What are the Challenges in Data Analytics for Epidemiology?
Despite its benefits, data analytics in epidemiology faces several challenges:
Data Quality: Inconsistencies and inaccuracies in data collection can lead to unreliable results. Data Integration: Combining data from multiple sources can be complex and may require sophisticated techniques. Privacy Concerns: Ensuring the confidentiality and security of sensitive health data is paramount. Resource Limitations: Limited access to advanced analytical tools and trained personnel can hinder analysis.
