Why Use Kernel Density Estimation in Epidemiology?
KDE is used in epidemiology to identify hotspots of disease occurrence, which can inform public health interventions and resource allocation. It allows researchers to create smooth density surfaces over a geographical area, providing insights into areas with high and low concentrations of cases. This is critical for understanding the spread of infectious diseases, identifying clusters of chronic conditions, and monitoring environmental health risks.
