@article{ref1,
title="Predicting childhood sexual or physical abuse: a logistic regression geo-mapping approach to prevention",
journal="AMIA annual symposium proceedings",
year="2005",
author="Tadoum, Roland K. and Smolij, Kamila and Lyn, Michelle A. and Johnson, Craig W.",
volume="",
number="",
pages="1130-1130",
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.<p /> <p>Language: en</p>",
language="en",
issn="1559-4076",
doi="",
url="http://dx.doi.org/"
}