Citation

Tadoum RK, Smolij K, Lyn MA, Johnson CW. AMIA Annu. Symp. Proc. 2005; 1130.

Affiliation

University of Texas at Houston - School of Health Information Sciences, USA.

Copyright

(Copyright © 2005, American Medical Informatics Association)

DOI

unavailable

PMID

16779417

PMCID

PMC1560670

Abstract

This study investigates the degree to which gender, ethnicity, relationship to perpetrator, and geomapped socio-economic factors significantly predict the incidence of childhood sexual abuse, physical abuse and non- abuse. These variables are then linked to geographic identifiers using geographic information system (GIS) technology to develop a geo-mapping framework for child sexual and physical abuse prevention.

Language: en