MPC Member Publications

This database contains a listing of population studies publications written by MPC Members. Anyone can add a publication by an MPC student, faculty, or staff member to this database; new citations will be reviewed and approved by MPC administrators.

Full Citation

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

Citation Type: Journal Article

Publication Year: 2017

ISSN: 0950-2688

DOI: 10.1017/S0950268817002291

Abstract: <p>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 ⩾65 years, a 56% increased risk among census block groups in the bottom (first) quartile of median household income compared to the top (fourth) quartile, a 44% higher risk in the fourth quartile of average nitrogen dioxide emissions compared with the first quartile, and a 47% higher risk in the fourth quartile of average annual solar insolation compared to the first quartile. After adjusting for income, moving from the first to the second quartile of the race/ethnic diversity index resulted in a 21% significantly increased risk of pneumonia hospitalization. In conclusion, the risk of pneumonia hospitalization at the census-block level is associated with age, income, race/ethnic diversity index, air quality, and solar insolation, and varies by region-specific factors. Identifying correlates using fine spatial analysis provides opportunities for targeted prevention and control.</p>

Url: https://www.cambridge.org/core/product/identifier/S0950268817002291/type/journal_article

User Submitted?: No

Authors: IROH TAM, P. Y.; Krzyzanowski, Brittany; Oakes, J Michael; Kne, Len; Manson, Steven M

Periodical (Full): Epidemiology and Infection

Issue: 15

Volume: 145

Pages: 3274-3283

Countries:

IPUMS NHGIS NAPP IHIS ATUS Terrapop