Despite their advantages, there are challenges associated with using advanced data analytics tools in epidemiology:
Data Quality: The accuracy of analysis depends on the quality of the data collected, which can sometimes be inconsistent or incomplete. Privacy Concerns: Handling sensitive health data requires strict adherence to privacy regulations and ethical guidelines. Technical Expertise: Advanced tools require specialized knowledge and skills, which may not be readily available in all epidemiological settings. Integration: Combining data from disparate sources and ensuring compatibility can be complex.
