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Table 1 Sociodemographic, occupational, environmental, and mobility risk factors used to predict COVID-19 case incidence in cities and towns of Massachusetts

From: Time-varying associations between COVID-19 case incidence and community-level sociodemographic, occupational, environmental, and mobility risk factors in Massachusetts

Variable name Description
% Racial minorities Percentage of non-white peoplea
% Black Percentage of people identifying as African American/ Blacka
% Hispanic/Latinx Percentage of people identifying as Latino/Hispanica
% Age > 80 Percentage of people older than 80 yearsa
% Age > 70 Percentage of people older than 70 yearsa
% Age < 20 Percentage of people younger than 20 yearsa
% Below poverty Percentage of people living below poverty linea
% Disabilities Percentage of people with disabilitya
% Essential services Percentage of people with essential service joba
% No health insurance Percentage of people without health insurance coveragea
% More than 2 per room Percentage of housing units with occupancy > 2 persons per rooma
% More than 1.5 per room Percentage of housing units with occupancy > 1.5 persons per rooma
% More than 1 per room Percentage of housing units with occupancy > 1 persons per rooma
% Public transportation Percentage of people traveling to work by public transportationa
% Undergraduates Percentage of people enrolled in undergraduate higher educationa
Prison population Percentage of incarcerated populationb
LTCF (# beds) Number of long term care facility beds as percentage of populationc
PM2.5 Mean annual PM2.5 leveld
Population density (5 km) Number of people living within 5 km radius from towna
Population density (20 km) Number of people living within 20 km radius from towna
Population density (50 km) Number of people living within 50 km radius from towna
Population density (100 km) Number of people living within 100 km radius from towna
% Going to work Estimated percentage of population going to work outside homee
  1. a Data derived from the 2014–2018 American Community Survey21
  2. b Data derived from MassGIS23
  3. c Data derived from the Massachusetts Department of Public Health20
  4. d Data derived from Kloog et al. 201427
  5. e Data derived from SafeGraph mobility datasets26