https://socictopen.socict.org/files/original/3417c5f93294ba0e306705e67e587829.pdf 057a3f30d8530d8ae6fa9c9b19e6d3b7 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Predictors Associated with COVID-19 Deaths in Ethiopia Creator An entity primarily responsible for making the resource Alemu Y Description An account of the resource 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 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource covid-19, Ethiopia, Multiple Linear Regression, Predictors Source A related resource from which the described resource is derived Biotemas Publisher An entity responsible for making the resource available Universidade Federal de Santa Catarina Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Public aspects of medicine