Detection of the most important factors affecting the increase in the number of deaths as a result of infection with Covid-19 using the multiple linear regression equation

Asmaa S. Qaddoori
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Abstract

In this research, a multiple linear regression analysis was conducted to identify the parameters of a model using data from individuals who passed away due to COVID-19. The data was collected from various hospitals in Salah al-Din Governorate, including Tikrit Hospital, Baiji Hospital, Shirqat General Hospital, and Samarra Hospital, between April 1st, 2020, and December 30th, 2020. The primary aim of the study was to investigate the primary factors that contribute to the rise in deaths caused by the COVID-19 pandemic, using the multiple linear regression analysis method. The findings indicated that independent variables such as age, place of death, and the deceased person's chronic diseases were the most significant factors in the increase of COVID-19- related deaths, while other variables examined did not have a clear impact.
使用多元线性回归方程检测影响Covid-19感染死亡人数增加的最重要因素
本研究利用COVID-19死亡个体的数据进行多元线性回归分析,以确定模型的参数。这些数据是在2020年4月1日至12月30日期间从萨拉赫丁省的多家医院收集的,包括提克里特医院、拜吉医院、谢尔卡特综合医院和萨马拉医院。本研究的主要目的是利用多元线性回归分析方法,调查导致COVID-19大流行造成的死亡人数上升的主要因素。研究结果表明,年龄、死亡地点和死者的慢性疾病等自变量是导致COVID-19相关死亡人数增加的最重要因素,而其他变量没有明显的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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