This Working Group aims to observe the spatial variation of the COVID-19 mortality rate with various sociodemographic and spatial variables such as social vulnerability, urbanization rate, health care accessibility, and living habits. This science-driven project integrates advanced cyberinfrastructure, geospatial statistical models, and novel AI algorithms to analyze spatial COVID-19 mortality patterns.
Social Vulnerability, Mobility, and COVID-19 Spatial Mortality Patterns
Working Group Lead
Zhe Zhang, Texas A&M University
Working Group Members
Kyle Breen, Louisiana State University
Tara Goddard, Texas A&M University
Daikwon Han, Texas A&M University
Xiao Li, Texas A&M University
Michelle Meyer, Texas A&M University
Xinyue Ye, New Jersey Institute of Technology
Siyu Yu, Texas A&M University
CONVERGE is funded by the National Science Foundation (NSF), Division of Civil, Mechanical, and Manufacturing Innovation, Program on Humans, Disasters, and the Built Environment (Award #1841338). Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the NSF.