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

References

• TIGER/Line Shapefiles (machine readable data files)/prepared by the U.S. Census Bureau, 2020.
   Google Scholar
• Alcock, I., et al., 2017. Land cover and air pollution are associated with asthma hospitalisations: a cross-sectional study. Environment international, 109, 29–41. doi:10.1016/j.envint.2017.08.009
   PubMed Web of Science ®Google Scholar
• American Public Health Association (APHA), 2013. Improving health and wellness through access to nature. Available from: https://www.apha.org/ [Accessed 10 Apr 2021].
   Google Scholar
• Andersen, L. M., et al., 2021. Analyzing the spatial determinants of local Covid-19 transmission in the United States. The science of the total environment, 754, 142396. https://doi.org/10.1016/j.scitotenv.2020.142396
   PubMed Web of Science ®Google Scholar
• Anselin, L., 2001. Spatial econometrics. In: B.H. Baltagi. A companion to theoretical econometrics. Oxford: Blackwell, 310-330.
   Google Scholar
• Anselin, L., 2013. Spatial econometrics: methods and models. vol. 4. Dordrecht: Springer Science & Business Media.
   Google Scholar
• Anto, J.M., 2012. Recent advances in the epidemiologic investigation of risk factors for asthma: a review of the 2011 literature. Current allergy and asthma reports, 12 (3), 192–200. doi:10.1007/s11882-012-0254-7
   PubMed Web of Science ®Google Scholar
• Asthma and Allergy Foundation of America (AAFA), 2020. Asthma capitals: top 100 national ranking. Available from: https://www.aafa.org/asthma-capitals-top-100-cities-ranking/ [Accessed 11 Mar 2021].
   Google Scholar
• Brewer, C.A., 2006. Basic mapping principles for visualizing cancer data using geographic information systems (GIS). American journal of preventive medicine, 30 (2), S25–S36. doi:10.1016/j.amepre.2005.09.007
   PubMed Web of Science ®Google Scholar
• Bryant-Stephens, T., 2009. Asthma disparities in urban environments. The journal of allergy and clinical immunology, 123 (6), 1199–1208. doi:10.1016/j.jaci.2009.04.030
   PubMed Web of Science ®Google Scholar
• Burbank, A.J., et al., 2017. Environmental determinants of allergy and asthma in early life. The journal of allergy and clinical immunology, 140 (1), 1–12. doi:10.1016/j.jaci.2017.05.010
   PubMed Web of Science ®Google Scholar
• Centers for Disease Control and Prevention (CDC), 2018. Social Vulnerability Index (SVI), 2018. Database Illinois. Available from: https://www.atsdr.cdc.gov/placeandhealth/svi/index.html [Accessed 1 Mar 2021].
   Google Scholar
• Centers for Disease Control and Prevention (CDC), 2021b. Behavioral risk factor surveillance system survey data. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention.
   Google Scholar
• Centers for Disease Control and Prevention (CDC), 2021c. PLACES project. Local data for better health. Available from: https://www.cdc.gov/places [Accessed 1 Jan 2021].
   Google Scholar
• Centers for Disease Control and Prevention(CDC), 2021a. National environmental public health tracking network web. Available from: https://ephtracking.cdc.gov/ [Accessed 10 Jan 2021].
   Google Scholar
• Chatkin, J., Correa, L., and Santos, U., 2021. External environmental pollution as a risk factor for asthma. Clinical reviews in allergy & immunology. doi:10.1007/s12016-020-08830-5
   Web of Science ®Google Scholar
• Chen, E., et al., 2003 Nov-Dec. Socioeconomic status, stress, and immune markers in adolescents with asthma. Psychosomatic medicine, 65 (6), 984–992. doi:10.1097/01.PSY.0000097340.54195.3C
   PubMed Web of Science ®Google Scholar
• Chicago Metropolitan Agency for Planning (CMAP), 2020. 2015 Land Use Inventory for Northeastern Illinois, Version 1.0.
