Comprehensive data in epidemiology includes various attributes such as completeness, accuracy, timeliness, and consistency. It should cover a wide range of factors, including demographic details, exposure histories, clinical information, and outcomes. Comprehensive data allows for a holistic understanding of health issues and aids in the development of multifaceted interventions.
