A hybrid epidemiological model based on individual dynamics

This article proposes a hybrid susceptible–infected–removed model which takes into consideration the spatiotemporal dynamics of individuals. The is based on system discrete stochastic diffusion equations. To build these equations, two-dimensional equations coming from balanced method are coupled with human displacement probability law pattern through discretization made by finite volume for complex geometries. validation this applied to COVID-19 spread. Since it actual and statistics available elsewhere. case developed country used simulation under some assumptions. Firstly fit chosen pattern, then accuracy provided helps analyze sensitivity parameters model. results explain influence population movement evolution