Data loss in epidemiology can occur due to several reasons:
Non-response: Individuals may refuse to participate in surveys or drop out of longitudinal studies, leading to incomplete data. Data entry errors: Mistakes during data input can result in missing or incorrect data. Technical failures: System crashes, software bugs, and hardware malfunctions can lead to data loss. Inadequate follow-up: Failure to track participants over time can result in gaps in data collection. Data corruption: Files can become corrupted due to viruses, power failures, or other unforeseen events.