   Google Scholar
• Cranley, T.A. and Surles, J.G., 2002. Model-dependent variance inflation factor cutoff values. Quality engineering, 14 (3), 391–403. doi:10.1081/QEN-120001878
   Google Scholar
• Curto, E., et al., 2019. Is asthma in the elderly different? Functional and clinical characteristics of asthma in individuals aged 65 years and older. Asthma research and practice, 5, 2. doi:10.1186/s40733-019-0049-x
   PubMedGoogle Scholar
• Davis, S., 2016. Asthma in intellectual disability: are we managing our patients appropriately? Breathe, 12 (4), 310–317. doi:10.1183/20734735.014716
   Web of Science ®Google Scholar
• Department of Health and Human Services (HHS), 2000. Action against asthma: a strategic plan for the Department of Health and Human Services. Available from: https://aspe.hhs.gov/reports/action-against-asthma-strategic-plan-department-health-human-services-0 [Accessed: 12 Apr 2021].
   Google Scholar
• Desjardins, M.R., Hohl, A., and Delmelle, E.M., 2020. Rapid surveillance of COVID-19 in the United States using a prospective space-time scan statistic: detecting and evaluating emerging clusters. Applied geography, 118, 102202. doi:10.1016/j.apgeog.2020.102202
   PubMed Web of Science ®Google Scholar
• Duczmal, L., et al., 2007. A genetic algorithm for irregularly shaped spatial scan statistics. Computational statistics & data analysis, 52 (1), 43–52. doi:10.1016/j.csda.2007.01.016
   Web of Science ®Google Scholar
• Edwards, R., et al., 2006. Does living near heavy industry cause lung cancer in women? A case-control study using life grid interviews. Thorax, 61, 1076–1082. doi:10.1136/thx.2005.057620
   PubMed Web of Science ®Google Scholar
• Esri Inc, 2020. ArcGIS pro (Version 2.5). Esri Inc. Available from: https://www.esri.com/en-us/arcgis/products/arcgis-pro/overview [Accessed 15 Jan 2021].
   Google Scholar
• Gorai, A.K., Tuluri, F., and Tchounwou, P.B., 2014. A GIS based approach for assessing the association between air pollution and asthma in New York State, USA. International journal of environmental research and public health, 11 (5), 4845–4869. doi:10.3390/ijerph110504845
   Web of Science ®Google Scholar
• Hardie, G.E., Janson, S., and Gold, W.M., 2000. Ethnic differences: word descriptors used by African American and white asthma patients during induced bronchoconstriction. Chest, 117 (4), 935–943. doi:10.1378/chest.117.4.935
   PubMed Web of Science ®Google Scholar
• Hohl, A., et al., 2020. Daily surveillance of COVID-19 using the prospective space-time scan statistic in the United States. Spatial and spatio-temporal epidemiology, 34, 100354. doi:10.1016/j.sste.2020.100354
   PubMed Web of Science ®Google Scholar
• Honold, J., et al., 2012. Multiple environmental burdens and neighborhood-related health of city residents. Journal of environmental psychology, 32 (4), 305–317. doi:10.1016/j.jenvp.2012.05.002
   Web of Science ®Google Scholar
• Hrala, J., 2016. Looking at trees can reduce your stress levels, even in the middle of a city. WHO Review. Accessible from: https://www.sciencealert.com/urban-tree-coverage-can-significantly-reduce-stress-study-finds [Accessed 15 Jan 2021].
   Google Scholar
• Hsu, S.-C., et al., 2020. Differential time-lag effects of ambient PM2.5 and PM2.5-bound PAHs on asthma emergency department visits. Environmental science and pollution research international, 27 (34), 43117–43124. doi:10.1007/s11356-020-10243-y
   Web of Science ®Google Scholar
• Illinois Department of Public Health (IDPH), 2020. The impact of asthma in Illinois. Available from: https://dph.illinois.gov/content/dam/soi/en/web/idph/files/publications/idphasthmainfographic.pdf [Accessed: 24 Mar 2021].
   Google Scholar
• Illinois Environmental Protection Agency, (2017). Illinois annual air quality report. Available from: https://greatlakes.org/databook/ [Accessed 8 Jan 2021].
