AbstractBackgroundPeople who live with respiratory diseases like asthma are more likely at risk of serious illness. Spatial analytic techniques allow for discovering areas of concern and finding correlates of asthma prevalence.ObjectiveThere is growing interest in disentangling the impacts of socioeconomic and environmental factors on respiratory health, their spatial correlation, and the demographic profile of people at risk of respiratory diseases. It is important to know how people with

more »

... a are geographically distributed and what social and environmental factors correlate with asthma. Thereby, the purpose of the study is to describe socioeconomic factors associated with asthma prevalence in Cook County, IL and to identify the significant risks and the protective factors to control asthma.Data and MethodsData obtained from CDC 2018 SVI, ACS, the City of Chicago Data Portal, HealthData.gov, and ESRI. In this paper, we illustrate the usefulness of geospatial regression analysis in the analysis and presentation of spatially distributed asthma prevalence among the population with disabilities, minorities with the language barrier, nonwhite population, age 17 and younger, and age 65 and older in the census tracts of Cook County, IL where Chicago Metropolitan Area located. In addition, we map the spatial variation of asthma prevalence with variation in the tree canopy, access to medical centers, air quality, and household quality. Lastly, we used bivariate mapping to illustrate the spatial distributions of residential land use and tree covers.ResultsOur findings show a good correlation between asthma and socioeconomic and physical factors including age 17 and younger, age 65 and older, population with disabilities, a minority with the language barrier, tree canopy, access to medical centers, air quality, and household quality. The aged 65 and older, 17 and younger, and people with disabilities are found to have a higher asthma prevalence in areas around the industrial corridors in southeast and west sides of Cook County, IL. Results may guide further decisions in planning for asthma research and intervention, especially for identifying vulnerable areas and people.