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Creating Maps and Mapping Systems for Cancer Control and Prevention

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Geospatial Approaches to Energy Balance and Breast Cancer

Part of the book series: Energy Balance and Cancer ((EBAC,volume 15))

Abstract

Mapping public health data provides valuable insights into geography of diseases. Maps and mapping systems can also be a useful practical tool for public health planning; the identification of areas of elevated cancer incidence or mortality can inform optimal spatial allocation of resources as well as targeted interventions aimed at cancer prevention and control. This chapter addresses the role of mapping in cancer research and the utility of mapping systems for cancer control activities through a series of examples and best practices. The chapter is organized into three sections. The introductory section briefly traces the evolution from paper maps to modern digital maps and cancer atlases, highlighting their value for understanding the geography of cancer. The second section discusses the relevance of mapping in cancer research and provides examples from recent literature where maps have been used to aid cancer research and inform interventions. The third section focuses on modern cancer mapping systems, their development, design considerations, functionality, and application through a series of examples demonstrating their value for informing cancer control activities.

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Notes

  1. 1.

    Mapping systems are tools that combine geospatial data access and query capabilities with geovisualization

References

  1. Alcaraz KI, Kreuter MW, Bryan RP. Use of GIS to identify optimal settings for cancer prevention and control in African American communities. Prev Med. 2009;49(1):54–7. https://doi.org/10.1016/j.ypmed.2009.04.016.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Anderson RT, Yang T-C, Matthews SA, Camacho F, Kern T, Mackley HB, Kimmick G, Louis E, Lengerich E, Yao N. Breast cancer screening, area deprivation, and later-stage breast cancer in appalachia: does geography matter? Health Services Research. 2013;49(2):546–67. https://doi.org/10.1111/1475-6773.12108.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Anselin L. Interactive techniques and exploratory spatial data analysis. In: Geographical information systems: principles, techniques, management and applications. New York: Wiley; 1999. p. 251–64.

    Google Scholar 

  4. Armour BS, Thierry JM, Wolf LA State-Level Differences in Breast and Cervical Cancer Screening by Disability Status: United States, 2008. Women’s Health Issues: 2009;12 (6) https://doi.org/10.1016/j.whi.2009.08.006

  5. Bazemore A, Phillips RL, Miyoshi T. Harnessing geographic information systems (GIS) to enable community-oriented primary care. J Am Board Fam Med. 2010;23:22–31. https://doi.org/10.3122/jabfm.2010.01.090097.

    Article  PubMed  Google Scholar 

  6. Beck AF, Sandel MT, Ryan PH, Kahn RS. Mapping neighborhood health geomarkers to clinical care decisions to promote equity in child health. Health affairs (Project Hope). 2017;36(6):999–1005. https://doi.org/10.1377/hlthaff.2016.1425.

    Article  Google Scholar 

  7. Becker RA, Cleveland WS, Wilks AR. Dynamic graphics for data analysis. Stat Sci. 1987;2:355–95.

    Article  Google Scholar 

  8. Bell BS, Hoskins RE, Pickle LW, Wartenberg D. Current practices in spatial analysis of cancer data: mapping health statistics to inform policymakers and the public. Int J Health Geogr. 2006;5:49. https://doi.org/10.1186/1476-072X-5-49.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Beyer KM, Tiwari C, Rushton G (2008). Mapping cancer for community engagement. prev chronic dis. Jan; 6(1): A03 http://www.cdc.gov/pcd/issues/2009/jan/08_0029.htm.

  10. Beyer KM, Tiwari C, Rushton G. Five essential properties of disease maps. Ann Assoc Am Geogr. 2012;102(5):1067–75. https://doi.org/10.1080/00045608.2012.659940.

    Article  Google Scholar 

  11. Bhowmick T, Griffin AL, MacEachren AM, Kluhsman BC, Lengerich EJ. Informing geospatial toolset design: understanding the process of cancer data exploration and analysis. Health Place. 2008a;14(3):576–607. https://doi.org/10.1016/j.healthplace.2007.10.009.

