Using structured gaussian processing algorithm for spatiotemporal prediction of COVID-19 pandemic in the US

Researchers identified spatial/geographical features associated with increased COVID-19 cases and death counts in the US across different temporal phases of the pandemic.

Related Keywords

United States ,Texas ,Aimee Molineux ,Neha Mathur ,Neha Mathurapr ,Johns Hopkins University ,National Center ,Pearson ,United States Census Bureau ,Health Statistics ,Systems Science ,Latent Dirichlet Allocation ,Rocky Mountain ,Coronavirus Disease Covid 19 ,Covid 19 ,Pandemic ,Coronavirus ,Machine Learning ,Ortality ,Public Health ,Espiratory ,Cars ,Ars Cov 2 ,Evere Acute Respiratory ,Evere Acute Respiratory Syndrome ,Yndrome ,