Technological Innovation Liliane Bettencourt

Modeling Epidemics: Data, Methods, and Public Health Issues – Simon Cauchemez

In this lecture series, I will demonstrate how mathematical modeling tools are used to study the spread of infectious diseases in human populations. I will detail the impact on epidemic dynamics of factors such as the structure of contact networks, immunity, super-spreading events, individual behaviors, and inequalities. I will present the mathematical and statistical approaches used to estimate key transmission parameters from diverse and incomplete data, and to evaluate optimal control strategies. The course will be illustrated by numerous examples drawn from recent and historical epidemics, covering a wide variety of infectious diseases including influenza, dengue, COVID-19, Zika, chikungunya, mpox, HIV, SARS, and others.

The Technological Innovation Liliane Bettencourt Annual Chair, established in 2006, reflects the shared commitment of the Collège de France Foundation and the Bettencourt Schueller Foundation to highlight the importance of research dedicated to technological innovation.