Predictors Associated with COVID-19 deaths in Ethiopia

Yenew Alemu Mihret
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引用次数: 1

Abstract

Background: 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 disease in Ethiopia. Subjects & Methods: The source of the data for this study was the 2020 Ethiopia health ministry from March up to July using multiple linear regression models. Results: Among 468,814 total tests, 9,027 recovered, 20,900 confirmed cases, and 365 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. Conclusion: Critical or serious cases significantly and positively affect the deaths of this pandemic disease, while average temperature significantly and negatively affects the deaths of COVID-19 diseases in Ethiopia.
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与埃塞俄比亚COVID-19死亡相关的预测因素
背景:冠状病毒病是由一种新发现的冠状病毒引起的传染病。就COVID-19病例增长和感染比例而言,埃塞俄比亚是受影响最严重的国家之一。本调查的目的是确定埃塞俄比亚COVID-19疾病的决定因素。研究对象与方法:本研究的数据来源是2020年3月至7月的埃塞俄比亚卫生部,采用多元线性回归模型。结果:在埃塞俄比亚总共进行的468,814次检测中,9027人康复,20,900例确诊病例,365人死于冠状病毒疾病。危重病例(β= 0.570, p= 0.006)和平均温度(β= -35.061, p= 0.003)变量差异均有统计学意义。结论:埃塞俄比亚的危重病例对COVID-19疾病死亡人数有显著的积极影响,而平均气温对COVID-19疾病死亡人数有显著的消极影响。
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