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Knowledge, attitude, practice towards COVID-19 pandemic and its prevalence among hospital visitors at Ataye district hospital, Northeast Ethiopia

Coronavirus disease 19 (COVID-19) is currently a global health threat and public health emergency of international concern. Africa is the last continent to be hit by this pandemic and the population is still prone to misconceptions and may not take it seriously. In developing countries including Eth...

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Bibliographic Details
Published in:PloS one 2021-02, Vol.16 (2), p.e0246154
Main Authors: Gebretsadik, Daniel, Ahmed, Nuru, Kebede, Edosa, Gebremicheal, Saba, Belete, Melaku Ashagrie, Adane, Metadel
Format: Article
Language:English
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Summary:Coronavirus disease 19 (COVID-19) is currently a global health threat and public health emergency of international concern. Africa is the last continent to be hit by this pandemic and the population is still prone to misconceptions and may not take it seriously. In developing countries including Ethiopia, where trained human resources and equipment for the treatment of COVID-19 are scarce, working on prevention of the viral spread should be a priority as a feasible intervention strategy. The aim of this study was to determine the level of knowledge, attitude, practice (KAP) towards COVID-19 and its prevalence among hospital visitors. Health institution based cross sectional study was conducted among 513 hospital visitors who are recruited by using simple random sampling technique at Ataye district hospital, Northeast Ethiopia from June 3, 2020 to August 10, 2020. A pre-tested structured questionnaire was used to obtain information related to socio-demographic characteristics, knowledge (11 questions), attitude (9 questions) and practice (9 questions). Oro-pharyngeal specimen was collected by trained healthcare provider and processed in a molecular laboratory. After extraction of viral nucleic acid, the Real-time fluorescent polymerase chain reaction (RT-PCR) kit was used for detecting novel coronavirus (2019-nCoV). Data was analyzed using bi-variable and multivariable logistic regression model with 95% CI (confidence interval). From the bi-variable analysis, variables having a P-value
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0246154