Communication: Visual tools can communicate complex epidemiological data to non-experts, including policymakers and the general public. Pattern Recognition: Visual aids help in recognizing patterns in the spread of diseases, which can be crucial for early intervention. Data Analysis: Visualization allows for a more detailed analysis of data, including the identification of trends and outliers.
