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.
Statistical and Mathematical Modeling in Biological Applications
The seminar series Statistical and Mathematical Modeling in Biological Applications (SaMMBA) features monthly lectures and discussions with leading modelers in biological sciences. Presentations are in English or French and target an interdisciplinary audience. Seminars are held on the campus of Institut Pasteur. Access is free. However, to enter the campus, one needs a badge that is obtained at the main gate in exchange of a piece of ID (passport, citizen card or driver licence).
Modelling Social Contact Data: a smoothing constrained approach
Abstract: Mathematical modelling of infectious diseases transmitted by the respiratory or close-contact route (e.g. influenza) is increasingly being used to determine the impact of possible interventions. Several authors have shown that informing mathematical models with social contact data is of great value avoiding making a priori contact assumptions with little or no empirical basis. Moreover, it has also been shown that estimating mixing patterns from social contact data is not without difficulties and model choice is likely to affect the mathematical model outcome substantially. In this paper we present a model for estimating age-specific contact rates from social contact surveys. Specifically we propose a smoothing constrained approach to estimate these contact rates between people of possibly different ages. We use a two-dimensional approach where contact rates are assumed smooth from a cohort perspective as well as from the age distribution of contacts. The proposed method uses a combination of penalized likelihood for rectangular arrays for smoothing the contact rates and linear constraints to ensure reciprocity of contacts. We illustrate our approach using social contact data from a population-based contact survey that has been carried out in Belgium in 2006.