What Challenges are Associated with Data Integration in Epidemiology?
Despite its benefits, data integration in epidemiology is fraught with challenges:
Data compatibility: Different data sources may use varying formats, standards, and terminologies, making integration difficult. Data quality: Variability in data quality across sources can affect the reliability of integrated datasets. Privacy concerns: Integrating data often involves handling sensitive information, raising issues of privacy and confidentiality. Resource constraints: The process of data integration can be resource-intensive, requiring advanced technical infrastructure and skilled personnel.
