. 2021 Jul 16;21:686. doi: 10.1186/s12879-021-06389-w

Table 1.

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

Variable name	Description
% Racial minorities	Percentage of non-white people^a
% Black	Percentage of people identifying as African American/ Black^a
% Hispanic/Latinx	Percentage of people identifying as Latino/Hispanic^a
% Age > 80	Percentage of people older than 80 years^a
% Age > 70	Percentage of people older than 70 years^a
% Age < 20	Percentage of people younger than 20 years^a
% Below poverty	Percentage of people living below poverty line^a
% Disabilities	Percentage of people with disability^a
% Essential services	Percentage of people with essential service job^a
% No health insurance	Percentage of people without health insurance coverage^a
% More than 2 per room	Percentage of housing units with occupancy > 2 persons per room^a
% More than 1.5 per room	Percentage of housing units with occupancy > 1.5 persons per room^a
% More than 1 per room	Percentage of housing units with occupancy > 1 persons per room^a
% Public transportation	Percentage of people traveling to work by public transportation^a
% Undergraduates	Percentage of people enrolled in undergraduate higher education^a
Prison population	Percentage of incarcerated population^b
LTCF (# beds)	Number of long term care facility beds as percentage of population^c
PM_2.5	Mean annual PM_2.5 level^d
Population density (5 km)	Number of people living within 5 km radius from town^a
Population density (20 km)	Number of people living within 20 km radius from town^a
Population density (50 km)	Number of people living within 50 km radius from town^a
Population density (100 km)	Number of people living within 100 km radius from town^a
% Going to work	Estimated percentage of population going to work outside home^e

^a Data derived from the 2014–2018 American Community Survey²¹

^b Data derived from MassGIS²³

^c Data derived from the Massachusetts Department of Public Health²⁰

^d Data derived from Kloog et al. 2014²⁷

^e Data derived from SafeGraph mobility datasets²⁶