title: Mapping cancer for community engagement.
abstract: BACKGROUND
  Two research strategies may reduce health disparities: community participation and the use of geographic information systems. When combined with community participation, geographic information systems approaches, such as the creation of disease maps that connect disease rates with community context, can catalyze action to reduce health disparities. However, current approaches to disease mapping often focus on the display of disease rates for political or administrative units. This type of map does not provide enough information on the local rates of cancer to engage community participation in addressing disparities.
  
  
  METHODS
  We collaborated with researchers and cancer prevention and control practitioners and used adaptive spatial filtering to create maps that show continuous surface representations of the proportion of all colorectal cancer cases diagnosed in the late stage. We also created maps that show the incidence of colorectal cancer.
  
  
  RESULTS
  Our maps show distinct patterns of cancer and its relationship to community context. The maps are available to the public on the Internet and through the activities of Iowa Consortium for Comprehensive Cancer Control partners.
  
  
  CONCLUSIONS
  Community-participatory approaches to research are becoming more common, as are the availability of geocoded data and the use of geographic information systems to map disease. If researchers and practitioners are to engage communities in exploring cancer rates, maps should be made that accurately represent and contextualize cancer in such a way as to be useful to people familiar with the characteristics of their local areas.
authors.affiliation: Dept of Geography, University of Iowa, Iowa City, IA 52242, USA. kirsten-beyer@uiowa.edu
authors.forename: Kirsten M M
authors.initials: KM
authors.lastname: Beyer
authors.forename: Gerard
authors.initials: G
authors.lastname: Rushton
mesh_terms: D015179:Colorectal Neoplasms / Q000453:epidemiology*; D003710:Demography; D040362:Geographic Information Systems; D006801:Humans; D015994:Incidence; D007484:Iowa / Q000453:epidemiology; D008377:Maps as Topic