The COVID-19 Pandemic Vulnerability Index (PVI) Dashboard: Monitoring County-Level Vulnerability Using Visualization, Statistical Modeling, and Machine Learning.

Journal: Environmental health perspectives
PMID:

Abstract

No abstract available for this article.

Authors

  • Skylar W Marvel
    Bioinformatics Research Center, Department of Biological Sciences, North Carolina State University (NCSU), Raleigh, North Carolina, USA.
  • John S House
    National Institute of Environmental Health Sciences, Biostatistics and Computational Biology Branch, Durham, NC 27713, USA.
  • Matthew Wheeler
    Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina, USA.
  • Kuncheng Song
    Bioinformatics Research Center, Department of Biological Sciences, North Carolina State University (NCSU), Raleigh, North Carolina, USA.
  • Yi-Hui Zhou
    Bioinformatics Research Center, Department of Biological Sciences, North Carolina State University (NCSU), Raleigh, North Carolina, USA.
  • Fred A Wright
    Bioinformatics Research Center, Center for Human Health and the Environment, Department of Statistics, North Carolina State University, Raleigh, NC, United States of America.
  • Weihsueh A Chiu
    Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, Texas, USA.
  • Ivan Rusyn
    College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, Texas 77843.
  • Alison Motsinger-Reif
    Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina, USA.
  • David M Reif
    North Carolina State University, Bioinformatics Research Center, Raleigh, NC 27695, USA.