Despite its potential, integrating big data in epidemiology presents several challenges:
Data Privacy: Ensuring the confidentiality and security of sensitive health data is paramount. Data Quality: Inconsistent or incomplete data can compromise the accuracy of analyses. Interoperability: Different data formats and systems need to be compatible for effective integration. Ethical Considerations: The use of data must align with ethical standards and avoid discrimination. Technical Expertise: Handling and analyzing big data requires advanced technical skills and knowledge.