Breast Cancer Study Local Moran

Breast Cancer Study Local Moran - Exploratory temporal...

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Exploratory temporal visualization of Massachusetts breast cancer data archives Alex Brown, Toxics Use Reduction Institute (TURI) and UMass-Lowell Dept of Environmental, Earth & Atmospheric Sciences (Corresponding author: Alexander_Brown@uml.edu) Dr Richard Clapp, BU School of Public Health and UMass-Lowell School of Health and Environment Molly Jacobs, Environmental Health Initiative, Lowell Center for Sustainable Production Presented at URISA PHGIS'09 (Providence RI, 6 June 2009). Please see presentation materials for full graphics: http://gis.uml.edu/abrown2/epi/090606/090606-Brown-etal-URISA-PHGIS09.pdf PDF (2MB) http://gis.uml.edu/abrown2/epi/090606/090606.ppt Powerpoint (10MB) http://gis.uml.edu/abrown2/epi/090606/090606.htm HTML (Internet Explorer only) ABSTRACT Case-control studies of lung and breast cancer in Massachusetts' Upper Cape Cod region (Vieira et al, Paulu et al 2002, 2008) showed spatial clustering of risk based on residential location. Statewide Massachusetts cancer incidence mapping by Silent Spring Institute also showed clustering in the greater Boston area and on Cape Cod. To expand the spatial scope of these studies, town-level archives of breast cancer records from the Massachusetts Department of Public Health Cancer Registry, in the Massachusetts Community Health Information Profile (MassCHIP) public database system, were used to explore spatial and temporal patterns in statewide distribution of breast cancer occurence. Problems of data suppression for confidentiality as well as great differences in population among the 351 towns of Massachusetts resulted in large gaps in this data. While only access to complete MassCHIP data could support full analysis of spatial distribution of breast cancer incidence, a synthetic dataset based on MassCHIP but supplemented by estimation of suppressed data was able to support exploration of methods of temporal visualization and cluster identification. Variance instability in this dataset was evaluated using Empirical Bayes rate smoothing. Major clusters of breast cancer incidence in greater Boston and on Cape Cod were confirmed in the smoothed rate data, while possible time-varying clusters observed in western Massachusetts were not. BACKGROUND Breast cancer is the most commonly diagnosed cancer for women in Massachusetts, which has the 4th highest incidence rate of the disease in the United States. (MassDPH/MCR 2006) Geographic clustering of cases is observed in the greater Boston metropolitan area, like other major urban and suburban areas, but also on Cape Cod, a peninsula in the Atlantic Ocean formed by a glacial moraine, well known in the past century for specialized cranberry bog agriculture, rural small-town residential character, and seashore tourism and recreation industries. Cape Cod went through great change in land use in the 20th century, including rapid residential development in areas with possible exposure to known environmental mammary carcinogens, so temporal change in incidence and distribution of breast cancer in Massachusetts has been
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Breast Cancer Study Local Moran - Exploratory temporal...

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