Statistical study of Covid-19 pandemic at Russia and Ukraine during the Russian-Ukrainian war

The article presents statistical data for confirmed cases, deaths, and recovery from the COVID- 19 pandemic during the four waves around the world. The statistical data are compared before and after the Russian-Ukrainian war to illustrate the impact of the war on the pandemic where experts warned that the war in Ukraine could lead to an increase in the region, in manner described as catastrophic. The paper investigates and studies the relationship between the peaks of the four waves of the Russian-Ukrainian war. Specifically the paper studies the effect of this war on the number of infections and deaths during the fourth wave in both countries using statistical measures like the regression equations to study the forecasts and realistic evaluation of the COVID-19 mortality rate in Russia and Ukraine. Also calculated the Skewness and Kurtosis coefficient for confirmed cases, recovering, and deaths to show the data shape distribution in both countries to find out whether the war increased the incidence of cases or not.last section we comput Chi-Square test to determine whether the difference between the observed and expected values in both countries is statistically significant or not.