Impact of geo-imputation on epidemiologic associations in a study of outdoor air pollution and respiratory hospitalization
| Autor: | Edward F. Fitzgerald, Francis P. Boscoe, Syni-An Hwang, Shao Lin, Rena R. Jones, Danielle N. Medgyesi |
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| Rok vydání: | 2019 |
| Předmět: |
Epidemiology
Fine particulate Health Toxicology and Mutagenesis 030231 tropical medicine Geography Planning and Development Air pollution New York Health records medicine.disease_cause Sensitivity and Specificity 03 medical and health sciences 0302 clinical medicine Spatio-Temporal Analysis Environmental health medicine Humans 030212 general & internal medicine Imputation (statistics) Air Pollutants business.industry Spatial error Hazard ratio Asthma Hospitalization Infectious Diseases Particulate Matter Rural area business Environmental Monitoring |
| Zdroj: | Spatial and spatio-temporal epidemiology. 32 |
| ISSN: | 1877-5853 |
| Popis: | Imputation of missing spatial attributes in health records may facilitate linkages to geo-referenced environmental exposures, but few studies have assessed geo-imputation impacts on epidemiologic inference. We imputed patient Census tracts in a case-crossover analysis of fine particulate matter (PM2.5) and respiratory hospitalizations in New York State (2000–2005). We observed non-significantly higher PM2.5 exposures, high accuracy of binary exposure assignment (89 to 99%), and marginally different hazard ratios (HRs) (−0.2 to 0.7%). HR differences were greater in urban versus rural areas. Given its efficiency and nominal influence on accuracy of exposure classification and measures of association, geo-imputation is a candidate method to address missing spatial attributes for health studies. |
| Databáze: | OpenAIRE |
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