Dynamic Modelling Of Infectious Diseases || CMA 3 | DAY 2 || 3rd School on Modelling and Analytics.

Welcome to this foundational lecture on dynamic models of infectious diseases. In this session, by Dr. Afeez Abidemi, we introduce the mathematical principles behind modeling how diseases spread, with a particular focus on ordinary differential equations (ODEs) and compartmental models like the SIR model.

🎯 Key Topics Covered:

What is a dynamical system?

Modeling infectious disease dynamics over time

Introduction to compartmental models: Susceptible-Infectious-Recovered (SIR)

Differences between epidemic and endemic disease modeling

Assumptions behind closed and open populations

Understanding transmission rates and recovery dynamics

Mass-action vs. standard incidence

Role of initial conditions in modeling

Importance of model assumptions and real-world data

🧮 Whether you're a public health researcher, a student of epidemiology, or simply curious about how mathematics can help us understand and predict disease outbreaks—this video lays the groundwork for more advanced topics to come.

📍 This lecture is ideal for beginners and intermediates in mathematical biology, applied mathematics, and public health modeling.

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Видео Dynamic Modelling Of Infectious Diseases || CMA 3 | DAY 2 || 3rd School on Modelling and Analytics. канала ICAMMDA FUOYE