Resumen de Análisis de los homicidios y asesinatos contra las mujeres en las relaciones de pareja mediante un enfoque computacional
Esperanza García Vergara
Violence against women within relationships constitutes a grave social and public health problem that affects millions of women worldwide. This form of violence manifests itself in physical, sexual, psychological, economic, and social abuses perpetrated by men against women partners or ex-partners. The most severe form of this violence is Intimate Partner Femicide (IPF), which refers to the act of killing women in intimate partner relationships. Globally, IPF accounts for approximately 38.6 percent of all homicides, resulting in more than 30,000 women murdered each year. This lethal result is the leading cause of violent deaths among women and is estimated to continue in the future. The magnitude of the problem manifests the risks women face in the context of intimate relationships, stressing the urgent need for anticipate IPF based on scientific evidence to prevent it. Previous studies have identified several predictors of IPF, which include characteristics of the aggressor, the victim, and the context. These predictors are critical components of risk assessment instruments for IPF, which are essential to evaluate the potential risk of IPF and to utilize this information to implement appropriate interventions for aggressors and develop safety plans for victims. It is crucial for these instruments to accurately differentiate between potential lethal and nonlethal violence to ensure that cases of IPF are effectively identified. This capacity enables professionals to efficiently prioritize and optimize limited resources in high-risk cases, focusing efforts to provide rapid, extensive, and effective protection to victims who face the highest risk of IPF. Although existing risk assessment instruments have allowed the identification of high-risk cases of IPF and the implementation of actions to prevent fatal outcomes, there remains a margin of error in the predictions. There have been cases detected as low-risk that subsequently resulted in IPF. There is a need for further research to analyze these cases to detect new predictors from those identified in the scientific literature and incorporate those into risk assessment instruments. Enhancing the accuracy and effectiveness of identifying cases at risk of IPF is crucial for effective prevention.
