Encounter corona virus based on health belief model: A cross-sectional study

 Coronaviruses (CoV) are a large family of viruses that infect humans. Despite some vaccines, non-pharmacological interventions are still an important option to prevent infection.The Health Belief Model (HBM) provides a good framework for examining preventive behaviors. The aim of this study was to investigate anxiety reactions to coronavirus based on the Health Belief Model. 

It was a cross-sectional and online study after COVID-19 approval in Iran. The statistical population of this study was 200 residents of Mashhad who were randomly studied.The data collection tool was an online questionnaire and its validity and reliability were checked and confirmed.Data were analyzed using SPSS. In describing the data, mean indices, standard deviation, frequency distribution tables and graphs were used. Statistical data were analyzed using Kolmogorov-Smirnov and Man-Whitney U, Kruskal-Wallis and Spearman tests.

  In this study, there is a significant relationship between anxiety reactions and health belief model instruments (P> 0.05), except for the structure of perceived benefits, which has no significant relationship with anxiety reactions. Radio and television are the main system of reminders.

  The results showed that according to the HBM model, people perform better preventive behaviors when they feel exposed to the corona virus.