Construction of public protective action decision model in a city with COVID-19

Objective To explore the key influencing factors of public protective action from the angle of risk perception, protective cognition and authority trust so as to build the public protective action decision model in city with corona virus disease (COVID-19). Methods From 2ed February 2020 to 6th February 2020, we carried out cross-sectional investigation among 1 201 publics selected by convenience sampling with the "Wen Juan Xing" electronic questionnaire collection system. The investigation tool included the general information questionnaire and the COVID-19 public protective decision-making scale. SPSS 22.0 was used to data statistics and AMOS 23.0 was applied to explore correlations among four variables, risk perception, protective cognition, authority trust and protective action, so as to build the COVID-19 public protective action decision model. Results The structural equation model had a high level of goodness-of-fit, the direct effect of risk perception on protective action was 0.410; the direct effect of protective cognition on protective action was 0.070; the total effect of authority trust on protective action was 0.377. Conclusions In China, the public have good compliance of protective action. The model can effectively forecast the protective action of COVID-19 among city publics. Key words: COVID-19; Public protection decision-making; Model building