In epidemiological studies, data integrity is paramount for several reasons:
Accuracy: Accurate data enables researchers to draw valid conclusions and make reliable predictions about disease trends and risk factors. Consistency: Consistent data ensures that results can be replicated and verified by other researchers, which is a cornerstone of scientific investigation. Reliability: Reliable data supports evidence-based decision-making, which is crucial in public health policy and emergency responses.
