Modelling Influenza A disease dynamics under Caputo-Fabrizio fractional derivative with distinct contact rates

The objective of this manuscript is to present a novel approach modeling influenza A disease dynamics by incorporating the Caputo-Fabrizio (CF) fractional derivative operator into model. Particularly distinct contact rates between exposed and infected individuals are taken account in model under study, concept explored with respect component. We demonstrate existence uniqueness solution obtain series for all compartments using Laplace transform method. reproduction number Influenza model, which was created show effectiveness different rates, obtained examined detail sense. To validate our approach, we applied predictor-corrector method sense accurately predicting dynamics. Our findings suggest that use can provide valuable insights mechanisms underlying enhance accuracy models.