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

  • Jeon Young Kang (Creator)
  • Bita Fayaz Farkhad (Creator)
  • Man pui Sally Chan (Creator)
  • Alexander Michels (Creator)
  • Dolores Albarracín (Creator)
  • Shaowen Wang (Creator)



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 (<a href="">General Transit Feed Specification</a>) data which is provided by Chicago Transit Authority (CTA) from <a href="">Google's GTFS feeds</a>. Documentation defines the format and structure of the files that comprise a GTFS dataset: <a href=""></a>.

2) `HealthCare` contains shapefiles describing HIV healthcare providers in Chicago and Illinois respectively. The services come from <a href=""></a>.

3) `PopData` contains population data for Chicago and Illinois respectively. Data come from The American Community Survey and <a href="">AIDSVu</a>. AIDSVu ( 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 <a href="">OpenStreetMap</a> using the Python <a href="">osmnx</a> package.

<b>The abstract for our paper is:</b>
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.
Date made availableJun 22 2022
PublisherUniversity of Illinois Urbana-Champaign


  • HIV
  • spatial analysis
  • public transportation
  • GIS
  • spatial accessibility

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