Spatial variation of pneumonia hospitalization risk in Twin Cities metro area, Minnesota

Research output: Contribution to journalArticle

Abstract

Fine resolution spatial variability in pneumonia hospitalization may identify correlates with socioeconomic, demographic and environmental factors. We performed a retrospective study within the Fairview Health System network of Minnesota. Patients 2 months of age and older hospitalized with pneumonia between 2011 and 2015 were geocoded to their census block group, and pneumonia hospitalization risk was analyzed in relation to socioeconomic, demographic and environmental factors. Spatial analyses were performed using Esri's ArcGIS software, and multivariate Poisson regression was used. Hospital encounters of 17 840 patients were included in the analysis. Multivariate Poisson regression identified several significant associations, including a 40% increased risk of pneumonia hospitalization among census block groups with large, compared with small, populations of

Original languageEnglish (US)
Pages (from-to)3274-3283
Number of pages10
JournalEpidemiology and infection
Volume145
Issue number15
DOIs
StatePublished - Nov 1 2017

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Pneumonia
Hospitalization
Censuses
Hospitalization Insurance
Geographic Mapping
Demography
Spatial Analysis
Software
Retrospective Studies
Health
Population

Keywords

  • Infectious diseases epidemiology
  • Lower respiratory tract infections
  • Pneumonia
  • Spatial modeling

Cite this

Spatial variation of pneumonia hospitalization risk in Twin Cities metro area, Minnesota. / Iroh Tam, Pui-Ying; Krzyzanowski, B.; Oakes, Michael; Kne, Len; Manson, Steven M.

In: Epidemiology and infection, Vol. 145, No. 15, 01.11.2017, p. 3274-3283.

Research output: Contribution to journalArticle

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