COVID-19 Trends and Impact Survey: Daily Global and US API Data

AI and Data for Good at Meta provides daily COVID-19 survey data through two distinct APIs covering global and US populations. The University of Maryland manages the global data stream, while Carnegie Mellon University handles the US-specific data. This resource offers high-frequency updates on pandemic trends and impacts as reported by survey participants.

Use Cases

• Analyzing daily symptom trends using the global UMD API data
• Comparing US-specific impact metrics from the CMU API against international trends
• Modeling pandemic progression based on self-reported survey responses

Strengths

• Dual-API architecture for distinct global and US-specific segmentation
• Daily update frequency for real-time trend monitoring
• Managed by academic institutions UMD and CMU in partnership with Meta

Limitations

• Requires API integration rather than direct flat-file download
• Specific survey questions and column schemas are not detailed in the primary metadata
• Relies on self-reported survey data which may contain subjective bias

Provenance

Source

AI and Data for Good at Meta, University of Maryland, and Carnegie Mellon University

Collection Method

survey

Time Range

Through 2026

Freshness

Updated daily with the most recent record dated March 2026.

Geography

Global and United States