What Are the Challenges of Using Genomic Algorithms in Epidemiology?
Despite their advantages, several challenges exist:
- Data Complexity: Genomic data is complex and requires significant computational resources for processing and analysis.
- Interpretation of Results: Translating the results of genomic analyses into actionable public health strategies can be challenging.
- Ethical Considerations: The use of genetic data raises concerns about privacy, consent, and the potential for discrimination.
- Data Integration: Combining genomic data with epidemiological data from various sources can be difficult due to differences in data formats and collection methods.
