Statistical Analysis of COVID-19 Data in Iraq

Tasnim Hasan Kadhim Albaldawi

doi:10.24996/ijs.2023.64.6.34

Authors

Tasnim Hasan Kadhim Albaldawi Department of Mathematical, College of Science, University of Baghdad, Baghdad, Iraq https://orcid.org/0000-0002-9078-136X

DOI:

https://doi.org/10.24996/ijs.2023.64.6.34

Keywords:

statistical modeling, extreme value distributions, Kolmogorov-Smirnov Test, Anderson-Darling Test, chi-Squared Test

Abstract

The analysis of COVID-19 data in Iraq is carried out. Data includes daily cases and deaths since the outbreak of the pandemic in Iraq on February 2020 until the 28th of June 2022. This is done by fitting some distributions to the data in order to find out the most appropriate distribution fit to both daily cases and deaths due to the COVID-19 pandemic. The statistical analysis includes estimation of the parameters, the goodness of fit tests and illustrative probability plots. It was found that the generalized extreme value and the generalized Pareto distributions may provide a good fit for the data for both daily cases and deaths. However, they were rejected by the goodness of fit test statistics due to the high variability of the data.