ArticleCancer causes & control : CCC2009
Spatial cluster analysis of early stage breast cancer: a method for public health practice using cancer registry data.
Article in Cancer causes & control : CCC, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- A Bayesian bivariate spatial modeling framework for stage-specific cancer incidence and targeting of screening efforts.American journal of epidemiology · 2026Article
- High Childhood Leukemia Mortality Rates in Mexico Associated to Water Contamination in Areas of Oil and Gas Extraction.GeoHealth · 2026Article
- Assessing and attenuating the impact of selection bias on spatial cluster detection studies.Spatial and spatio-temporal epidemiology · 2024Article
- Geographic Variation in Late-Stage Cervical Cancer Diagnosis.JAMA network open · 2023Article
- Comparison of Soft Indicator and Poisson Kriging for the Noise-Filtering and Downscaling of Areal Data: Application to Daily COVID-19 Incidence Rates.ISPRS international journal of geo-information · 2023Article
- The Use of Area-Level Socioeconomic Indices in Evaluating Cancer Care Delivery: A Scoping Review.Annals of surgical oncology · 2023Article
- Racial disparities of liver cancer mortality in Wisconsin.Cancer causes & control : CCC · 2019Article
- A generic method for improving the spatial interoperability of medical and ecological databases.International journal of health geographics · 2017Article
- Female Breast Cancer Mortality Clusters in Shandong Province, China: A Spatial Analysis.Scientific reports · 2017Article
- Investigation of Spatial Clustering of Biliary Tract Cancer Incidence in Osaka, Japan: Neighborhood Effect of a Printing Factory.Journal of epidemiology · 2016Article
- Comparing methods of measuring geographic patterns in temporal trends: an application to county-level heart disease mortality in the United States, 1973 to 2010.Annals of epidemiology · 2015Article
- Local bladder cancer clusters in southeastern Michigan accounting for risk factors, covariates and residential mobility.PloS one · 2015Article
- Applying spatial analysis tools in public health: an example using SaTScan to detect geographic targets for colorectal cancer screening interventions.Preventing chronic disease · 2014Article
- Geostatistical analysis of health data with different levels of spatial aggregation.Spatial and spatio-temporal epidemiology · 2012Article
- Identification of racial disparities in breast cancer mortality: does scale matter?International journal of health geographics · 2010Article
- Choropleth map design for cancer incidence, part 2.Preventing chronic disease · 2010Article
- Evaluation of ionizing radiation as a risk factor for the incidence of breast cancer: long-term analysis after the cesium-137 accident in Goiânia, Brazil. An ecological study.Sao Paulo medical journal = Revista paulista de medicinaArticle
- Investigation of Geographical Disparities: The Use of An Interpolation Method For Cancer Registry Data.The Journal of the Oklahoma State Medical AssociationArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
objectivesCancer registries are increasingly mapping residences of patients at time of diagnosis, however, an accepted protocol for spatial analysis of these data is lacking. We undertook a public health practice-research partnership to develop a strategy for detecting spatial clusters of early stage breast cancer using registry data.
methodsSpatial patterns of early stage breast cancer throughout Michigan were analyzed comparing several scales of spatial support, and different clustering algorithms.
resultsAnalyses relying on point data identified spatial clusters not detected using data aggregated into census block groups, census tracts, or legislative districts. Further, using point data, Cuzick-Edwards' nearest neighbor test identified clusters not detected by the SaTScan spatial scan statistic. Regression and simulation analyses lent credibility to these findings.
conclusionsIn these cluster analyses of early stage breast cancer in Michigan, spatial analyses of point data are more sensitive than analyses relying on data aggregated into polygons, and the Cuzick-Edwards' test is more sensitive than the SaTScan spatial scan statistic, with acceptable Type I error. Cuzick-Edwards' test also enables presentation of results in a manner easily communicated to public health practitioners. The approach outlined here should help cancer registries conduct and communicate results of geographic analyses.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.