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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 3274-3283 |
| Number of pages | 10 |
| Journal | Epidemiology and infection |
| Volume | 145 |
| Issue number | 15 |
| DOIs | |
| State | Published - Nov 1 2017 |
Bibliographical note
Publisher Copyright:Copyright © Cambridge University Press 2017.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being -
SDG 11 Sustainable Cities and Communities
Keywords
- Infectious diseases epidemiology
- Lower respiratory tract infections
- Pneumonia
- Spatial modeling
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