Spatial association of respiratory health with social and environmental factors: case study of Cook County, Illinois, USA

ABSTRACT

People 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. 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. This paper illustrates the utility of spatial regression in the analysis and presentation of spatially distributed asthma prevalence at the census tract level in Cook County, IL. 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 use bivariate mapping to illustrate the spatial distributions of residential land use and tree cover. Our findings indicate that asthma is associated with socioeconomic and physical factors, including the share of people aged 17 and younger, age 65 and older, with disabilities, the percentage of minorities with the language barrier, tree canopy, access to medical centers, and air pollution quality, and household quality. Results may guide further decisions in planning for asthma research and intervention, especially for identifying vulnerable areas and people.

KEYWORDS:

• Social and environmental factors
• respiratory health
• asthma
• spatial analysis

This article is related to:

Research for city practice

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Aynaz Lotfata

Aynaz Lotfata is an Assistant Professor of the Urban Planning and GIS at Chicago State University, USA. Her cross-disciplinary research focuses on environmental justice and urban wellbeing. Aynaz Lotfata is a Fellow at 4TU. Resilience Engineering Center.

Alexander Hohl

Alexander Hohl is an Assistant Professor at the Department of Geography at the University of Utah, USA. His research focuses on applying statistical methods and machine learning to solve problems in health geography. Alexander Hohl is the past chair of the Cyberinfrastructure Specialty Group at the American Association of Geographers.