Evaluating the effectiveness of public health interventions is essential for disease control. Randomized controlled trials (RCTs) are considered the gold standard for determining the efficacy of interventions. However, RCTs are not always feasible, necessitating the use of quasi-experimental designs and observational studies. The challenge lies in accounting for biases and ensuring that the observed effects are due to the intervention itself.