    Article  PubMed  Google Scholar 

  12. Bhowmick T, Robinson AC, Gruver A, MacEachren AM, Lengerich EJ. Distributed usability evaluation of the pennsylvania cancer atlas. Int J Health Geogr. 2008b;7:36. https://doi.org/10.1186/1476-072X-7-36.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Boscoe FP, Zhang X. Visualizing the diffusion of digital mammography in New York State. Cancer Epidemiol Biomark Prev. 2017 Apr;26(4):490–4.

    Article  Google Scholar 

  14. Brewer CA. Designing better maps: a guide for GIS users. Redlands: ESRI Press; 2005.

    Google Scholar 

  15. Brewer CA. Basic mapping principles for visualizing cancer data using geographic information systems (GIS). Am J Prev Med. 2006;30(2):S25–36. https://doi.org/10.1016/j.amepre.2005.09.007.

    Article  PubMed  Google Scholar 

  16. Brewer CA, Pickle LW. Evaluation of methods for classifying epidemiological data on choropleth maps in series. Ann Assoc Am Geogr. 2002;92(4):662–81.

    Article  Google Scholar 

  17. Burroughs P, McDonnell R. Principles of geographical information systems. New York: Oxford University Press; 1998.

    Google Scholar 

  18. Cancer in North America (CiNA) (2018). Developed by north american association of central cancer registries. Available at: https://www.naaccr.org/cina-public-use-data-set/

  19. Centers for Disease Control and Prevention (CDC) (2012). Cartographic Guidelines for Public Health. Available at https://www.cdc.gov/dhdsp/maps/gisx/resources/cartographic_guidelines.pdf.

  20. Chien LC, Yu HL, Schootman M. Efficient mapping and geographic disparities in breast cancer mortality at the county-level by race and age in the U.S. Spat Spatiotemporal Epidemiol. 2013;5:27–37. https://doi.org/10.1016/j.sste.2013.03.002.

    Article  PubMed  Google Scholar 

  21. Cinnamon J, Rinner C, Cusimano MD, Marshall S, Bakele T, Hernandez T, Glazier RH, Chipman ML. Evaluating web-based static, animated and interactive maps for injury prevention. Geospat Health. 2009;4(1):3–16. https://doi.org/10.4081/gh.2009.206.

    Article  PubMed  Google Scholar 

  22. Clarke P, Ailshire J, Melendez R, Bader M, Morenoff J. Using Google Earth to conduct a neighborhood audit: reliability of a virtual audit instrument. Health Place. 2010;16(6):1224–9. https://doi.org/10.1016/j.healthplace.2010.08.007.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Cleveland WS, McGill ME, editors. Dynamic graphics for statistics. Wadsworth: Pacific Grove; 1988.

    Google Scholar 

  24. Color Brewer: Color Advice for Maps; http://colorbrewer2.org/.

  25. Conroy SM, Shariff-Marco S, Koo J, et al. Racial/ethnic differences in the impact of neighborhood social and built environment on breast cancer risk: the neighborhoods and breast cancer study. Cancer Epidemiol Biomark Prev. 2007;26(4):541–52. https://doi.org/10.1158/1055-9965.EPI-16-0935.

    Article  Google Scholar 

  26. D’ Onofrio A, Mazzetta C, Robertson C, Smans M, Boyle P, Boniol M. Maps and atlases of cancer mortality: a review of a useful tool to trigger new questions. Ecancermedicalscience. 2016;10:670. https://doi.org/10.3332/ecancer.2016.670.

    Article  Google Scholar 

  27. DeGuzman PB, Cohn WF, Camacho F, Edwards BL, Sturz VN, Schroen A. Impact of urban neighborhood disadvantage on late stage breast cancer diagnosis in Virginia. J Urban Health. 2017;94(2):199–210. https://doi.org/10.1007/s11524-017-0142-5.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Devesa SS. Atlas of cancer mortality in the United States, 1950–94. NIH Publication No. 99–4564: National Cancer Institute, Bethesda; 1999.

