Mathematical Analysis of double-age structured model

Abstract

This thesis highlights the importance of age-structured mathematical models in understanding the behavior of complex infectious diseases. The studied model illustrates how temporal factors such as biological age and incubation period affect the spread of infection, and demonstrates the possibility of controlling epidemic dynamics through effective intervention strategies. The results show that targeted vaccination can significantly reduce the spread of the disease, reinforcing the role of mathematical modeling in supporting scientifically based public health decisions.