title: Applications of extraction mapping in environmental epidemiology.
abstract: This paper discusses a new method which allows the extraction of a background disease rate from a data set consisting of spatial co-ordinates of morbidity or mortality events. We demonstrate its application with two data sets, one based on cancer registry data and the other on death certificates.
authors.affiliation: Department of Mathematical and Computer Sciences, Dundee Institute of Technology, U.K.
authors.forename: A B
authors.initials: AB
authors.lastname: Lawson
authors.forename: F L
authors.initials: FL
authors.lastname: Williams
mesh_terms: D000393:Air Pollutants / Q000009:adverse effects; D002423:Cause of Death; D016000:Cluster Analysis; D003627:Data Interpretation, Statistical; D003644:Death Certificates; D004739:England / Q000453:epidemiology; D004781:Environmental Exposure / Q000706:statistics & numerical data*; D005260:Female; D006256:Hazardous Waste / Q000009:adverse effects; D006801:Humans; D007822:Laryngeal Neoplasms / Q000209:etiology / Q000401:mortality / Q000517:prevention & control; D008297:Male; D015233:Models, Statistical; D009369:Neoplasms / Q000209:etiology / Q000401:mortality* / Q000517:prevention & control; D016012:Poisson Distribution; D012042:Registries / Q000706:statistics & numerical data*; D012044:Regression Analysis; D012142:Respiratory Tract Neoplasms / Q000209:etiology / Q000401:mortality / Q000517:prevention & control; D012606:Scotland / Q000453:epidemiology; D016019:Survival Analysis; D015996:Survival Rate
chemical_list: D000393:Air Pollutants; D006256:Hazardous Waste