Despite best efforts, several challenges can compromise the authenticity of epidemiological data:
Bias: Selection bias, reporting bias, and other forms of bias can skew results. Data Quality: Inconsistent or incomplete data can lead to incorrect conclusions. Political and Economic Pressures: Governments or organizations may influence data interpretation to fit certain narratives. Technological Limitations: Insufficient technology for data collection and analysis can lead to errors.
