Illinois Data Bank

Data for Spatial Accessibility to HIV (Human Immunodeficiency Virus) Testing, Treatment, and Prevention Services in Illinois and Chicago, USA

This dataset helps to investigate the Spatial Accessibility to HIV Testing, Treatment, and Prevention Services in Illinois and Chicago, USA.

The main components are: population data, healthcare data, GTFS feeds, and road network data. The core components are:

1) `GTFS` which contains GTFS (General Transit Feed Specification) data which is provided by Chicago Transit Authority (CTA) from Google's GTFS feeds. Documentation defines the format and structure of the files that comprise a GTFS dataset: https://developers.google.com/transit/gtfs/reference?csw=1.

2) `HealthCare` contains shapefiles describing HIV healthcare providers in Chicago and Illinois respectively. The services come from Locator.HIV.gov.

3) `PopData` contains population data for Chicago and Illinois respectively. Data come from The American Community Survey and AIDSVu. AIDSVu (https://map.aidsvu.org/map) provides data on PLWH in Chicago at the census tract level for the year 2017 and in the State of Illinois at the county level for the year 2016. The American Community Survey (ACS) provided the number of people aged 15 to 64 at the census tract level for the year 2017 and at the county level for the year 2016. The ACS provides annually updated information on demographic and socio economic characteristics of people and housing in the U.S.

4) `RoadNetwork` contains the road networks for Chicago and Illinois respectively from OpenStreetMap using the Python osmnx package.

The abstract for our paper is:
Accomplishing the goals outlined in “Ending the HIV (Human Immunodeficiency Virus) Epidemic: A Plan for America Initiative” will require properly estimating and increasing access to HIV testing, treatment, and prevention services. In this research, a computational spatial method for estimating access was applied to measure distance to services from all points of a city or state while considering the size of the population in need for services as well as both driving and public transportation. Specifically, this study employed the enhanced two-step floating catchment area (E2SFCA) method to measure spatial accessibility to HIV testing, treatment (i.e., Ryan White HIV/AIDS program), and prevention (i.e., Pre-Exposure Prophylaxis [PrEP]) services. The method considered the spatial location of MSM (Men Who have Sex with Men), PLWH (People Living with HIV), and the general adult population 15-64 depending on what HIV services the U.S. Centers for Disease Control (CDC) recommends for each group. The study delineated service- and population-specific accessibility maps, demonstrating the method’s utility by analyzing data corresponding to the city of Chicago and the state of Illinois. Findings indicated health disparities in the south and the northwest of Chicago and particular areas in Illinois, as well as unique health disparities for public transportation compared to driving. The methodology details and computer code are shared for use in research and public policy.

Physical Sciences
HIV;spatial accessibility;spatial analysis;public transportation;GIS
CC BY
U.S. National Science Foundation (NSF)-Grant:1443080
U.S. National Science Foundation (NSF)-Grant:1743184
U.S. National Institutes of Health (NIH)-Grant:R01 AI147487
U.S. National Institutes of Health (NIH)-Grant:DP1 DA048570
U.S. National Institutes of Health (NIH)-Grant:R01 MH114847
Shaowen Wang
409 times
Version DOI Comment Publication Date
1 10.13012/B2IDB-9096476_V1 2022-06-22

141 MB File

Contact the Research Data Service for help interpreting this log.

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Dataset update: {"subject"=>["", "Physical Sciences"]} 2022-07-19T19:35:39Z
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