Citation

Lehna C, Furmanek S, Hanchette C. Burns 2018; 44(6): 1585-1590.

Affiliation

University of Louisville Department of Geography and Geosciences, Louisville, KY, United States. Electronic address: carol.hanchette@louisville.edu.

Copyright

(Copyright © 2018, Elsevier Publishing)

DOI

10.1016/j.burns.2018.02.002

PMID

29503046

Abstract

We assessed whether a home fire safety intervention targeting families with newborn children in Jefferson County, Kentucky, reached those at severe risk using a cartographic model. Demographic and economic factors of 61 families were compared by census tract. Using geographic information systems (GIS), families were assigned a risk level (low, medium, high, or severe) based on the risk model. Families who participated differed from census tracts in that of being minority race (p=0.01). The median risk category of the families was medium risk. Sixty-five tracts were identified as high or severe risk and in need of future intervention. The model yielded a way to prioritize at-risk families. GIS is a useful tool for examining whether prevention interventions reached those in the severe risk category.

Copyright © 2018. Published by Elsevier Ltd.

Language: en

Keywords

Burns; Geographic information systems; Infant; Prevention