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.
The mission of the Industrial Partnership team is to detect, promote, assist and protect the inventive activities from research (inventions, know-how and biological materials) conducted at the Institut Pasteur (and in some Institutes of its international network), and transfer there to industrial and/or institutional partners, in order to serve the patient needs and for the benefit of the society, as well as to contribute to sustainability of the Institut Pasteur’s resources.
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.
Challenges for statistical modelling during the STEC/HUS outbreak in Germany, 2011
Abstract: During May-July 2011, Germany was confronted with a large outbreak of gastrointestinal disease caused by Shiga toxin-producing Escherichia coli (STEC) O104:H4 associated with sprouts. A total of 2,987 cases of diarrhoea without the haemolytic uremic syndrome (HUS) complication and 855 cases of HUS were attributable to the outbreak, making this one of the largest STEC outbreaks ever reported. In my talk, I will focus on a number of challenges this outbreak induced for statistical modelling, especially, latency periods and their consequences. This includes the latency period between exposure to the disease and onset of diarrhoea in cases and the inherent reporting delay present in any public health surveillance system. Based on an incubation-time estimation, non-parametric back projection was used to retrospectively back-project the daily number of diarrhoea onsets of STEC and HUS cases. Furthermore, a nowcasting procedure was used to extrapolate from observed to actual counts by adjusting for reporting delay. Altogether, this allowed us to assess epidemic trends during the outbreak and to identify the time interval, where the majority of contaminated food was consumed. If time permits, I will also briefly touch upon challenges in classical case-control methodology for source identification, e.g. estimating odds ratios in 2x2 tables with zero cells and the computation of odds ratios in the light of exposure misclassification bias.