Our test bed for innovative social epidemiological research.
Food Insecurity: GIS Mapping and CDPH (Failed) Food Inspection Data
Research on food insecurity does not often take into consideration food safety concerns as a measure of food access or availability. Problems with sanitation that can impact food safety are captured through routine food inspections conducted by the Chicago Department of Public Health. When issues of food safety triggered by failed inspections cause disruptions in food availability this can amplify ongoing problems of food insecurity in neighborhoods located within food deserts. This GIS displays Chicago Department of Public Health food inspection data from January 2018 to March 2022 by community area. The shading indicates the percent of food inspections that failed for this time period.
Percentage of Food Inspections Failed by Zip Code in Chicago (Jan 2018-March 2022)
Food Inspections Data (January 2018-March 2022)
Index of Concentration at the Extremes
In several projects we have used the index of concentration at the extremes, derived from the American Community Survey. Here we share our methodology and results.
Comparative Community Health Equity Research Dataset (CHER-D)
Comparisons of communities across cities are rare in social epidemiology. Much of the work in this field either focuses on the social gradient in health in general or takes the city itself as the unit of analysis, generating useful points of comparison but missing the within-city heterogeneity that make local data so important. Our Comparative Community Health Equity Research Dataset (CHER-D) is designed to enable community-level health equity analyses across 10 cities. CHER-D version 1.0 is expected to be ready by Winter 2020.