   Google Scholar
• Jandasek, B., et al., 2011. Access to and use of asthma health services among Latino children: the Rhode Island-Puerto Rico asthma center study. Medical care research and review: MCRR, 68 (6), 683–698. doi:10.1177/1077558711404434
   Web of Science ®Google Scholar
• Kulldorff, M., 1997. A spatial scan statistic. Communications in statistics-theory and methods, 26 (6), 1481–1496. doi:10.1080/03610929708831995
   Web of Science ®Google Scholar
• Kulldorff, M., et al., 2006. An elliptic spatial scan statistic. Statistics in medicine, 25 (22), 3929–3943. doi:10.1002/sim.2490
   PubMed Web of Science ®Google Scholar
• Kulldorff, M., 2018. SaTScanTM user guide. Boston, USA: SaTScan™.
   Google Scholar
• Kulldorff, M., Huang, L., and Konty, K., 2009. A scan statistic for continuous data based on the normal probability model. International journal of health geographics, 8 (1), 1–9. doi:10.1186/1476-072X-8-58
   Google Scholar
• Liu, B., et al., 2020. Bivariate spatial pattern between smoking prevalence and lung cancer screening in US counties. International journal of environmental research and public health, 17 (10), 3383. doi:10.3390/ijerph17103383
   Web of Science ®Google Scholar
• Locke, D.H., et al., 2021. Residential housing segregation and urban tree canopy in 37 US cities. npj urban sustainability, 1 (1). doi:10.1038/s42949-021-00022-0
   Google Scholar
• Mennis, J., 2006. Mapping the results of geographically weighted regression. The cartographic journal, 43 (2), 171–179. doi:10.1179/000870406X114658
   Web of Science ®Google Scholar
• Mitchell, D. and Murdock, K., 2005. Identifying risk and resource factors in children with asthma from urban settings: the context-health-development model. Journal of asthma, 42 (6), 425–443. doi:10.1081/JAS-200067936
   Web of Science ®Google Scholar
• Moncrief, T., et al., 2014. Single parent households and increased child asthma morbidity. The journal of asthma: official journal of the association for the care of asthma, 51 (3), 260–266. doi:10.3109/02770903.2013.873806
   PubMed Web of Science ®Google Scholar
• Moran, P.A., 1950. Notes on continuous stochastic phenomena. Biometrika, 37 (1–2), 17–23. doi:10.1093/biomet/37.1-2.17
   PubMed Web of Science ®Google Scholar
• Northridge, J., et al., 2010. The role of housing type and housing quality in urban children with asthma. Journal of urban health: bulletin of the New York academy of medicine, 87 (2), 211–224. doi:10.1007/s11524-009-9404-1
   PubMed Web of Science ®Google Scholar
• Oland, A.A., Booster, G.D., and Bender, B.G., 2017. Psychological and lifestyle risk factors for asthma exacerbations and morbidity in children. World allergy organization journal, 10, 35. doi:10.1186/s40413-017-0169-9
   PubMed Web of Science ®Google Scholar
• Openshaw, S. and Taylor, P.J., 1979. A million or so correlation coefficients: three experiments on the modifiable areal unit problem. In: N. Wrigley and R.J. Bennett, eds. Statistical applications in the spatial sciences. London: Pion, vol. 21, 127–144.
   Google Scholar
• Paciência, I. and Cavaleiro Rufo, J., 2020. Urban-level environmental factors related to pediatric asthma. Porto biomedical journal, 5 (1), e57. doi:10.1097/j.pbj.0000000000000057
   Google Scholar
• Pampel, F.C., Krueger, P.M., and Denney, J.T., 2010. Socioeconomic disparities in health behaviors. Annual review of sociology, 36, 349–370. doi:10.1146/annurev.soc.012809.102529
   PubMed Web of Science ®Google Scholar
• Ponte, E.V., et al., 2018. Urbanization is associated with increased asthma morbidity and mortality in Brazil. The clinical respiratory journal, 12 (2), 410–417. doi:10.1111/crj.12530
   PubMed Web of Science ®Google Scholar
• R Core Team, 2017. R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. Available from: https://www.R-project.org/ [Accessed 24 Feb 2021].
