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Intimate partner violence in Madrid: a time series analysis (2008-2016)
Belén Sanz-Barbero1, Cristina Linares2, Carmen Vives-Cases3
1National School of Public Health, Carlos III Institute of Health, Madrid, Spain; CIBER of Epidemiology and Public Health (CIBERESP), Spain.
Annals of Epidemiology
|June 18, 2018
Summary
This study analyzed intimate partner violence (IPV) time patterns. Models predicted IPV helpline calls and police reports, highlighting the need for increased resources on weekends and holidays.
Area of Science:
- Criminology
- Public Health
- Statistics
Background:
- Intimate Partner Violence (IPV) is a significant societal issue.
- Understanding temporal patterns in IPV indicators is crucial for resource allocation and intervention strategies.
Purpose of the Study:
- To analyze time patterns in intimate partner violence (IPV) indicators.
- To develop predictive models for IPV time series data.
Main Methods:
- Utilized univariate autoregressive moving average (ARMA) models.
- Analyzed daily call data to the 016 telephone IPV helpline (2008-2015).
- Analyzed daily police reports of IPV in Madrid (2008-2015).
Main Results:
- Calls to the 016 IPV helpline showed a decrease (2008-2012) followed by an increase (2012-2015).
- IPV police reports increased on weekends and holidays; helpline calls increased on Mondays.
- ARMA models predicted 64.2% of helpline calls and 73.2% of police reports for 2016.
Conclusions:
- Suggests a need for increased police and judicial resources on non-work days.
- Recommends enhanced activity for the 016 IPV helpline during weekdays.
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