What Challenges Do Epidemiologists Face When Using These Libraries?
Despite their advantages, custom visualization libraries come with challenges:
Technical Complexity: Requires knowledge of programming languages such as JavaScript or R. Data Privacy: Ensuring that visualizations do not expose sensitive information. Scalability: Handling large datasets without compromising performance.
Overcoming these challenges often requires collaboration between epidemiologists and data scientists to leverage the full potential of these tools.
