Categorization serves multiple purposes in epidemiology:
Organizing Data: By grouping similar data, researchers can manage and analyze large datasets more effectively. Identifying Risk Factors: Categorization helps in pinpointing particular groups that are at higher risk for certain health outcomes. Comparative Analysis: It allows for comparison between different groups or categories, providing insights into the efficacy of interventions and policies. Communication: Structured data presentation facilitates better communication of findings to stakeholders.
