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Predictors Associated with COVID-19 Deaths in Ethiopia

Authors Alemu Y

Received 9 September 2020

Accepted for publication 10 November 2020

Published 27 November 2020 Volume 2020:13 Pages 2769—2772

DOI https://doi.org/10.2147/RMHP.S279695

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 3

Editor who approved publication: Professor Marco Carotenuto


Video abstract presented by Yenew Alemu.

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Yenew Alemu

Department of Statistics, College of Natural and Computational Science, Injibara University, Injibara, Ethiopia

Correspondence: Yenew Alemu
College of Natural and Computational Science, Injibara University, P.O. Box 40, Injibara, Ethiopia
Tel +251 920255871
Email [email protected]

Abstract: Coronavirus disease is an infectious disease that causes a newly discovered coronavirus. Ethiopia is one of the most impacted countries relative to the proportion of COVID-19 case growth and infection. The purpose of this investigation was to identify the determinants of COVID-19 deaths in Ethiopia. The source of the data for this study was the 2020 Ethiopian Ministry of Health from March up to July using multiple linear regression models. Among 468,814 total tests, 9,027 were recovered, 20,900 were confirmed cases, and 365 were deaths from coronavirus diseases in Ethiopia. Critical cases (β= 0.570, p= 0.006) and average temperature (β= − 35.061, p= 0.003) variables were statistically significant. Critical or serious cases significantly and positively affected the deaths from this pandemic disease, while the average temperature significantly and negatively affected the deaths from COVID-19 disease in Ethiopia.

Keywords: COVID-19, predictors, multiple linear regression, Ethiopia

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