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.
Influenza, measurement errors and the interpretation of paired serology
Abstract: Serology is the gold standard approach to estimating influenza infection attack rates in human populations. A classic study design involves blood samples being collected before and after an influenza season in a cohort of individuals; a rise in antibody titers in an individual suggests infection during the season. Potential measurement errors have typically meant a 2 fold rise (1 dilution) is not considered as strong evidence for infection, with seroconersion therefore normally defined as a 4-fold or greater rise in antibody titers. This somewhat ad-hoc rule became established when those methods were first developed. Here, we revisit the basis for this assumption and explore how modern statistics for the analysis of data with measurement errors can change and improve our interpretation of serology.