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The COVID-19 Pandemic Vulnerability Index (PVI) Dashboard: Monitoring County-Level Vulnerability Using Visualization, Statistical Modeling, and Machine Learning.
Marvel, Skylar W; House, John S; Wheeler, Matthew; Song, Kuncheng; Zhou, Yi-Hui; Wright, Fred A; Chiu, Weihsueh A; Rusyn, Ivan; Motsinger-Reif, Alison; Reif, David M.
  • Marvel SW; Bioinformatics Research Center, Department of Biological Sciences, North Carolina State University (NCSU), Raleigh, North Carolina, USA.
  • House JS; 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.
  • Wheeler M; 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.
  • Song K; Bioinformatics Research Center, Department of Biological Sciences, North Carolina State University (NCSU), Raleigh, North Carolina, USA.
  • Zhou YH; Bioinformatics Research Center, Department of Biological Sciences, North Carolina State University (NCSU), Raleigh, North Carolina, USA.
  • Wright FA; Bioinformatics Research Center, Department of Biological Sciences, North Carolina State University (NCSU), Raleigh, North Carolina, USA.
  • Chiu WA; Department of Statistics, NCSU, Raleigh, North Carolina, USA.
  • Rusyn I; Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, Texas, USA.
  • Motsinger-Reif A; Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, Texas, USA.
  • Reif DM; 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.
Environ Health Perspect ; 129(1): 17701, 2021 01.
Article in English | MEDLINE | ID: covidwho-1673984
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Models, Statistical / Machine Learning / Data Visualization / COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: Environ Health Perspect Year: 2021 Document Type: Article Affiliation country: EHP8690

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Models, Statistical / Machine Learning / Data Visualization / COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: Environ Health Perspect Year: 2021 Document Type: Article Affiliation country: EHP8690