Granular data is crucial in epidemiology for several reasons:
Precision: It allows for a more precise understanding of disease patterns and risk factors. Targeted Interventions: Enables the development of targeted public health interventions and policies. Subpopulation Analysis: Facilitates analysis of specific subpopulations, which might otherwise be overlooked in aggregate data. Trend Analysis: Helps in identifying trends and outbreaks at a very local level.
