Centre for Mathematical Modelling of Infectious Diseases Annual Lecture 2020 with Dr Vittoria Colizza
Years of preparedness and scientific progress have been harshly put to test in the most difficult health crisis of the last 100 years. Following the path of our experience in this first year, Vittoria will discuss pitfalls, challenges, and opportunities to improve modelling for outbreak response.
Modelling and Big Data for outbreak response: pre- and post-COVID-19
Speaker
Dr Vittoria Colizza is Research Director at INSERM (French National Institute for Health and Medical Research) and Sorbonne Université in the Pierre Louis Institute of Epidemiology and Public Health (IPLESP). After a PhD in Theoretical Physics (International School of Advanced Studies, Trieste, Italy, 2004), she worked at Indiana University (US, 2004-2007) as post-doc and visiting Assistant Professor, and joined ISI Foundation (Turin, Italy, 2007-2010) as senior researcher after being awarded an ERC Starting Grant in Life Sciences in 2007. In 2011 Colizza joined INSERM in Paris where she currently leads the EPIcx lab (Epidemics in complex environments) within the team ‘Communicable Diseases Surveillance and Modelling’.
Her research focuses on human and animal epidemics (COVID-19 pandemic, 2009 H1N1 pandemic, MERS-CoV, Ebola, rabies, foot-and-mouth disease, bovine brucellosis) to analyse epidemic contexts and provide predictions for preparedness, mitigation, and control. Her work is based on mathematical, computational and digital approaches integrating data on mobility and contacts between hosts (air travel, commuting, cell phone data, RFID sensors).
Colizza is heavily involved in the COVID-19 health crisis since January 2020. Her work has been informing public health authorities in the different phases of the pandemic.
Colizza coordinated several national and European projects, and received a number of awards, including the 2012 Prix Louis-Daniel Beauperthuy from the French Academy of Sciences, the 2013 Young Scientist Award for Social and Econophysics, the 2017 Erdős–Rényi Award from the Network Science Society, and 2017 Telethon-Farmindustria Award.
Please note that the time listed is Greenwich Mean Time (GMT)
In advance of this Annual Lecture, The Centre for the Mathematical Modelling of Infectious Diseases (CMMID) will also be hosting the Centre’s COVID-19 Symposium from 13.00 – 15.30
CMMID COVID-19 Symposium “Modelling the COVID-19 Pandemic”
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