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Geospatial approaches to cancer control and population sciences

  • Mario Schootman
  • , Scarlett Lin Gomez
  • , Kevin A. Henry
  • , Electra D. Paskett
  • , Gary L. Ellison
  • , April Oh
  • , Stephen H. Taplin
  • , Zaria Tatalovich
  • , David A. Berrigan
  • Saint Louis University
  • Washington University St. Louis
  • Cancer Prevention Institute of California
  • Stanford University
  • Temple University
  • Ohio State University
  • National Institutes of Health

Research output: Contribution to journalArticlepeer-review

45 Scopus citations

Abstract

Cancer incidence and mortality display strong geographic patterns worldwide and in the United States (1, 2). The environment where individuals live, work, and play is increasingly being recognized as important across the cancer control continuum, including the risk of cancer development, detection, diagnosis, treatment, mortality, and survivorship (3-5). At the same time, emergent technological capacity in geographic information systems (GIS) and mapping, along with increasing sophistication in applied spatial methods, has resulted in a growing research community developing and applying geospatial approaches in health research (5). Through collaborative, transdisciplinary efforts, and continued data collection efforts, there is great potential to apply these emerging geospatial approaches to various aspects of cancer prevention and control to inform etiology and target interventions and implementation of efficacious risk-reducing strategies.

Original languageEnglish
Pages (from-to)472-475
Number of pages4
JournalCancer Epidemiology Biomarkers and Prevention
Volume26
Issue number4
DOIs
StatePublished - Apr 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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