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TERATEC 2017 Forum
Workshop 2 - Wednesday, June 28 from 9h00 to 12h30
Health - Perspectives for Personalized Medicine in 2025

Computational challenges and modelistion in epidemiology of infectious diseases
Lulla OPATOWSKI, Assistant professor in Mathematical Epidemiology at the University of Versailles Saint Quentin (UVSQ), Biomathematics biostatistics pharmacopepidemiology-and-infectious-diseases_Unit-UMR 1181 Inserm/ Institut Pasteur & UVSQ

Summary : The acquisition and transmission of a pathogen in populations is a complex phenomenon resulting from a combination of processes operating at different scales (between-human transmission, colonisation at the host and microorganism levels). Mathematical and computational epidemiology are powerful tools to better understand the spread of infectious diseases. The increased computational power and use of Information and Communication Technologies, along with the advent of the Big Data era, now allow sophisticated modelling approaches to be developed jointly with epidemiological investigations integrating recent microbiological technologies. On one hand, mathematical models make possible to carry out in silico experiments that would be difficult or impossible, for practical, economic or ethical reasons, to carry out in reality. On the other hand, they can be used to analyse complex biological data and estimate unknown key parameters, and therefore increasing our knowledge. However, most of the epidemiological models focus on the question of transmission at the population level. Recently, such population models made possible nearly real time analysis of the recent Ebola and Zika outbreaks and were very useful to support public health response to control these epidemics. Similar real time application, for personalized medicine of patients or for the control of outbreaks in small populations such as hospital wards, could be considered in the future. However, it will require considerable increase of our computational capacity. At these smaller scales, phenomena are strongly multi-factorial and stochastic requiring more complex models and intensive simulations studies. In this talk, I will detail several challenges for the coming years, based on some practical example.

Biography : Lulla Opatowski is assistant professor in Mathematical Epidemiology at the University of Versailles Saint Quentin (UVSQ) working in the “Biostatistics, Biomathematics, Pharmacoepidemiology and Infectious Diseases” (B2PHI) unit, UMR1181 (Versailles Saint Quentin university, Inserm, Institut Pasteur) research group which includes physicians, epidemiologists, biologists, biomathematicians and biostatisticians. Her main research interests are in mathematical and computational modelling of infectious disease and statistical inference, with a particular interest in bacterial resistance to antimicrobials (including antibiotics and vaccines) and host-pathogen-pathogen interactions. Some of her projects include the modelling of interactions between respiratory bacteria and influenza viruses in humans, the modelling of transmission of nosocomial pathogens in hospitals using detailed proximity contact data, the modelling of gut microbiota and the impact of its dynamics on the acquisition of antibiotic resistant bacteria.

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Find the technical workshops of the TERATEC Forum on the theme of HPC in health and download the presentations

Teratec 2016 Forum : HPC technologies and applications in the healthcare sector

Teratec 2014 Forum : HPC and Healthcare: From therapeutic research to personalized medicine

Teratec 2013 Forum : HPC in Biology and Health

For any other information regarding the workshops, please contact :

Jean-Pascal JEGU
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