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Accepted (AM)Open Access (License Unspecified), Open
Journal article
Spatial Clustering of Myelodysplastic Syndromes (MDS) in the Seattle-Puget Sound Region of Washington State
Cancer causes & control, v 21(6), pp 829-838
2010
PMID: 20101455
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Objectives
Incidence of myelodysplastic syndromes (MDS) has been described in the United States since its inclusion in the Surveillance, Epidemiology, and End Results program in 2001, and the Seattle-Puget Sound region of Washington State has among the highest rates of the registries. In this investigation, we described small-scale incidence patterns of MDS within the Seattle-Puget Sound region from 2002 to 2006 and identified potential spatial clusters to inform planning of future studies of MDS etiology.
Methods
We used a spatial disease mapping model to estimate smoothed relative risks for each census tract and to describe the spatial component of variability in the incidence rates. We also used two methods to describe the location of potential MDS clusters: the approach of Besag and Newell and the Kulldorff spatial scan statistic.
Results
Our findings from all three approaches indicated the most likely areas of increased MDS incidence were located on Whidbey Island in Island County.
Conclusion
Interpretation is limited because our data are based on the residential location of the MDS case only at the time of diagnosis. Nevertheless, inclusion of identified cluster regions in future population-based research and investigation of individual-level exposures could shed light on environmental risk factors for MDS.
Metrics
Details
- Title
- Spatial Clustering of Myelodysplastic Syndromes (MDS) in the Seattle-Puget Sound Region of Washington State
- Creators
- Michelle E. Ross - University of WashingtonJon Wakefield - University of WashingtonScott Davis - University of WashingtonAnneclaire J. De Roos - University of Washington
- Publication Details
- Cancer causes & control, v 21(6), pp 829-838
- Publisher
- Springer Netherlands
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Environmental and Occupational Health
- Web of Science ID
- WOS:000277709800004
- Scopus ID
- 2-s2.0-77955656863
- Other Identifier
- 991020100057204721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Oncology
- Public, Environmental & Occupational Health