Trends and Forecasted Rates of Child Abuse Cases and Support Studies: A Study Utilizing ARIMA Model

Humanities and Social Sciences

Child abuse is a significant social issue that impacts the well-being of children. This paper utilized time series data for trend analysis and forecasting using the ARIMA model to visualize the trends of child abuse cases served in the Philippines, specifically focusing on the different types of abuse reported. Figures for every kind of abuse are presented individually using GRETL software. The results of the forecasting showed that neglect was the most prevalent type of child abuse reported, and sexual abuse ranked second. And the least reported cases were pedophilia. The findings highlight the continued challenges in handling child abuse in the Philippines. Future research will focus on refining these trends and exploring other forecasting methods to improve the effectiveness of child protection interventions.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.