    Google Scholar 

  29. Doescher MP, Jackson JE. Trends in cervical and breast cancer screening practices among women in rural and urban areas of the United States. J Public Health Manag Pract. 2009;15(3):200–9. https://doi.org/10.1097/PHH.0b013e3181a117da.

    Article  PubMed  Google Scholar 

  30. Evergreen SDH. Presenting data effectively. Los Angeles: Sage Publications; 2014.

    Google Scholar 

  31. Greiling DA, Jacquez GM, Kaufmann AM, Rommel RG. Space-time visualization and analysis in the cancer atlas viewer. J Geogr Syst. 2005;7(1):67–84. https://doi.org/10.1007/s10109-005-0150-y.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Gromley EK, McLafferty SL. GIS and public health. New York: Guilford Press; 2002.

    Google Scholar 

  33. Guagliardo MF. Spatial accessibility of primary care: concepts, methods and challenges. Int J Health Geogr. 2004;3:3.. Available at: http://www.ij-healthgeographics.com/content/3/1/3

    Article  PubMed  PubMed Central  Google Scholar 

  34. Gumpertz ML, Pickle LW, Miller BA, et al. Geographic patterns of advanced breast cancer in Los Angeles: associations with biological and sociodemographic factors (United States). Cancer Causes Control. 2006;17:325–39. https://doi.org/10.1007/s10552-005-0513-1.

    Article  PubMed  Google Scholar 

  35. Harrower MA, Brewer CA. ColorBrewer.org: an online tool for selecting color schemes for maps. Cartogr J. 2003;40(1):27–37.

    Article  Google Scholar 

  36. Hebert JR, Daguise VG, Adams SA, Puett R, Burch J, Steck S, Bolick-Aldrich SW. Mapping cancer mortality-to-incidence ratios to illustrate racial and sex disparities in high-risk population. Cancer. 2009;115(11):2539–52. https://doi.org/10.1002/cncr.24270.

    Article  PubMed  Google Scholar 

  37. Henry KA, Niu X, Boscoe FP. Geographic disparities in colorectal cancer survival. Int J Health Geogr. 2009;8:48.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Henry KA, Sherman R, Farber S, Cockburn M, Goldberg D, Stroup A. The joint effects of census tract poverty and geographic access on late-stage breast cancer diagnosis in 10 US states. Health Place. 2013;21:110–2. https://doi.org/10.1016/j.healthplace.2013.01.007.

    Article  PubMed  Google Scholar 

  39. Hesse BW, Moser RP, Rutten LJ, Kreps GL. The health information national trends survey: research from the baseline. J Health Commun. 2006;11(Suppl 1):vii–xvi.

    Article  PubMed  Google Scholar 

  40. IARC Global Cancer Observatory (2018) The section of cancer surveillance, International agency for research on cancer, Lyon, France. Available at http://gco.iarc.fr/ Accessed 25 Oct 2018.

  41. Kentucky Cancer Registry Cancer-rates.info; https://www.cancer-rates.info.

  42. Koch T. Cartographies of disease: maps, mapping, and medicine. Redlands: Esri Press; 2016.

    Google Scholar 

  43. Kuo T-M, Mobley L, Anselin L. Geographic disparities in late-stage breast cancer diagnosis in California. Health Place. 2011;17(1):327–34. https://doi.org/10.1016/j.healthplace.2010.11.007.

    Article  PubMed  Google Scholar 

  44. Lian M, Struthers J, Schootman M. Comparing GIS-based measures in access to mammography and their validity in predicting neighborhood risk of late-stage breast cancer. PLoS One. 2012;7(8):e43000. https://doi.org/10.1371/journal.pone.0043000.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. MacEachren AM, Brewer CA, Pickle LW. Visualizing georeferenced data: representing reliability of health statistics. Environ Plan A. 1998;30(9):1547–61.

    Article  Google Scholar 

  46. MacEachren AM, Robinson A, Hopper S, Gardner S, Murray R, Gahegan M, Hetzler E. Visualizing geospatial information uncertainty: what we know and what we need to know. Cartogr Geogr Inf Sci. 2005;32(3):139–60. https://doi.org/10.1559/1523040054738936.

