Modeling of infectious diseases

Epidemiology and Public Health

This one-week course provides a thorough introduction to mathematical modeling of infectious diseases for students and professionals in science, medicine and public health.

Practical information

Institut Pasteur
April 20-24, 2020
January 15, 2020
In English


Institut Pasteur Diploma
Doctoral School Module
Credits for Public health Pasteur-CNAM Master

Due to the exceptional circumstances of the Covid19 health crisis, we are obliged to cancel all Pasteur courses until July 2020 (included).

Registrations for Pasteur courses from September 2020 will be open in few days.

We apologize for this rescheduling and are waiting for you in our Education Center at the start of the 2020 academic year.


Mathematical modeling has become an essential tool for the study of infectious disease epidemics, making it possible to better characterize the complex transmission dynamics inherent to the spread of pathogens in human populations. Mathematical models are now commonly used to address a variety of questions that can inform policy making, for example, the optimal allocation of control measures, the planning and evaluation of vaccination programmes, nowcasting and forecasting of epidemics and real-time risk assessment during epidemics.

This one-week course aims at introducing the main modeling techniques and applications to students and professionals in science, medicine and public health. The main learning objectives of the course are that participants:

1) understand the key theoretical concepts and techniques of infectious disease modeling;

2) can read modeling papers, understand the strengths and limits of modeling approaches; and are able to use modeling results in their own research and effectively interact with modelers. To achieve these objectives, the course will be partitioned in three types of sessions: a set of lectures introducing key theoretical concepts and techniques, a seminar series illustrating how these concepts are being used to tackle major Public Health challenges, and practical sessions during which participants will learn to implement, run and use models.

A Masters or BSc degree is required, as well as basic math knowledge (high school-level knowledge on derivatives, basics of probabilities and statistics).

More informations


Laura Temime

Unité de recherche et d'expertise Epidémiologie des maladies infectieuses

Institut Pasteur


Simon Cauchemez

Unité de modélisation mathématique des maladies infectieuses

Institut Pasteur

1 week
Members of the Course committee

S. Cauchemez (Institut Pasteur)

M. Lucas-Hourani (Institut Pasteur),

S. Malot (Institut Pasteur),

V. Ponticelli (Institut Pasteur),

M. Sala (Institut Pasteur),

L. Temime (Institut Pasteur),

H. Waxin (Institut Pasteur).

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