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Frontiers | Surveillance of Domestic Violence Using Text Mining Outputs From Australian Police Records

In Australia, domestic violence reports are mostly based on data from the police, courts, hospitals, and ad hoc surveys. However, gaps exist in reporting information such as victim injuries, mental health status and abuse types. The police record details of domestic violence events as structured information (e.g., gender, postcode, ethnicity), but also in text narratives describing other details such as injuries, substance use, and mental health status. However, the voluminous nature of the narratives has prevented their use for surveillance purposes. We used a validated text mining methodology on 492,393 police-attended domestic violence event narratives from 2005 to 2016 to extract mental health mentions on persons of interest (POIs) (individuals suspected/charged with a domestic violence offence) and victims, abuse types, and victim injuries. A significant increase was observed in events that recorded an injury type (28.3% in 2005 to 35.6% in 2016). The pattern of injury and abuse t ....

United Kingdom , New York , United States , New South Wales , South Korea , South Wales , City Of , Australian Capital Territory , Weulen Kranenbarg , Los Angeles , Van Toorn , Matthew Mccarthy , Spectr Disord , Hagos Kidane , World Health Organization International Classification Of Diseases , Crime Research , Human Research Ethics Committee , Palgrave Macmillan , Australian Bureau Of Statistic Personal Safety , Australian Bureau Of Statistics , Wales Police Force , Law Enforcement Conduct Commission , Eurj Public Health , Australian Institute Of Criminology Research Grant , Centre For Research Excellence Grant , World Health Organization Pan American ,