Overview Of Infectious Disease Modelling || CMA 2 | DAY 2 || Prof. E.A. Bakare

In this session, we introduce one of the foundational aspects of mathematical modeling in epidemiology, focusing on infectious diseases and malaria. The lecture provides an accessible yet insightful overview for students, researchers, and public health practitioners seeking to understand how modeling informs policy and intervention.

📌 Key Topics Covered:

The historical roots of disease modeling (with insights from Ronald Ross)

The difference between statistical models and mechanistic mathematical models

Qualitative vs. quantitative approaches in disease modeling

The real-world impact of data-driven modeling

How modeling goes beyond academic theory to influence public health policy

Conceptualizing real-world challenges (e.g., malaria, climate effects, and even kidnapping) using mathematical structures

Why exponential growth appears at the start of epidemics, and how to interpret it

🧠 Whether you're a student of mathematics, a health researcher, or a policymaker, this talk will challenge your assumptions and encourage you to think critically about how models are built, applied, and evaluated.

🛠️ Takeaway Message:
It’s not just about mathematical rigor. To make a real impact, models must reflect the real world, be informed by data, and demonstrate careful reasoning rooted in public health realities.

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📬 Questions or thoughts? Drop them in the comments below – we’d love to hear from you!

#InfectiousDiseaseModeling #MathematicalModeling #PublicHealth #Malaria #Epidemiology #RonaldRoss #QuantitativeMethods #HealthPolicy

Видео Overview Of Infectious Disease Modelling || CMA 2 | DAY 2 || Prof. E.A. Bakare канала ICAMMDA FUOYE