U.S. County-Level Mortality Rates for Chronic Respiratory Failure, 2010–2019

County-level data from the contiguous United States quantifies mortality rates for chronic lower respiratory diseases complicated by respiratory failure from 2010 to 2019. The dataset integrates bioclimatic, pollution, and socioeconomic variables for spatial analysis. Author Dong Miao published the supporting file on figshare under a CC-BY-4.0 license.

Use Cases

• Identifying mortality hotspots based on county-level clustering patterns.
• Modeling the non-stationary influence of environmental factors like PM2.5 on disease outcomes.
• Analyzing the scale-dependent effects of social vulnerability and smoking prevalence on mortality.

Strengths

• Data covers a 10-year period (2010–2019) across the contiguous United States.
• Analysis integrates multiple variable types: bioclimatic, pollution, and socioeconomic.
• The supporting MGWR model significantly outperformed a global OLS model (Adjusted R²: 0.66 vs. 0.39).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The primary file is a 386.2 KB DOCX document, which suggests the dataset itself may be embedded or summarized rather than provided as raw data tables.

Provenance

Source

figshare

Collection Method

Likely compiled from public health and environmental data sources for spatial modeling.

Time Range

2010–2019

Freshness

Last updated 2026-05-26 05:26:17; freshness should be verified.

Geography

Contiguous United States (county-level)