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PLoS One . Community's perceived high risk of coronavirus infections during early phase of epidemics are significantly influenced by socio-demograph

tetano

Editor, Senior Moderator
PLoS One


. 2020 Nov 19;15(11):e0242654.
doi: 10.1371/journal.pone.0242654. eCollection 2020.
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


Gebisa Guyasa Kabito[SUP] 1 [/SUP], Mekuriaw Alemayehu[SUP] 1 [/SUP], Tesfaye Hambisa Mekonnen[SUP] 1 [/SUP], Sintayehu Daba Wami[SUP] 1 [/SUP], Jember Azanaw[SUP] 1 [/SUP], Tsegaye Adane[SUP] 1 [/SUP], Zelalem Nigussie Azene[SUP] 2 [/SUP], Mehari Woldemariam Merid[SUP] 3 [/SUP], Atalay Goshu Muluneh[SUP] 3 [/SUP], Demiss Mulatu Geberu[SUP] 4 [/SUP], Getahun Molla Kassa[SUP] 3 [/SUP], Melaku Kindie Yenit[SUP] 3 [/SUP], Sewbesew Yitayih Tilahun[SUP] 5 [/SUP], Kassahun Alemu Gelaye[SUP] 3 [/SUP], Habtamu Sewunet Mekonnen[SUP] 6 [/SUP], Abere Woretaw Azagew[SUP] 6 [/SUP], Chalachew Adugna Wubneh[SUP] 7 [/SUP], Getaneh Mulualem Belay[SUP] 7 [/SUP], Nega Tezera Assimamaw[SUP] 7 [/SUP], Chilot Desta Agegnehu[SUP] 8 [/SUP], Telake Azale[SUP] 9 [/SUP], Animut Tagele Tamiru[SUP] 10 [/SUP], Bayew Kelkay Rade[SUP] 10 [/SUP], Eden Bishaw Taye[SUP] 11 [/SUP], Asefa Adimasu Taddese[SUP] 3 [/SUP], Zewudu Andualem[SUP] 1 [/SUP], Henok Dagne[SUP] 1 [/SUP], Kiros Terefe Gashaye[SUP] 12 [/SUP]



Affiliations

Abstract

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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