Data-Driven Disease Surveillance

The paper uses Google Trends data to show that online search behavior reflects the spread of canine dirofilariosis in Hungary, supporting digital epidemiology as a surveillance tool.

The paper analyzes Brazilian respiratory syndrome data and community mobility changes to assess data quality, estimate cases from mobility patterns, detect disease waves, and cluster cities by behavior.