How Do Data Quality Issues Affect Epidemiological Studies?
Data quality is a major concern in epidemiology. Incomplete, inaccurate, or inconsistent data can lead to biased results and erroneous conclusions. Issues such as misclassification of diseases, underreporting, and data entry errors can all compromise the validity of a study. Ensuring high data quality involves proper training of data collectors, using standardized data collection tools, and implementing quality control measures.
