The complexity of information in epidemiology presents several challenges. Data quality is a major concern, as inaccurate or incomplete data can lead to incorrect conclusions. Ensuring data privacy and security is also critical, especially when dealing with sensitive health information. Additionally, bias in data collection and analysis can skew results, making it essential to use rigorous methodologies to minimize its impact.
