In this online MOOC you will learn a basic, yet very general approach to mathematical modeling of infectious disease dynamics.
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We live in a highly interconnected world, where infectious diseases find opportunities to spread globally, like never before in the history of mankind. This raises new challenges in public health for epidemiologists, medical doctors and biologists alike, engaged in the prevention and treatment of infectious diseases. Mathematical and computational models can contribute in this cross-disciplinary, concerted effort. They can make short-term predictions on how epidemics progress, help analyze scenarios on epidemic outcome and inform about the impact of public health interventions.
At the end of this course, you will be able to:
- Build a model using flow charts
- Identify how flow charts are translated into ordinary differential equations
- Recognize techniques for deriving formulas for the basic reproduction number, R0, and the effective reproduction number, R
- Identify the principles of estimating R0 and R from data
- Recognize the SIR model
- Identify how public health interventions can be modeled using flow charts
This MOOC is part of the Online Diploma of infectious Diseases of the Institut Pasteur DNM2IP.
Enrollment: From Jul 03, 2025 to Sep 01, 2026
Course: From Sep 02, 2025 to Sep 01, 2026
Languages: The videos are in English, with English and French.