    Article  Google Scholar 

  47. MacEachren AM, Crawford S, Akella M, Lengerich EJ. Design and implementation of a model, web-based, GIS-enabled cancer atlas. Cartogr J. 2008;45(4):246–60. https://doi.org/10.1179/174327708X347755.

    Article  Google Scholar 

  48. MacKinnon JA, Duncan RC, Huang Y, et al. Detecting an association between socioeconomic status and late stage breast cancer using spatial analysis and area-based measures. Cancer Epidemiol Biomarkers Prev. 2007;16(4):756–62. https://doi.org/10.1158/1055-9965.EPI-06-0392.

  49. Makuc DM, Haglund B, Ingram DD, et al. Health service areas for the United States. Vital Health Stat. 1991;11(112):1–102.

    Google Scholar 

  50. Mason TJ, McKay FW. U.S. cancer mortality by county, 1950–1969. Washington, DC: U.S. Government Printing Office; 1974.

    Google Scholar 

  51. Mason TJ, McKay FW, Hoover RN, Blot WJ, Fraumeni JF Jr. Atlas of cancer mortality for U.S. counties, 1950–1969. Bethesda: U.S. Department of Health, Education, and Welfare; 1975.

    Google Scholar 

  52. McLafferty SL. GIS and health care. Annu Rev Public Health. 2003;24(1):25–42.

    Article  PubMed  Google Scholar 

  53. Missouri Cancer Registry’s Instant Atlas Cancer Data Portal; https://instantatlas.umh.edu/IAS/.

  54. Mooney SJ, Joshi S, Cerdá M, Kennedy GJ, Beard JR, Rundle AG. Contextual correlates of physical activity among older adults: a neighborhood environment-wide association study (NE-WAS). Cancer Epidemiol Biomark Prev. 2017;26(4):495–504. https://doi.org/10.1158/1055-9965.EPI-16-0827.

    Article  Google Scholar 

  55. Musa GJ, Chiang P-H, Sylk T, et al. Use of GIS mapping as a public health tool—from cholera to cancer. Health Services Insights. 2013;6:111–6. https://doi.org/10.4137/HSI.S10471.

    Article  PubMed  PubMed Central  Google Scholar 

  56. National Program Cancer Registries (NPCR) (2014). Suppression of rates and counts. Centers for disease control and prevention, division of cancer prevention and control. Available at http://www.cdc.gov/cancer/npcr/uscs/technical_notes/stat_methods/suppression.htm.

  57. NCI Animated Historical Cancer Atlas: U.S. Department of Health and Human Services, National Cancer Institute; https://gis.cancer.gov/atlas/.

  58. NCI Cancer Atlas: U.S. Department of Health and Human Services, National Cancer Institute; https://gis.cancer.gov/canceratlas/.

  59. NCI Tobacco Policy Viewer: U.S. Department of Health and Human Services, National Cancer Institute; https://gis.cancer.gov/tobaccopolicy/.

  60. NCRAS UK Cancer e-Atlas (2018) National cancer registration and analysis service, Public Health England, London. Available at http://www.ncin.org.uk/cancer_information_tools/eatlas/.

  61. Neteler M, Bowman MH, Landa M, Metz M. GRASS GIS: a multi-purpose open source GIS. Environ Model Softw. 2012;31:124–30. https://doi.org/10.1016/j.envsoft.2011.11.014.

    Article  Google Scholar 

  62. Osypuk TL, Acevedo-Garcia D. Beyond individual neighborhoods: a geography of opportunity perspective for understanding racial/ethnic health disparities. Health Place. 2010;16(6):1113–23. https://doi.org/10.1016/j.healthplace.2010.07.002.

    Article  PubMed  PubMed Central  Google Scholar 

  63. Pickle LW. A history and critique of U.S. mortality atlases. Spat Spatiotemporal Epidemiol. 2009;1(1):3–17. https://doi.org/10.1016/j.sste.2009.07.004.