   Google Scholar
• R Studio Team, 2020. RStudio: integrated development for R. Boston, MA: R Studio, PBC. Available from: http://www.rstudio.com/ [Accessed 10 Jan 2021].
   Google Scholar
• Respiratory Health Association of Metropolitan Chicago (RHAMC), 2018. Persisting racial disparities among chicago children with asthma. Available from: https://resphealth.org/ [Accessed 8 Jan 2021].
   Google Scholar
• Rodriguez, A., et al., 2019. Urbanization and asthma in low-income and middle-income countries: a systematic review of the urban–rural differences in asthma prevalence. Thorax, 74, 1020–1030. doi:10.1136/thoraxjnl-2018-211793
   PubMed Web of Science ®Google Scholar
• Ross, M.K., Romero, T., and Szilagyi, P.G., 2021. Adverse childhood experiences and association with pediatric asthma severity in the 2016-2017 National Survey of Children’s Health. Academic pediatrics, 21 (6), 1025–1030. doi:10.1016/j.acap.2021.04.021
   Web of Science ®Google Scholar
• Schroeder, S.A., 2007. We can do better improving the health of the American people. New England journal of medicine, 357 (12), 1221–1228. doi:10.1056/NEJMsa073350
   PubMed Web of Science ®Google Scholar
• Scott, D.W., 1979. On optimal and data-based histograms. Biometrika, 66 (3), 605–610. doi:10.1093/biomet/66.3.605
   Web of Science ®Google Scholar
• Shah, R. and Newcomb, D.C., 2018. Sex bias in asthma prevalence and pathogenesis. Frontiers in immunology, 9. https://www.frontiersin.org/article/10.3389/fimmu.2018.0299 [Accessed 12 Jan 2021].
   Web of Science ®Google Scholar
• Silverman, B.W., 1986. Density estimation for statistics and data analysis. New York: Chapman and Hall.
   Google Scholar
• Škarková, P., et al., 2015. Refining of asthma prevalence spatial distribution and visualization of outdoor environment factors using gis and its application for identification of mutual associations. Central European journal of public health, 23 (3), 258–266.
   Web of Science ®Google Scholar
• Soyiri, I.N. and Alcock, I., 2018. Green spaces could reduce asthma admissions. The lancet respiratory medicine, 6 (1), e1. doi:10.1016/S2213-2600(17)30441-1
   Web of Science ®Google Scholar
• Sullivan, K. and Thakur, N., 2020. Structural and social determinants of health in asthma in developed economies: a scoping review of literature published between 2014 and 2019. Current allergy and asthma reports, 20 (2), 5. doi:10.1007/s11882-020-0899-6
   PubMed Web of Science ®Google Scholar
• Sullivan, W.C., et al., 2014. Meets Asclepius: creating healthy places. Landscape and urban planning, 127, 182–184. doi:10.1016/j.landurbplan.2014.03.005
   Web of Science ®Google Scholar
• Tan, P.N., Steinbach, M., and Kumar, V., 2016. Introduction to data mining. Noida: Pearson Education India.
   Google Scholar
• Tango, T. and Takahashi, K., 2005. A flexibly shaped spatial scan statistic for detecting clusters. International journal of health geographics, 4 (1), 1–15. doi:10.1186/1476-072X-4-11
   PubMedGoogle Scholar
• Thakur, N., et al., 2019. Acculturation is associated with asthma burden and pulmonary function in Latino youth: the GALA II study. The journal of allergy and clinical immunology, 143 (5), 1914–1922. doi:10.1016/j.jaci.2018.12.1015
   PubMed Web of Science ®Google Scholar
• Thomas, S.D. and Whitman, S., 1999. Asthma hospitalizations and mortality in Chicago: an epidemiologic overview. Chest, 116 (4Suppl 1), 135S–141S. doi:10.1378/chest.116.suppl_2.135S
   Google Scholar
• Thornton, R.L., et al., 2016. Evaluating strategies for reducing health disparities by addressing the social determinants of health. Health affairs, 35 (8), 1416–1423. doi:10.1377/hlthaff.2015.1357
   PubMed Web of Science ®Google Scholar
• U.S. Environmental Protection Agency (EPA), 2021. Downscaler model for predicting daily air pollution. Available from: https://www.epa.gov/air-research/downscaler-model-predicting-daily-air-pollution [Accessed 8 Jan 2021].
