Development and implementation of an epidemiological monitoring system for the surveillance and risk prediction of intimate partner violence against women in Spain (IPVAW-Monitor)

This research project proposes the development and implementation of an advanced epidemiological monitoring system for the surveillance and risk prediction of IPVAW in Spain (the IPVAW-Monitor).

Acronym

VG-Monitor

Reference code

PID2022-137942OB-I00

Description

This research project proposes the development and implementation of an advanced epidemiological monitoring system for the surveillance and risk prediction of IPVAW in Spain (the IPVAW-Monitor). The analytical framework underpinning the proposed epidemiological monitoring system is based on the application of Bayesian spatio-temporal models to analyze geographic patterns and temporal trends of risk in small-area ecological studies, using geocoded data of all reported cases of IPVAW in Spain. The high-resolution epidemiological monitoring system that we aim to develop and implement in this research project, will analyze the geographical distribution of the risk of IPVAW in Spain over the years, taking into account as the minimum unit of analysis the census block groups, as well as their aggregation into broader geographic units (municipalities, regions, and autonomous communities). This will allow identifying areas with different levels of risk and the evolution of risk over time, to analyze whether the spatial and temporal distribution patterns of IPVAW risk are linked to the characteristics of the geographical areas analyzed, and to make predictions of future IPVAW risk.

Keywords

intimate partner violence, violence against women, gender-based violence, Bayesian spatio-temporal modeling, small-area study, disease mapping, spatio-temporal epidemiology, ecological study, risk prediction

Principal investigators: