user engagement.Methods
We collected data from WeChat official accounts (WOAs) of the Chinese provincial Center for Disease Control and Prevention (CDC) to identify factors affecting and predicting the behavior of user engagement as measured by the level of reading and re-sharing during different phases of the COVID-19 pandemic between January 1, 2019, and December 31, 2020. We used multiple logistic regression analyses to identify features of articles with higher reading
SUBMITTER: Yin M
PROVIDER: S-EPMC10101727 | biostudies-literature | 2023 Apr
REPOSITORIES: biostudies-literature