A global dataset provides gridded estimates of air pollution and related health indicators for the year 2019. It was authored by Haiyan Wang and is hosted on the Harvard Dataverse platform. The dataset was last updated on May 11, 2026.
Use Cases
- Mapping global air pollution exposure based on gridded estimates
- Modeling health burden attributable to air pollution based on health indicators
- Conducting spatial analyses of environmental health risks based on global coverage
Strengths
- Provides global coverage for 2019
- Offers gridded spatial resolution for analysis
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download
- Column-level documentation is absent; field semantics must be inferred after download
- Row count is unknown, which may limit suitability assessment
Provenance
- Source
- Harvard Dataverse
- Time Range
- 2019
- Freshness
- Last updated 2026-05-11 14:32:35; freshness should be verified
- Geography
- Global