Predictors Associated with COVID-19 Deaths in Ethiopia
covid-19, Ethiopia, Multiple Linear Regression, Predictors
Yenew Alemu Department of Statistics, College of Natural and Computational Science, Injibara University, Injibara, EthiopiaCorrespondence: Yenew AlemuCollege of Natural and Computational Science, Injibara University, P.O. Box 40, Injibara, EthiopiaTel +251 920255871Email yenewalemu@gmail.comAbstract: 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