PLoS ONE (Jan 2021)

Knowledge and attitude of the communities towards COVID-19 and associated factors among Gondar City residents, northwest Ethiopia: A community based cross-sectional study.

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

DOI
https://doi.org/10.1371/journal.pone.0248821
Journal volume & issue
Vol. 16, no. 4
p. e0248821

Abstract

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BackgroundCOVID-19 is the novel coronavirus responsible for the ongoing global outbreak of acute respiratory disease and viral pneumonia. In order to tackle the devastating condition of the virus, countries need to attack the virus with aggressive and targeted tactics. Thus, to strengthen the COVID-19 mitigation measures and to give rapid response, there is an urgent need to understand the public's knowledge and attitude about of the pandemic at this critical moment.ObjectiveThis study was aimed to assess the knowledge and attitude of communities about COVID-19 and associated factors among Gondar City residents.MethodsA community based cross-sectional study was done among 623 respondents in Gondar city from April 20-27/2020. Data were collected using a structured questionnaire adapted from different literatures. The data were entered using Epi data version 3.1 and then exported into STATA version 14 for analysis. Bi-variable and multivariable binary logistic regression were performed. Adjusted odds ratio with 95% CI was used to declare statistically significant variables on the basis of p value less than 0.05 in the multivariable binary logistic regression model.ResultsThe overall knowledge and attitude of the community towards COVID19 was 51.85% [95% CI (47.91%-55.78%)] and 53.13% [95% CI (49.20, 57.06%)], respectively. In this study, being married [AOR = 0.60 at 95% CI: (0.42, 0.86)], educational level; primary [AOR = 3.14 at 95% CI: (1.78,5.54)], secondary [AOR = 2.81 at 95% CI: (1.70,4.63)], college and above [AOR = 4.49 at 95% CI: 7.92, 13.98)], and family size [AOR = 1.80, at 95% CI: (1.05, 3.08)] were emerged as statistically significant factors impacting the knowledge of the community about COVID-19. Besides, educational level; primary [AOR = 1.76 at 95% CI: (1.03, 3.01)], secondary [AOR = 1.69 at 95% CI: (1.07, 2.68)], and college & above [AOR = 2.38 at 95% CI: (1.50, 3.79)], and family size; four to six members [AOR = 1.84 at 95% CI (1.27, 2.67)], above seven members [AOR = 1.79 at 95% CI (1.08, 2.96)] were factors identified as significantly attribute for positive attitude of the communities towards COVID-19.ConclusionMore than half of the respondents had better knowledge and attitude regarding COVID-19. Higher educational level and larger family size were significant factors predominantly affecting the knowledge and attitude of the communities towards COVID-19.