Develop a simulation method for COVID-19 pandemic AI prediction using the latest graph theory. Supercomputing using graph theory and probability density function for pandemic transmission prediction, distribution of infected areas, number of infected people, maximum infected people and maximum infected people, closure-of-pandemic period prediction and virus effect increase/decrease rate. It has originality in developing AI algorithms that enable the formulation of action plans that guarantee the safety of the people.