This paper examines the role of various socioeconomic factors in mediating the local and cross-city transmissions of the novel coronavirus 2019 (COVID-19) in China. We implement a machine learning approach to select instrumental variables that strongly predict virus transmission among the rich...

This paper models the local and cross-city transmissions of the novel coronavirus in Chinabetween January 19 and February 29 in 2020. We examine the role of various socioeconomicmediating factors, including public health measures that encourage social distancing in localcommunities. Weather...

This paper models the local and cross-city transmissions of the novel coronavirus in China between January 19 and February 29 in 2020. We examine the role of various socioeconomic mediating factors, including public health measures that encourage social distancing in local communities. Weather...

We consider a model of network interactions where the outcome of a unit depends on the outcomes of the connected units. We determine the key network link, i.e., the network link whose removal results in the largest reduction in the aggregate outcomes, and provide a measure that quantifies the...

We consider a model of network interactions where the outcome of a unit depends on the outcomes of the connected units. We determine the key network link, i.e., the network link whose removal results in the largest reduction in the aggregate outcomes, and provide a measure that quantifies the...