Asmaa S. Qaddoori

Department of Mathematics, College of Education for women, University, Tikrit, Iraq

Received: May 12, 2023/ Revised: June 9, 2023/Accepted: June 9, 2023

(✉) Corresponding Author: asmaa.salih@tu.edu.iq.

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.

Keywords: Multiple linear regression, COVID-19, Independent variables, Chronic diseases   

References

Al-Jubouri, S. H. (1990), multiple regression and analysis of variance, Ministry of Higher Education and Scientific Research, Al-Mustansiriya University.

Al-Khathami, A. S. (2018), Violation of the assumption that the data are free of outliers and its impact on the use of multiple linear regression analysis in prediction, the comprehensive multi-knowledge electronic journal for the publication of scientific and educational research (MECSJ).

Al-Masoodi, H. A., Al-Kawaz, S. M., & Abbas, A. A. (2020). Accounting Readings during the Time of COVID-19. International Journal of Multicultural and Multireligious Understanding, 7(5), 158-166.

Al-Rawi, K. M. (1987), Introduction to Regression Analysis, University of Mosul, Ministry of Higher Education and Scientific Research.

Al-Samadouni, H. F. and Al-Sayed, A. M. A. (2021), The impact of the Corona covid-19 pandemic on the level of voluntary disclosure in financial reports with a field study in the Egyptian business environment, Tanta University.

He, H., & Harris, L. (2020). The impact of Covid-19 pandemic on corporate social responsibility and marketing philosophy. Journal of business research, 116, 176-182.

Kazem, A. H. and Al-Dulaimi, M. M. A. (1988), Introduction to Linear Regression Analysis, Directorate of the Books, Printing and Publishing House, University of Mosul.

Kazem, S. K. (2009). Comparison between estimates of the parameters of the multiple linear regression model using the OLS method and the linear goals programming method, Journal of Administration and Economics, Issue 77.

The Arab Organization for Education, Culture and Science, (2020), the Corona pandemic-covid-19 – and its repercussions on the 2030 Sustainable Development Goals, ALECSO Scientific Publication, No. 2.

Tuwaiti, M. and Wail, M. (2014), Methods of Designing and Numbering Field Studies – A Statistical Perspective.

How to cite this article

Qaddoori, A. S. (2023). 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. Science Archives, Vol. 4(2), 147-153. https://doi.org/10.47587/SA.2023.4212

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