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In this research, we provide a mathematical analysis for the novelcoronavirus responsible for COVID-19, which continues to be a big source ofthreat for humanity. Our fractional-order analysis is carried out using anon-singular kernel type operator known as the Atangana--Baleanu--Caputo (ABC)derivative. We parametrize the model adopting available information of thedisease from Pakistan in the period 9th April to 2nd June 2020. We obtain therequired solution with the help of a hybrid method, which is a combination ofthe decomposition method and the Laplace transform. Furthermore, a sensitivityanalysis is carried out to evaluate the parameters that are more sensitive tothe basic reproduction number of the model. Our results are compared with thereal data of Pakistan and numerical plots are presented at various fractionalorders.

Hybrid Method for Simulation of a Fractional COVID-19 Model with Real Case Application