Identifying geospatial "hot spots" of glomerular diseases: opportunities and challenges.
other · Level V
Where this comes from
- Record sourced from PubMed, PMID 31331466.
- Also identified by DOI 10.1016/j.kint.2019.04.036.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
Canney et al. discovered significant geographic clustering of incident glomerular diseases by applying geospatial modeling techniques to routinely collected information. The results provide further evidence to support the role of environmental triggers in the pathogenesis of glomerular diseases. The study highlights the largely untapped capacity to exploit routinely collected administrative data with appropriate analyses to explore disease pathogenesis and inform health service planning.
Medical subject headings
- Glomerulonephritis