Predicting childhood sexual or physical abuse: a logistic regression geo-mapping approach to prevention.
AMIA Annu Symp Proc. 2005; 2005: 1130.
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.
Child, Child Abuse, Child Abuse, Sexual, Family Characteristics, Female, Geographic Information Systems, Humans, Logistic Models, Male, Retrospective Studies, Risk Factors, United States