Data entry error refers to inaccuracies or mistakes made while recording data into a system. These errors can arise from various sources such as manual entry, software glitches, or misinterpretation of the data. In the context of epidemiology, data entry errors can significantly affect the outcomes and interpretations of research studies, as well as public health decisions.
