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Community’s perceived high risk of coronavirus infections during early phase of epidemics are significantly influenced by socio-demographic background, in Gondar City, Northwest Ethiopia: A cross-sectional -study

PLoS ONE, Volume 15, No. 11 November, Article e0242654, Year 2020

Background Epidemiological studies during the early phase of the coronavirus (COVID-19) pandemics reported different level of people’s risk perception in different countries. There is a paucity of data on perceived high risk of COVID-19 and associated factors in Ethiopia. We sought to assess the prevalence of community’s perceived high risk about COVID-19 infections and associated factors among Gondar town community. Methods A cross-sectional study was carried out from April 20 to 27, 2020 in Gondar town community, Northwest Ethiopia. Multistage cluster sampling technique was used to recruit 635 participants. Structured and pre-tested questionnaire was used to collect the data. Descriptive statistics, bivariate and multivariable binary logistic regression were used to summarize the results. Results A total of 623 participants were considered in the analysis with a response rate of 98.1%. The prevalence of coronavirus high risk perceptions of the respondents was found to be 23.11% (95% CI; 19.80%–26.43%). Age above 45 years (AOR = 1.41, 95%CI; 1.19–2.66), college and above educational level (AOR = 0.28, 95%CI; 0.21–0.98), and poor knowledge towards COVID-19 virus (AOR = 1.57, 95%CI; 1.09–2.23) were significantly associated with perceived high risk about COVID-19. Conclusions The prevalence of perceived high risk of COVID-19 was found to be low. Factors such as age, educational status, and knowledge about COVID-19 virus were found to be independent predictors of perceived high risk towards COVID-19. Government and non-government organizations should use formal and informal means of educating the community.

Statistics
Citations: 28
Authors: 28
Affiliations: 1
Identifiers
Research Areas
Covid
Study Design
Cross Sectional Study
Study Approach
Quantitative
Study Locations
Ethiopia