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

P. Y. Iroh Tam; B. Krzyzanowski; J. M. Oakes; L. Kne; S. Manson

doi:10.1017/S0950268817002291

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

P. Y. Iroh Tam, B. Krzyzanowski, J. M. Oakes, L. Kne, S. Manson

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

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	https://doi.org/10.1017/S0950268817002291
State	Published - Nov 1 2017

Bibliographical note

Publisher Copyright:
Copyright © Cambridge University Press 2017.

Keywords

Infectious diseases epidemiology
Lower respiratory tract infections
Pneumonia
Spatial modeling

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1017/S0950268817002291

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5939345

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

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.",

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note = "Publisher Copyright: Copyright {\textcopyright} Cambridge University Press 2017.",

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T1 - Spatial variation of pneumonia hospitalization risk in Twin Cities metro area, Minnesota

AU - Iroh Tam, P. Y.

AU - Krzyzanowski, B.

AU - Oakes, J. M.

AU - Kne, L.

AU - Manson, S.

PY - 2017/11/1

Y1 - 2017/11/1

N2 - 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.

AB - 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.

KW - Infectious diseases epidemiology

KW - Lower respiratory tract infections

KW - Pneumonia

KW - Spatial modeling

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JO - Epidemiology and infection

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ER -

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

Abstract

Bibliographical note

Keywords

UN SDGs

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