Selected article for: "binary logistic regression and educational level"
Author: Kabito, Gebisa Guyasa; Alemayehu, Mekuriaw; Mekonnen, Tesfaye Hambisa; Daba Wami, Sintayehu; Azanaw, Jember; Adane, Tsegaye; Azene, Zelalem Nigussie; Merid, Mehari Woldemariam; Muluneh, Atalay Goshu; Geberu, Demiss Mulatu; Kassa, Getahun Molla; Yenit, Melaku Kindie; Tilahun, Sewbesew Yitayih; Gelaye, Kassahun Alemu; Mekonnen, Habtamu Sewunet; Azagew, Abere Woretaw; Wubneh, Chalachew Adugna; Belay, Getaneh Mulualem; Assimamaw, Nega Tezera; Agegnehu, Chilot Desta; Azale, Telake; Tamiru, Animut Tagele; Rade, Bayew Kelkay; Taye, Eden Bishaw; Taddese, Asefa Adimasu; Andualem, Zewudu; Dagne, Henok; Gashaye, Kiros Terefe
Title: 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
  • Cord-id: 0kfsh7lk
  • Document date: 2020_11_19
    • ID: 0kfsh7lk
    Snippet: 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
    Document: 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.

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