Research and development - Seminars
COVID-19 quarantines have had multiple social effects in terms of family isolation, economic uncertainty, and general stress that have a potential increase in domestic violence cases. We use information on restrictions imposed on mobility and a quantification of mobility changes to develop a spatio-temporal model for predicting domestic violence accompanied by machine learning interpretation techniques to understand the association of mobility patterns with domestic violence incidents in Bogota. In addition, we estimate different OLS-based regression models to study the causal relationship between quarantine duration and domestic violence, which we initially found to be significant from the spatio-temporal predictive approach.
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