Datasets for Health Impacts of Future Prescribed Fire Smoke: Considerations from an Exposu

2008-2016 historical and future scenario data for analyzing prescribed fire smoke impacts in California. The dataset includes aggregated estimates of PM2.5-attributed emergency department visits and rates, plus exposure mapping outputs. It was created by Andrew Rosenberg and colleagues for a 2024 study published in Earth's Future.

Use Cases

• Mapping daily PM2.5 exposure from wildfire and prescribed fire sources based on HYSPLIT model outputs.
• Estimating annual person-days of smoke exposure for population health assessments.
• Calculating the fraction of PM2.5-attributed cardiorespiratory emergency department visits by smoke concentration strata.
• Comparing historical and future prescribed fire scenarios to map changes in annual burden rates.

Strengths

• Data is directly linked to a peer-reviewed 2024 publication in Earth's Future.
• Includes aggregated health outcome estimates (ED visit counts and rates per 100,000) to protect confidentiality.
• Covers a historical period from 2008 to 2016 and a future prescribed fire scenario.

Limitations

• Raw health data is not provided due to confidentiality, limiting granular analysis.
• Row count and file size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred from README files after download.

Provenance

Source

Andrew Rosenberg and co-authors, associated with the published study.

Collection Method

Analysis outputs and aggregated estimates derived from HYSPLIT smoke modeling and health data.

Time Range

Historical Period: 2008-2016; includes a Future Prescribed Fire Scenario.

Geography

California, United States.