Scoping review reveals digital surveillance enhances early detection of infectious disease outbreaks, suggesting improvements in methodologies and accuracy metrics.
Key Points
Digital surveillance significantly improves lead times for detecting infectious diseases, often days to weeks ahead of traditional methods.
Correlation with official health data is strong, with models showing r values greater than 0.8 for diseases like influenza and COVID-19.
Key platforms, including Google Trends and X (formerly Twitter), are frequently used in predictive modeling analyses.
Challenges remain in data quality and representativeness, underscoring the need for better reporting standards and utilization of AI.