On Investigation of the Best Model selection for Modeling the Covid-19 Mortality rates in KSA

Background: The Covid-19 disease belong to the family of Coronaviridae viruses which has an impact in both animals and humans. The first case of this virus in human (in Wuhan) was linked due to the local live animal and later on the virus spread in humans due to the social contacts, coughing, and sneezing etc. Since then the virus defying the borders of countries and rapidly the livelihood, mental health and the world economic growth as a whole. As of 20 July, 2022, the World Health Organization (WHO) declared 562,672,324 confirmed cases including with 6,367,793 deaths. Objectives The scope of this study is to identify the best fitted model for the mortality rates of Covid-19 in KSA. To discuss several desirable statistical properties of the best fitted model. Results Among other probability models, the best fitted model is Extended Exponential probability distribution which can leads the practitioner to a best estimation of the death rates. To get rid of the maximum number of deaths, the best estimation will help the practitioner to make better planning that is to provide the required number of beds at a hospital, to provide the cylinder to each effected patients, etc.