Marco Ajelli
Associate Professor, Indiana University
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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