Computational Epidemiology During the COVID-19 Pandemic

Explore computational epidemiology's role in the COVID-19 pandemic through a comprehensive lecture by Professor Maimuna Majumder of Harvard Medical School and Boston Children's Hospital. Delve into the intersection of machine learning, digital data, and public health as the speaker discusses agent-based models for health policy simulation, smartphone mobility data for policy evaluation, and the use of search query and news media data to monitor health misinformation. Gain insights into the importance of social justice and social networks in epidemiological research, and learn about the application of artificial intelligence and machine learning methods in infectious disease surveillance. Discover how digital data from various sources, including search queries, mobile phones, and social media, can be leveraged to address public health challenges and respond to ongoing pandemics.

Computational Epidemiology During the COVID-19 Pandemic