This research project is focused on the application of Joinpoint Regression Analysis in socio-economic studies, such as public health for istance.
Joinpoint Regression Analysis is a powerful statistical method that allows us to identify critical inflection points or “joinpoints” in temporal data, enabling us to discern trends, discontinuities, and shifts in disease patterns over time. The project aims to leverage this method to enhance our understanding of (a case study of) public health dynamics, assess the impact of public health interventions, and identify significant risk factors associated with specific health outcomes.