What are the Challenges in Data Visualization in Epidemiology?
Despite its benefits, data visualization in epidemiology faces several challenges:
Data Quality: Inaccurate or incomplete data can lead to misleading visualizations. Complexity: Epidemiological data can be complex, and creating accurate visualizations that are easy to interpret can be challenging. Data Privacy: Ensuring that visualizations do not compromise the privacy of individuals is crucial. Interoperability: Integrating data from different sources and formats can be problematic.