news & highlights
I am organising together with Fakhteh Ghanbarnejad (TU Berlin) and Michele Tizzoni (ISI Foundation) the satellite
Network in disease ecology: modelling interacting
pathogens, multiple host
Check netdely2018.weebly.com for more the info
jan 1, 2017: The project FluDE is starting! For the next one year and half a funding from Sorbonne Université will provide me the resources to study influenza spread and evolution in France through a computational intensive data driven model based on genetic and incidence data.
oct 24, 2016: we compared zika and chikungunya epidemics to address common drivers of transmission. The paper is out on Epidemics
Jan 1, 2016: we studied MERS-CoV spread in Middle East with the goal of quantifying the relative role of human-to-human vs. zoonotic transmission and its spatiotemporal heterogeneity. The study is out on Epidemics
Apr 8, 2015: We developed an analytical framework for the computation of the epidemic threshold on a generic temporal contact network. The paper is out today on Physics Review X. Look also at the highlight on Physics. You can also find some Python code here.
Systematic review and analysis of the risk of MERS-CoV importation and on-ward transmission: our last paper is out on BMC Inf. Dis. I
Sep 29, 2015: I am recipient of the Junior Scientific Award 2015 of the Complex System Society (CSS). The annual award is aimed at recognising outstanding scientific achievements by CSS young researchers (within 7 years of PhD competition). See the news on the CSS website.
some media coverage of our work
epidemic threshold on temporal networks: Pacific standard - Fighting epidemic with math
ebola outbreak: Bloomberg Businessweek - Ebola travel bans buy only time, not safety. INSERM press - Ebola: les restrictions de transport n’empêchent pas la diffusion du virus (in french). Corriere Comunicazioni - L'Ebola? Si sconfigge (anche) con i big data (in italian). Tuttoscienze (La Stampa) - "Frontiere chiuse contro Ebola” Il Big Data svela che è un’errore (in Italian).
Télématin, Sciences France 2 - Prévoir un épidémie