   Google Scholar
• U.S. Environmental Protection Agency (EPA), 2020. Particle pollution and your patients’ health. Available from: https://www.epa.gov/particle-pollution-and-your-patients-health/health-effects-pm-patients-lung-disease [Accessed 8 Jan 2021].
   Google Scholar
• Ulmer, J.M., et al., 2016. Multiple health benefits of urban tree canopy: the mounting evidence for a green prescription. Health place, 42, 54–62. https://doi.org/10.1016/%26 j.healthplace.2016.08.011
   PubMed Web of Science ®Google Scholar
• Van, D.A., 2017. Urban planning and respiratory health. The lancet respiratory medicine, 5 (10), 781–782. doi:10.1016/S2213-2600(17)30340-5
   Web of Science ®Google Scholar
• Wang, L., et al., 2019. Spatial analysis of built environment risk for respiratory health and its implication for urban planning: a case study of Shanghai. International journal of environmental research and public health, 16 (8), 1455. doi:10.3390/ijerph16081455
   Web of Science ®Google Scholar
• Wang, L., et al., 2020. Impact of high-density urban built environment on chronic obstructive pulmonary disease: a case study of Jing’an District, Shanghai. International journal of environmental research and public health, 17 (1), 252.
   Web of Science ®Google Scholar
• Watkins, S.L., et al., 2017. Is planting equitable? An examination of the spatial distribution of nonprofit urban tree-planting programs by canopy cover, income, race, and ethnicity. Environment and behavior, 49 (4), 452–482. doi:10.1177/0013916516636423
   Web of Science ®Google Scholar
• Weinstein, S.M., et al., 2019. Family chaos and asthma control. Pediatrics, 144 (2), e20182758. doi:10.1542/peds.2018-2758
   PubMed Web of Science ®Google Scholar
• Wen, Q.G., et al., 2017. Different types of housing and respiratory health outcomes. Preventive medicine reports, 7, 124–129. doi:10.1016/j.pmedr.2017.05.018
   Google Scholar
• Wong, G.W. and Chow, C.M., 2008. Childhood asthma epidemiology: insights from comparative studies of rural and urban populations. Pediatric pulmonology, 43 (2), 107–116. doi:10.1002/ppul.20755
   PubMed Web of Science ®Google Scholar
• World Health Organization (WHO), 2003. Social determinants of health: the solid facts. Wilkinson, R. G., & Marmot, M. (Eds.). Copenhagen: World Health Organization.
   Google Scholar
• World Health Organization (WHO), 2013. Review of evidence on health aspects of air pollution—REVIHAAP Project. 309.
   Google Scholar
• World Health Organization (WHO), 2018a. Ambient air pollution. In: glob. Heal. Obs. data. Available from: http://www.who.int/gho/phe/outdoor_air_pollution/en/ [Accessed 8 Jan 2021].
   Google Scholar
• World Health Organization (WHO), 2018b. Global health estimates 2016. Deaths by cause, age, sex, by country and by region, 2000-2016. Geneva.
   Google Scholar
• Yu, J., et al., 2011. Do indoor environments influence asthma and asthma-related symptoms among adults in homes? A review of the literature. Journal of the formosan medical association, 110 (9), 555–563. doi:10.1016/j.jfma.2011.07.003
   Web of Science ®Google Scholar
• Zahran, H.S. and Bailey, C., 2013. Factors associated with asthma prevalence among racial and ethnic groups—United States, 2009–2010 behavioral risk factor surveillance system. Journal of asthma, 50 (6), 583–589. doi:10.3109/02770903.2013.794238
   PubMed Web of Science ®Google Scholar