Pierre Louis Institute of Epidemiology and Public Health

UMR-S 1136

Head of the institute: Fabrice Carrat

The Pierre Louis Institute of Epidemiology and Public Health was created in January 2014 as a unique laboratory gathering all the research forces in Epidemiology and Public Health within Sorbonne Université in order to increase our visibility and attractiveness, to facilitate collaborative works between the different teams, and to provide more efficient allocation of administrative or operational staff.

From January 2019, the Institute has been successfully evaluated and will be constituted of 7 INSERM / Sorbonne Université teams and a transversal administrative and computer and information technology team.

Our common overarching objective is to produce original knowledge on several of the most pressing public health issues and on the effectiveness of related interventions.

Our most prominent specificities are to use innovative design and analytical methods to ensure the highest level of evidence for our findings and, where appropriate, our capacity to set up, integrate and exploit a huge amount of data from various sources.

The Institute is covering the main domains of epidemiology, whether clinical, populational or social, as well as pharmacoepidemiology, biostatistics, statistical and mathematical modelling, clinical research including methodology and clinical trials, relations between environment and health status, social determinants of health, and health care organization.
In terms of applications we are dealing mainly with communicable diseases (influenza, HIV infection, viral hepatitis, …), nosocomial and emerging infections, with chronic diseases (inflammatory chronic diseases, respiratory, allergic and cardiovascular diseases), with psychiatric disorders and with critical care.

Our outputs are contributions to knowledge on disease determinants and mechanisms, evaluations of pharmaceutical and non-pharmaceutical interventions, improvement in surveillance information systems and modelling of communicable diseases, development of statistical techniques for the analysis of the so-called « big data » (including for instance clinical and genetic data on the human host, on the infectious agents and on the network between human hosts for communicable diseases, or on history of various environmental and social life-time exposures for chronic diseases).

The teams are listed below: