We are a research group at Pierre Louis Institute of Epidemiology and Public Health part of INSERM. We combine a complex-system perspective with heavy computation to study the drivers of pathogens' spread in human and animal populations.
Below recent articles and pre-prints on the COVID-19 epidemic. Our work is partially funded by the ANR Flash Covid-19, the Fondation de France, the program Emergence(s) of municipality of Paris. It is conducted in collaboration with various researchers and research groups, including EPIcx Lab, Réseau Sentinelles, Lemey Lab, Alain Barrat.
- Comment: Applications of predictive modelling early in the COVID-19 epidemic (with SV Scarpino, EM Volz, published on The Lancet Digital Health)
- Pre-print: Anatomy of digital contact tracing: role of age, transmission setting, adoption and case detection (available here)
- Pre-print: Accommodating individual travel history, global mobility, and unsampled diversity in phylogeography: a SARS-CoV-2 case study (available here)
- Article: Tracing and analysis of 288 early SARS-CoV-2 infections outside China: A modeling study (published on PLoS Medicine, data available here)
- Article: Excess cases of influenza-like illnesses synchronous with coronavirus disease (COVID-19) epidemic, France, March 2020 (published on Eurosurveillance)
- Article: Preparedness and vulnerability of African countries against importations of COVID-19: a modelling study (published on The Lancet)
- Article: Novel coronavirus (2019-nCoV) early-stage importation risk to Europe, January 2020 (published Eurosurveillance)
mar-2020: Jesús and Beatriz are joining the lab for doing their internship in Physics of Complex Systems. Welcome!
dec-2019: New preprint: Interplay between competitive and cooperative interactions in a three-player pathogen system. Check it out on arxiv.
nov-2019: Francesco Pinotti has defended his thesis and is now PhD. Francesco worked on multi-strain dynamics on networks. His thesis is available here. Congrats Francesco!
fall-2019: Chiara has been visiting professor at the Department of Physics of the University of Padova to teach at the course Life Data Epidemiology of the master Physics of Data. Wanderful experience!
oct-2019: New preprint: Reorganization of nurse scheduling reduces the risk of healthcare associated infections. Check it out on medRxiv.
oct-2019: Internships available! We are seaking for a Master 2 student in love with data, complex systems, ecology and pathogens to do an internship with us. Check out the internship subjects availalbe here.
jul-2019: Fabio Mazza succesfully defended his internship project Multiscale modeling of influenza viral emergence for the International Master in Physics of Complex Systems. Congrats Fabio!
jun-2019: Host contact dynamics shapes richness and dominance of pathogen strains is out on PLOS Comp Biol. We studied the ecology of an open population of SIS strains spreading on a temporal network, and we discussed the implications of these results for the spread of S. aureus in hospitals.
mar-2019: Chiara will give an invited talk at Complenet 2019.
feb-2019: Chiara will give a lecture Introduction to Network Epidemiology at the Winter Workshop of Complex Systems.
jan-2019: The project CompFlu has been funded by the program Emergence(s) de la Ville de Paris. For the next four years we will study influenza spread and evolution in France through a computational intensive model based on genetic and incidence data. INSERM press coverage here .