What are the Challenges in Using Algorithms in Epidemiology?
Despite their benefits, there are several challenges in using algorithms in epidemiology:
Data Quality: Algorithms rely on high-quality data, but datasets may be incomplete, inaccurate, or biased. Complexity: Some models are complex and require significant computational resources and expertise to implement. Ethical Concerns: The use of algorithms raises ethical issues related to privacy, data security, and informed consent. Interpretability: Understanding and interpreting the results of complex models can be challenging for stakeholders.
