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).
Abstract: We present a model for the description of the simultaneous spreading of two interacting pathogens on the same host population through interdependent contact networks. The model is based on a heterogenous mean-field approach to describe the critical properties of the dynamics as well as an adequate framework for the temporal description of coupled out of equilibrium outbreaks. The proposed approach allows to analytically derive the epidemic thresholds of the diseases modeled, explicitly addressing the influence on each threshold of aspects such as the prevalence of the conjugate disease, the system size, the architecture of the networks of contacts and the appearance of eventual correlations between them. Overall, our findings provide deep insights into what are the key mechanisms that drives the evolution of interacting diseases and secondly, they pave the way for the development of quantitative, data-driven models for the detailed characterization of concurrent and interacting diseases.