Marco Ajelli
Associate Professor, Indiana University
Jun 22, 2022
11:00 am
Jun 22, 2022
11:00 am
In-person
4 Thomas More St
London E1W 1YW, UK
London E1W 1YW, UK
The Roux Institute
Room
100 Fore Street
Portland, ME 04101
Portland, ME 04101
Network Science Institute
2nd floor
2nd floor
Network Science Institute
11th floor
11th floor
177 Huntington Ave
Boston, MA 02115
Boston, MA 02115
Network Science Institute
2nd floor
2nd floor
Room
58 St Katharine's Way
London E1W 1LP, UK
London E1W 1LP, UK
Talk recording
Respiratory infectious diseases such as influenza and SARS-CoV-2 spread through “contacts” between (susceptible and infectious) individuals. The COVID-19 pandemic has altered the amount and type of social interactions in an unprecedented way. In turn, this has shaped SARS-CoV-2 transmission and defined different phases of the pandemic. Here we present quantitative estimates of the extent to which contact patterns have changed during the COVID-19 pandemic and how computational models can leverage such data to project the spread of respiratory pathogens.
About the speaker
My research leverages mathematical/computational modeling and data science to provide a quantitative framework for: Understanding the key determinants and population processes that shape the epidemiology of infectious diseases; Interpreting empirical evidence and integrating it with model-based results to address public health questions. Most of my research has a key practical goal: support public health evidence-based decision-making.
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