Despite its limitations, correlational data is invaluable in public health. It can help identify potential risk factors that need to be addressed. For instance, if a strong correlation is found between air pollution and respiratory illnesses, public health officials might advocate for policies to reduce emissions. Additionally, correlational data can help target interventions to specific populations at risk.
