Author(s)

Wang Huiyu

Corresponding Author

Wang Huiyu

Abstract

This paper conducts an in-depth analysis of the transmission dynamics of infectious diseases based on differential equation models, aiming to explore the transmission characteristics of infectious diseases under different conditions and their influencing factors. By constructing reasonable mathematical models, we simulate the transmission process of infectious diseases and conduct sensitivity analysis on model parameters to understand the impact of each parameter on disease transmission trends. Furthermore, based on the simulation results, we propose targeted control strategies, including isolation measures, vaccination programs, and social distancing controls, to effectively curb the spread of infectious diseases. The research results indicate that reasonable control strategies can significantly reduce the infection and mortality rates of infectious diseases, providing a scientific basis for public health decision-making.

Keywords

differential equation model; infectious disease transmission; dynamic analysis; control strategies; sensitivity analysis