Using Linear Regression Analysis to Study the Recovery Cases of COVID 19 in Erbil, Kurdistan Region

Authors

  • Salisu Ibrahim, Mowafaq Muhammed Al-Kassab

Abstract

This paper studies the statistical analysis of COVID 19 in Erbil, Kurdistan region by considering multiple regression model. we present the details analysis of COVID 19 in Erbil, Kurdistan using statistical model (multiple regression analysis). The regression model is used to predict the recovery cases of COVID 19 in Erbil, Kurdistan. Based on our findings from the regression model, we observed a significant difference in the regression coefficient of the model. Also, the higher the number of test patient leads to the higher number of recovery patient, moreover, there is a lesser effect in the recovery rate compared with the fatality cases. Lastly, we came up with some suggestions that will curb the spreading of COVID 19, increase the number of recovery cases, control the higher number of death cases, and prevent the future occurrence of COVID 19 in Erbil, Kurdistan region.

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Published

2021-08-04

How to Cite

Salisu Ibrahim, Mowafaq Muhammed Al-Kassab. (2021). Using Linear Regression Analysis to Study the Recovery Cases of COVID 19 in Erbil, Kurdistan Region. Drugs and Cell Therapies in Hematology, 10(1), 1226–1239. Retrieved from http://dcth.org/index.php/journal/article/view/243

Issue

Vol. 10 No. 1 (2021)

Section

Articles