Szemenyei Adrián László: Numerical modelling of disease propagation

Önálló projekt, szakmai gyakorlat III

2022/23 I. félév

Témavezető:
Faragó István (ELTE TTK, Matematikai Intézet, Alkalmazott Analízis és Számításmatematikai Tanszék)

Mathematical models are efficient tools of modeling disease propagation. In the most popular compartmental models, the population is considered to be homogeneously mixed and the individuals are classified according to their relation to the disease. In this research, we pay special attention to common epidemic-spreading processes. We examine the systems of differential equations that serve as a model to describe the phenomenon. By constructing the appropriate discrete numerical models, we analyze each model with computer results.