Contact patterns during the COVID-19 pandemic: implications for the spread of respiratory pathogens
Visiting speaker
Marco Ajelli
Associate Professor, Indiana University
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
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.
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.
Want to be notified about upcoming NetSI events? Sign up for our email list below!
Thank you! You have been added to our email list.
Oops! Something went wrong while submitting the form