Association Between Black Carbon and Childhood Asthma Exacerbations in Xiamen, 2020-2023

3,440 childhood asthma cases from Xiamen, China, were analyzed against air pollutant and meteorological data using a case-crossover design. The study, authored by Yating He and published on figshare, found a significant association between short-term black carbon exposure and acute asthma exacerbations at a 3-day lag. Data covers the period from January 2020 to December 2023.

Use Cases

• Modeling the lagged effect of black carbon on asthma exacerbations based on the described 0-6 day lag period.
• Investigating interaction effects between black carbon and PM2.5 components like sulfate and nitrate as mentioned in the two-pollutant model.
• Conducting stratified analysis by season, age, or sex based on the methodology described in the study.
• Evaluating multi-pollutant exposure effects using statistical approaches like Bayesian kernel machine regression (BKMR) referenced in the description.

Strengths

• Includes 3,440 specific asthma case records linked to environmental data.
• Covers a defined four-year time range from 2020 to 2023.
• Analysis incorporates multiple pollutant models and lag periods, as detailed in the methodology.
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying environmental data is unknown, which may limit suitability assessment.
• Geographic scope is limited to a single city (Xiamen), which may affect generalizability.

Provenance

Source

Yating He via figshare. Asthma case data obtained from the Xiamen Health and Medical Big Data Center.

Collection Method

Case-crossover study design with environmental data collection for lag periods.

Time Range

January 2020 to December 2023

Freshness

Last updated 2026-05-26 05:26:06; freshness should be verified.

Geography

Xiamen, China