Using Time Series Analysis to Forecast the prevalence of the COVID – 19 PANDEMIC (IRAQ and Gulf Cooperation’s Council countries )
Corona pandemic (COVID – 19 )that appeared in China in December 2019 and spread rapidly around the world .whereas at the time of writing this paper ,it is important was more than (6800000) cases .and more than 380000 deaths and the most affected countries are USA Brazel ,Russia , Spain , and UK Nevertheless, this paper dealt with the number of cases in IRAQ and the six countries of the Gulf Cooperation Council for the period from first of march to 15th of may series size 76 the technique of time series analysis was adopted which showed that it is non stationary and was covered to stationary by taking the difference es and a model was built for each country and used in the for casting . thus the study result showed that the models that were built are effective by using it to forcast future cases and the possibility of benefiting from the proposel models to forcast the number of cases for each country by updating the data every period of time and rebuilding the models .in a addition, the models clarify that the number of cases is increasing for all countries in the coming few days.