Spatial prevalence and associations among respiratory diseases in Maine

Christopher Farah, H. Dean Hosgood, Janet M. Hock

Research output: Contribution to journalArticle

5 Scopus citations

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 (R2=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.

Original languageEnglish (US)
Pages (from-to)11-22
Number of pages12
JournalSpatial and Spatio-temporal Epidemiology
Volume11
DOIs
StatePublished - Oct 1 2014

Keywords

  • Environmental health
  • Health disparities
  • Respiratory disease
  • Spatial epidemiology
  • Spatial statistics

ASJC Scopus subject areas

  • Epidemiology
  • Geography, Planning and Development
  • Infectious Diseases
  • Health, Toxicology and Mutagenesis

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