Literature DB >> 31818134

Predicting Public Support for Government Actions in a Public Health Crisis: Testing Fear, Organization-Public Relationship, and Behavioral Intention in the Framework of the Situational Theory of Problem Solving.

Myoung-Gi Chon1, Hyojung Park2.   

Abstract

This study aimed to examine a theoretical model to predict publics' communicative actions to take and transmit information from the Centers for Disease Control and Prevention (CDC), as well as their behavioral intentions to follow the CDC's instructions in the context of infectious disease outbreaks. Using the framework of the situational theory of problem-solving (STOPS), this study tested the roles of fear and positive organization-public relationship (OPR), linking STOPS and behavioral intentions to follow CDC instructions. The results of this study suggest that fear and positive OPR variables play vital roles in predicting individuals' information acquisition, information transmission, and willingness to follow the CDC's instructions to cope with infectious diseases.

Entities:  

Year:  2019        PMID: 31818134     DOI: 10.1080/10410236.2019.1700439

Source DB:  PubMed          Journal:  Health Commun        ISSN: 1041-0236


  4 in total

1.  Learning about COVID-19: sources of information, public trust, and contact tracing during the pandemic.

Authors:  Philip S Amara; Jodyn E Platt; Minakshi Raj; Paige Nong
Journal:  BMC Public Health       Date:  2022-07-15       Impact factor: 4.135

2.  The Effects of Governmental and Individual Predictors on COVID-19 Protective Behaviors in China: A Path Analysis Model.

Authors:  Bibing Dai; Di Fu; Guangteng Meng; Bingsheng Liu; Qi Li; Xun Liu
Journal:  Public Adm Rev       Date:  2020-06-28

3.  Sustained Effects of Government Response on the COVID-19 Infection Rate in China: A Multiple Mediation Analysis.

Authors:  Taixiang Duan; Zhonggen Sun; Guoqing Shi
Journal:  Int J Environ Res Public Health       Date:  2021-11-25       Impact factor: 3.390

4.  Exploring the mediating role of government-public relationships during the COVID-19 pandemic: A model comparison approach.

Authors:  Yuan Wang; Yi-Hui Christine Huang; Qinxian Cai
Journal:  Public Relat Rev       Date:  2022-07-15
  4 in total

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