A geographic identifier assignment algorithm with Bayesian variable selection to identify neighborhood factors associated with emergency department visit disparities for asthma

A geographic identifier assignment algorithm with Bayesian variable selection to identify neighborhood factors associated with emergency department visit disparities for asthma

Abstract Background Ecologic health studies often rely on outcomes from health service utilization data that are limited by relatively coarse spatial resolutions and missing geographic information, particularly neighborhood level identifiers. When fine-scale geographic data are missing, the ramifica...

Full description

Bibliographic Details
Main Authors: Matthew Bozigar, Andrew Lawson, John Pearce, Kathryn King, Erik Svendsen
Format: Article
Language:English
Published: BMC 2020-03-01
Series:International Journal of Health Geographics
Subjects:
Bayesian spatio-temporal modeling
Geographic imputation
Respiratory diseases
Social determinants of health
Air pollution
Hospitalization record data
Online Access:http://link.springer.com/article/10.1186/s12942-020-00203-7

Internet

http://link.springer.com/article/10.1186/s12942-020-00203-7

Similar Items