Nonlinear dynamics of a new seasonal epidemiological model with age-structure and nonlinear incidence rate

In this article, we study the dynamics of a new proposed age-structured population mathematical model driven by seasonal forcing function that takes into account variability climate. We introduce generalized force infection to different potential disease outcomes. Using nonlinear analysis tools and differential inequalities theorems, obtain sufficient conditions guarantee existence positive periodic solution. Moreover, provide assure global attractivity Numerical results corroborate theoretical in sense solutions are solution is attractor. This type models important, since they take weather impact on some epidemics such as current COVID-19 pandemic.