title: Predicting childhood sexual or physical abuse: a logistic regression geo-mapping approach to prevention.
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.
authors.affiliation: University of Texas at Houston - School of Health Information Sciences, USA.
authors.forename: Roland K
authors.initials: RK
authors.lastname: Tadoum
authors.forename: Kamila
authors.initials: K
authors.lastname: Smolij
authors.forename: Michelle A
authors.initials: MA
authors.lastname: Lyn
authors.forename: Craig W
authors.initials: CW
authors.lastname: Johnson
mesh_terms: D002648:Child; D002649:Child Abuse / Q000208:ethnology / Q000517:prevention & control*; D002650:Child Abuse, Sexual / Q000517:prevention & control; D005191:Family Characteristics; D005260:Female; D040362:Geographic Information Systems; D006801:Humans; D016015:Logistic Models; D008297:Male; D012189:Retrospective Studies; D012307:Risk Factors; D014481:United States