Local variability in the impacts of residential particulate matter and pest exposure on children’s wheezing severity: a geographically weighted regression analysis of environmental health justice

In this study, results demonstrate that geographically weighted regression (GWR) is a powerful tool for understanding relationships between environmental conditions, social characteristics, and health inequalities. In this case, GWR results suggest pest remediation as a tool to improve children’s respiratory health in the “downtown,” “south side,” and “northeast” sides of El Paso.

Author Name(s): 
Grineski, SaraE
 Collins, TimothyW
 Olvera, HectorA
Citation: 

Grineski, S., T. Collins and H. Olvera.  2015.  Local variability in the impacts of residential particulate matter and pest exposure on children’s wheezing severity: a geographically weighted regression analysis of environmental health justice. Population and Environment 37(1): 22-43.

Publication type: 
Articles
Journal Article
Publication year: 
2015
Scale: 
Nat. Res. and Env. Stressors: 
Methodology: 
Major Region: 
Language: