Data gaps are crucial because they can lead to misinformed public health policies, inadequate resource allocation, and ultimately, ineffective disease prevention and control. Without comprehensive data, it becomes challenging to identify emerging health threats, understand disease patterns, and evaluate the impact of health interventions.
