Article: The impact of epidemic information on the public's worries and attitude toward epidemic prevention measures during the COVID-19 outbreak.
Current psychology (New Brunswick, N.J.)
2021 Volume 42, Issue 1, Page(s) 145–153
Abstract: Since the outbreak of 2019 coronavirus disease (COVID-19) in December 2019, the Chinese government has implemented effective epidemic prevention measures. To provide useful information for governments to manage this public health crisis, we conducted an ... ...
Abstract | Since the outbreak of 2019 coronavirus disease (COVID-19) in December 2019, the Chinese government has implemented effective epidemic prevention measures. To provide useful information for governments to manage this public health crisis, we conducted an online survey among Chinese general population from February 24 to 28, 2020. In this study, we examined the impact of epidemic information and rumors on public's worries and attitude toward prevention measures during the outbreak of COVID-19. A total of 853 valid questionnaires (641 women, 75.1%) were collected from 24 provincial regions in China. Most respondents' ages ranged from 18 to 60 (833 participants, 97.66%). A mediation model was built to analyze the influence of epidemic information and rumors on worries and attitude. The results showed that the amount of epidemic information positively predicted public's worries, which in turn predicted a supportive attitude toward the prevention measures. Worries partially mediated the relationship between the amount of epidemic information and the supportive attitude. The amount of rumors negatively predicted the supportive attitude. The results of this study implied the importance of timely and credible information providing to evoke a certain level of worry and promote public cooperation, and the necessary attention to refute and resist rumors for effective risk communication in a public health crisis. |
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Language | English |
Publishing date | 2021-01-28 |
Publishing country | United States |
Document type | Journal Article |
ZDB-ID | 2021598-8 |
ISSN | 1936-4733 ; 1046-1310 |
ISSN (online) | 1936-4733 |
ISSN | 1046-1310 |
DOI | 10.1007/s12144-021-01364-9 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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