We develop and implement a heterogeneous-agents network-based empirical model to analyze alternative policies during a pandemic outbreak. We combine several data sources, including information on individuals’ mobility and encounters across metropolitan areas, information on health records for...

In the COVID-19 pandemic, an unseen high-volume discussion of the disease is observed in online social networks. Not only do scientists and scholars use online social networks to discuss COVID-19 related research findings, but the public also are eager to know up-to-date findings by viewing...