Migration-Adjusted Digestive Cancer Burden in China at County Level

487 cancer registries covering 28.6% of China's national population were used to model county-level incidence and mortality for five digestive cancers. The study, authored by Guijin Li and last updated in May 2026, identifies significant spatial clusters of high and low cancer burden after adjusting for internal migration. Results show high-burden clusters concentrated in eastern coastal, northeastern, and central-eastern regions.

Use Cases

• Identify high-priority regions for cancer control based on spatial clusters of migration-adjusted burden.
• Analyze geographic disparities in digestive cancer incidence and mortality across Chinese counties.
• Study the correlation between internal migration patterns and estimated cancer burden in surveillance data.

Strengths

• Data is derived from a quality-controlled sample covering 28.6% of China's national population.
• Analysis uses Bayesian INLA-SPDE modeling to produce migration-adjusted estimates.
• Spatial autocorrelation is assessed with Global and Local Moran’s I analyses, confirming significant clustering (p < 0.001).

Limitations

• The dataset is a 367.4 KB PDF report; underlying tabular or geospatial data files are not specified.
• Column-level documentation and sample data are unavailable, requiring manual inspection of the PDF.
• Row count and specific data formats for the modeled estimates are unknown.

Provenance

Source

Guijin Li via figshare.

Collection Method

Bayesian INLA-SPDE modeling based on data from 487 cancer registries in mainland China.

Freshness

Last updated 2026-05-22 06:09:08.

Geography

Mainland China, county-level.