The COVID-19 Pandemic Vulnerability Index (PVI) Dashboard: Monitoring County-Level Vulnerability Using Visualization, Statistical Modeling, and Machine Learning-Reference-Cited by-同舟云学术

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

Published:2021-01 Issue:1 Volume:129 Page:017701
ISSN:0091-6765
Container-title:Environmental Health Perspectives
language:en
Short-container-title:Environ Health Perspect

Author:

Marvel Skylar W.¹,House John S.²,Wheeler Matthew²,Song Kuncheng¹,Zhou Yi-Hui¹,Wright Fred A.¹³,Chiu Weihsueh A.⁴,Rusyn Ivan⁴,Motsinger-Reif Alison²,Reif David M.¹

Affiliation:

1. Bioinformatics Research Center, Department of Biological Sciences, North Carolina State University (NCSU), Raleigh, North Carolina, USA

2. 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

3. Department of Statistics, NCSU, Raleigh, North Carolina, USA

4. Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, Texas, USA

Publisher

Environmental Health Perspectives

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health

Reference8 articles.

1. Atlantic Monthly Group. 2020. The COVID Tracking Project. https://covidtracking.com/ [accessed 15 November 2020].

2. HGBEnviroScreen: Enabling Community Action through Data Integration in the Houston–Galveston–Brazoria Region

3. COVID19PVI. 2020. COVID19PVI/data. https://github.com/COVID19PVI/data [accessed 15 November 2020].

4. Assessing the Quality of Rural Hazard Mitigation Plans in the Southeastern United States

5. ToxPi Graphical User Interface 2.0: Dynamic exploration, visualization, and sharing of integrated data models

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