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Due to the increasing amount of new information that is emerging about COVID-19, traditional and web-based information sources are commonly used to spread and seek information. This study compared differences in information seeking, trust of information sources, and use of protective behaviors (e.g., mask wearing) among individuals in the US and China during the COVID-19 pandemic. A total of 722 valid responses in the US and 493 valid responses in China were collected via online surveys in May 2020. Pearson's Chi-square tests, independent samples t-tests, and multiple linear regressions were used to conduct the analyses. Results showed that US respondents accessed significantly fewer COVID-19 information sources, rated significantly lower levels of trust in these sources, and reported significantly lower levels of protective behaviors than the Chinese respondents. In both countries, trust in newspapers, radio/community broadcasting, and news portals were significantly positively correlated with protective behaviors. While trust of TV was significant in both populations, in China it was positively correlated, whereas in the US was negatively correlated, with protective behaviors. Findings from this study showed that coordinated and consistent messages from governmental officials, health authorities, and media platforms are important to promote and encourage protective behaviors. [ABSTRACT FROM AUTHOR]

This study extends the Comprehensive Model of Information Seeking (CMIS) to online health information seeking in the context of India. This study considers the Internet (i.e., media) use an antecedent factor and the personal relevance factor salience is separated into two dimensions - susceptibility and severity. Structural equation modeling analysis (N = 990) tested the associations between health-related antecedents, information-carrier factors, and their direct effects on online information seeking. The results among online health information seekers in India showed significant relationships between length and frequency of media use and self-efficacy to engage in preventive behavior to the information carrier utility. As predicted, demographics have no significant relationship with utility of the Internet, and direct experience with illness resulted in negative relationship with the Internet utility. Contrary to expectations, susceptibility and severity produced negative relationships with the Internet utility. Result shows that both information-carrier factors - characteristics related to trust and utility related to perceived usefulness and relevance of information - directly affect online health-information-seeking behavior. Unlike the original CMIS that primarily focused on specific illnesses, the current modified CMIS can be adapted and tailored to general online health-information-seeking behavior. [ABSTRACT FROM AUTHOR]