Kumar, PushpendraErturk, Vedat SuatMurillo-Arcila, MarinaBanerjee, RamashisManickam, A.2024-01-212024-08-132024-01-212024-08-132021-07-201687183910.1186/s13662-021-03499-2https://kr.cup.edu.in/handle/32116/3366In this study, our aim is to explore the dynamics of COVID-19 or 2019-nCOV in Argentina considering the parameter values based on the real data of this virus from March�03, 2020 to March�29, 2021 which is a data range of more than one complete year. We propose a Atangana�Baleanu type fractional-order model and simulate it by using predictor�corrector (P-C) method. First we introduce the biological nature of this virus in theoretical way and then formulate a mathematical model to define its dynamics. We use a well-known effective optimization scheme based on the renowned trust-region-reflective (TRR) method to perform the model calibration. We have plotted the real cases of COVID-19 and compared our integer-order model with the simulated data along with the calculation of basic reproductive number. Concerning fractional-order simulations, first we prove the existence and uniqueness of solution and then write the solution along with the stability of the given P-C method. A�number of graphs at various fractional-order values are simulated to predict the future dynamics of the virus in Argentina which is the main contribution of this paper. � 2021, The Author(s).en-USArgentinaAtangana�Baleanu non-classical derivativeCOVID-19Mathematical modelsTRR algorithmArticlehttps://advancesindifferenceequations.springeropen.com/articles/10.1186/s13662-021-03499-2