Data entry mistakes can result in biased estimates, which can mislead policymakers and healthcare providers. This can affect everything from disease surveillance to the evaluation of public health interventions. For instance, errors in data entry can lead to incorrect identification of risk factors, which in turn can affect resource allocation and the development of preventive measures.
