Geospatial data is critical in epidemiology for several reasons:
Disease Mapping: It helps in visualizing the distribution of diseases across different regions, identifying hotspots, and understanding the spread of infectious diseases. Risk Factor Analysis: It enables researchers to identify and analyze environmental and socio-economic factors that correlate with health outcomes. Resource Allocation: It aids in the efficient allocation of healthcare resources by identifying areas with higher disease prevalence and healthcare needs. Policy Making: It informs public health policies and interventions by providing evidence-based insights into disease patterns and determinants.
