In epidemiology, the integrity of data is paramount as it forms the basis for understanding the distribution and determinants of health-related events in populations. Errors in data entry can lead to misleading results, incorrect conclusions, and ultimately, inappropriate public health interventions. Double entry helps to mitigate these risks by ensuring that the data is as accurate as possible. This is particularly important in large-scale studies where even minor errors can have significant implications.
