Supplementary file 1_Unraveling complex interactions of meteorological factors and sulfur

2015–2019 data from Fuzhou, China, linking other infectious diarrhea (OID) cases with meteorological factors and sulfur dioxide levels. The dataset was created by Jiangwang Fang and last updated in April 2026. It was analyzed using quasi-Poisson and distributed lag non-linear models to study lagged and interactive effects.

Use Cases

• Modeling the non-linear relationship between mean temperature and OID incidence based on the described U-shaped curve.
• Analyzing synergistic effects between mean temperature and mean relative humidity on disease risk as mentioned in the results.
• Investigating antagonistic interactions between sulfur dioxide levels and temperature on OID cases.
• Identifying vulnerable population subgroups, such as children aged 3–4 years, for targeted prevention strategies.

Strengths

• Data covers a 5-year time range from 2015 to 2019.
• Analysis includes interaction effects between multiple environmental variables (SO2, temperature, humidity).
• Released under a permissive CC-BY-4.0 license.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Geographic scope is limited to the single subtropical city of Fuzhou.

Provenance

Source

figshare

Collection Method

Analyzed using quasi-Poisson and distributed lag non-linear models on collected case and environmental data.

Time Range

2015–2019

Freshness

Last updated 2026-04-13 05:48:12; freshness should be verified.

Geography

Fuzhou, China