Several factors can compromise data integrity in epidemiology: 1. Human Error: Mistakes in data entry, interpretation, or analysis can lead to inaccuracies. 2. Data Manipulation: Intentional manipulation of data to support a specific outcome undermines the reliability of the findings. 3. Technical Issues: Software bugs, hardware malfunctions, or cyber-attacks can also impact data integrity.
