Keyphrases
COVID-19
100%
U.S. Counties
100%
Ordinal Logistic Regression
100%
Geographically Weighted
100%
Temporal Index
100%
High Risk
27%
Infection Risk
27%
Moderate Risk
18%
Essential Workers
18%
Spatially Non-stationary
18%
Temporal Dimension
18%
Texas
9%
Low Risk
9%
Potential Interventions
9%
Louisiana
9%
Model Fitting
9%
Coastal Area
9%
Ordinal Logistic Regression Model
9%
Risk Level
9%
Great Lakes Region
9%
September 11
9%
Strong Impact
9%
Local Patterns
9%
Daily Data
9%
Labor Market
9%
Black Belt
9%
Contiguous US
9%
Spatial Modeling
9%
Structural Inequality
9%
Monte Carlo Test
9%
Housing Inequality
9%
Income Ratio
9%
Mississippi Valley
9%
Place-based Perspective
9%
County-level Factors
9%
Unemployed Workers
9%
North-eastern Region
9%
Mathematics
Ordinal Logistic Regression
100%
Covariate
50%
Logistic Regression Model
50%
Monte Carlo
50%
Probability Theory
50%
Model Fit
50%
Cross-Sectional Data
50%
Factor Level
50%
Risk Level
50%
Strong Impact
50%
Computer Science
Logistic Regression
100%
Temporal Dimension
100%
Research Purpose
50%
Logistic Regression Model
50%
Sectional Data
50%
Structural Inequality
50%
Monte Carlo Test
50%
Social Sciences
USA
100%
COVID-19
100%
High-Risk Population
18%
Texas
9%
Sociodemographics
9%
Labor Market
9%
Great Lakes Region
9%
Coastal Region
9%
Economics, Econometrics and Finance
Logit Model
100%
Sociodemographics
50%
Labor Market
50%
Psychology
High-Risk Population
100%
Regression Model
50%