The Pasteur Museum is housed in the apartment where Louis Pasteur spent his final seven years and offers a rare behind-the-scenes look at the living and working environment of the world-renowned scientist. Visitors can gain a unique insight into his everyday life alongside his wife and can admire his rich and diverse scientific work.
The Institut Pasteur’s scientific strategy focuses on developing original and innovative topics and promoting interdisciplinary and multidisciplinary cooperation and approaches. The Institut Pasteur teams have access to the technological resources needed to speed up and further improve the quality of their outstanding research.
Ever since the introduction of the world’s first "Technical Microbiology" course in 1889, teaching has been a priority for the Institut Pasteur. The Institut Pasteur has an international reputation for quality teaching that attracts students from all over the world who come to further their training or top up their degree programs.
With international courses, PhD and postdoctoral traineeship, each institute of the Institut Pasteur International Network (RIIP) contributes to the transmission of knowledge with the training of young researchers all around the world. In this context, doctoral and postdoctoral programmes, study and traineeship fellowships are available to scientists. Alongside training, dynamism and attractiveness of RIIP will result in the creation of 4-year group for the young researchers.
This two-week course provides a thorough introduction to mathematical modeling of infectious diseases for students and professionals in science, medicine and public health.
A Masters or BSc degree is required. Basic knowledge of algebra (matrices), calculus (derivatives) and probabilities is recommended. Notes covering these topics at the level needed for the class are avaliable for download : square matrices (PDF - 75 KB), derivatives (PDF - 90 KB).
Lectures alternate with modeling case studies from the scientific literature and computing exercises. Special attention is devoted to developing compartmental models within either a deterministic or stochastic framework. The class also covers models of disease transmission networks based on homogeneous branching processes. More sophisticated models of transmission networks embedded within complex networks of social contacts are discussed as well. Uncertainty and sensitivity analyses of modeling output are explained and illustrated. The notion of the basic reproduction ratio R0 is introduced for models of various types. Methods to calculate R0 from epidemiological data and the impact of control measures on R0 are discussed.
The program of the course organized the previous year can be downloaded for more detailed information on the general content of the course; some topics and practical works may change from year to year.