Quit rates are significant because they help measure the success of public health initiatives and individual treatment programs. High quit rates can indicate successful intervention strategies, while low quit rates may suggest the need for improved or alternative approaches. Understanding these rates aids epidemiologists in designing more effective health policies and allocating resources efficiently.
