Research story ·
Max Salvatore on COVID-19 modeling in India
Max Salvatore reflects on his cancer research experience and subsequent work modeling COVID-19 in India.
Max worked with Bhramar Mukherjee, Lars Fritsche, and Lauren Beesley on cancer risk prediction using Michigan Genomics Initiative data. In this feature, he describes how that experience preceded his contributions to the COV-IND-19 Study Group. His team’s article on India’s pandemic response examines intervention scenarios and the effects of the national lockdown.
Publication
Ray D., Salvatore M., Bhattacharyya R., Wang L., Du J., Mohammed S., Purkayastha S., Halder A., Rix A., Barker D., Kleinsasser M., Zhou Y., Bose D., Song P., Banerjee M., Baladandayuthapani V., Ghosh P., Mukherjee B. Predictions, Role of Interventions, and Effects of a Historic National Lockdown in India's Response to the COVID-19 Pandemic: Data Science Call to Arms. Harvard Data Science Review. 2020;2020(Suppl 1). doi:10.1162/99608f92.60e08ed5