Aggregated search query data from Bing covering the 2020 COVID-19 pandemic across global and regional scales. The dataset is structured by geographic dimensions including state and country levels with configurable date ranges for granular temporal analysis.
Use Cases
- Analyze public interest trends over time by filtering the dataset using the start_date and end_date parameters
- Compare regional health concerns by aggregating query volumes using the queries_by='state' configuration
- Correlate search behavior with infection rates by joining this data with external COVID-19 case counts based on the country or state identifiers
Strengths
- Geographic granularity options for data retrieval via the queries_by parameter set to either 'state' or 'country'
- Supports precise temporal filtering using start_date and end_date parameters for specific 2020 intervals
- Data is sourced directly from Bing search logs, capturing real-time public information-seeking behavior during the pandemic