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10.1111/aphw.12222

http://scihub22266oqcxt.onion/10.1111/aphw.12222
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32875730!ä!32875730

suck abstract from ncbi


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pmid32875730      Appl+Psychol+Health+Well+Being 2020 ; 12 (4): 1000-1018
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  • Heterogeneous Risk Perception amid the Outbreak of COVID-19 in China: Implications for Economic Confidence #MMPMID32875730
  • Yang Z; Xin Z
  • Appl Psychol Health Well Being 2020[Dec]; 12 (4): 1000-1018 PMID32875730show ga
  • BACKGROUND: The ongoing coronavirus disease 2019 (COVID-19) outbreak has elicited concerns about public fear and economic fallout. The current study takes a person-oriented approach to identify the unique response patterns that underlie three risk perception components (likelihood, severity, and protection efficacy) of COVID-19, with information sources as precursors and economic confidence as outcomes. METHODS: A total of 1,074 Chinese citizens participated in a national online survey in early February 2020. RESULTS: A latent profile analysis showed that participants exhibited one of three classes: Risk Neutrals (49.9%; moderate in all components), Risk Deniers (14.3%; low likelihood, low severity, and high protection efficacy), or Risk Exaggerators (35.8%; high likelihood, high severity, and low protection efficacy). Subsequent analyses showed that reliance on unofficial sources (gossip and news spread among friends; WeChat) positively correlated with membership in the Risk Exaggerators class. In turn, belonging in the Risk Exaggerators class correlated with the lowest short-term (but not long-term) economic confidence. CONCLUSIONS: This study suggests that exploring the heterogeneity of the public risk perception might help the government to design differentiated risk communication strategies during the COVID-19 outbreak.
  • |*COVID-19[MESH]
  • |*Socioeconomic Factors[MESH]
  • |Adolescent[MESH]
  • |Adult[MESH]
  • |Aged[MESH]
  • |China[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Information Seeking Behavior[MESH]
  • |Internet[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Risk Assessment/*statistics & numerical data[MESH]
  • |Social Media[MESH]
  • |Surveys and Questionnaires[MESH]


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