| Literature DB >> 25457593 |
Christopher Farah1, H Dean Hosgood2, Janet M Hock3.
Abstract
Chronic respiratory diseases rank among the leading global disease burdens. Maine's respiratory disease prevalence exceeds the US average, despite limited urbanization/industrialization. To provide insight into potential etiologic factors among this unique, rural population, we analyzed the spatial distributions of, and potential associations among asthma, COPD, pneumonia, and URI adult outpatient data (n=47,099) from all outpatient transactions (n=5,052,900) in 2009 for Maine hospitals and affiliate clinics, using spatial scan statistic, geographic weighted regression (GWR), and a Delaunay graph algorithm. Non-random high prevalence regions were identified, the majority of which (84% of the population underlying all regions) exhibited clusters for all four respiratory diseases. GWR provided further evidence of spatial correlation (R(2)=0.991) between the communicable and noncommunicable diseases under investigation, suggesting spatial interdependence in risk. Sensitivity analyses of known respiratory disease risks did not fully explain our results. Prospective epidemiology studies are needed to clarify all contributors to risk.Entities:
Keywords: Environmental health; Health disparities; Respiratory disease; Spatial epidemiology; Spatial statistics
Mesh:
Year: 2014 PMID: 25457593 DOI: 10.1016/j.sste.2014.07.004
Source DB: PubMed Journal: Spat Spatiotemporal Epidemiol ISSN: 1877-5845