    Article  PubMed  Google Scholar 

  64. Pickle LW, Carr DB. Visualizing health data with micromaps. Spatiotemporal Epidemiol. 2010;1(2–3):143–50.

    Article  Google Scholar 

  65. Pickle LW, Mason TJ, Howard N, Hoover RN, Fraumeni JF Jr. Atlas of U.S. cancer mortality among whites, 1950–1980. Washington, DC: U.S. Government Printing Office; 1987.

    Google Scholar 

  66. Pickle LW, Mason TJ, Howard N, Hoover RN, Fraumeni JF Jr. Atlas of U.S. cancer mortality among nonwhites, 1950–1980. Washington, DC: U.S. Government Printing Office; 1990.

    Google Scholar 

  67. Pickle LW, Mungiole M, Jones GK, White AA. Atlas of United States mortality. Hyattsville: National Center for Health Statistics; 1996.

    Google Scholar 

  68. Pickle LW, Szczur M, Lewis DR, Stinchcomb DG. The crossroads of GIS and health information: a workshop on developing a research agenda to improve cancer control. Int J Health Geogr. 2006;5(51):51.

    Article  PubMed  PubMed Central  Google Scholar 

  69. Rey SJ. Show me the code: spatial analysis and open source. J Geogr Syst. 2009;11:191–207.

    Article  Google Scholar 

  70. Riggan WB, Creason JB, Nelson WC, Manton KG, Woodbury MA, Stallard E et al (1987) U.S. cancer mortality rates and trends, 1950–1979; vol. 4: Maps. U.S. Environmental Protection Agency, Research Triangle Park, NC.

    Google Scholar 

  71. Robinson AC, Chen J, Lengerich EJ, Meyer HG, MacEachren AM. Combining usability techniques to design geovisualization tools for epidemiology. Cartogr Geogr Inf Sci. 2005;32(4):243–55. https://doi.org/10.1559/152304005775194700.

    Article  PubMed  PubMed Central  Google Scholar 

  72. Robinson AC, Demšar U, Moore B, Buckley A, Jiang B, Field K, Kraak MJ, Camboim SP, Sluter CR. Geospatial big data and cartography: research challenges and opportunities for making maps that matter. Int J Cartogr. 2017;3(sup1):32–60.

    Article  Google Scholar 

  73. Sabel CE, Kihal W, Bard D, Weber C. Creation of synthetic homogeneous neighbourhoods using zone design algorithms to explore relationships between asthma and deprivation in Strasbourg, France. Soc Sci Med. 2013;91:110–21. https://doi.org/10.1016/j.socscimed.2012.11.018.

    Article  CAS  PubMed  Google Scholar 

  74. Shah TI, Bell S, Wilson K. Spatial accessibility to health care services: identifying under-serviced neighbourhoods in Canadian Urban Areas. PLoS One. 2016;11(12):e0168208. https://doi.org/10.1371/journal.pone.0168208.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  75. Smith DA. Online interactive thematic mapping: applications and techniques for socio-economic research. Comput Environ Urban Syst. 2016;57:106–17.

    Article  Google Scholar 

  76. Snow J. On the mode of communication of cholera., 2nd edn. London: Churchill; 1855. p. 1–162.

    Google Scholar 

  77. Spielman SE, Folch DC. Reducing uncertainty in the American community survey through data-driven regionalization. PLoS One. 2015;10(2):e0115626. https://doi.org/10.1371/journal.pone.0115626.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  78. State Cancer Profiles (SCP) Interval type. Jointly developed by the NCI and the CDC. 2018. Available at https://statecancerprofiles.cancer.gov/intervaltype.html. Accessed 17 June 2018.

  79. State Cancer Profiles: U.S. Department of Health and Human Services, National Cancer Institute and Centers for Disease Control and Prevention; https://statecancerprofiles.cancer.gov.

  80. Sun MD, Wong W, Kronenfeld BJ. A classification method for choropleth maps incorporating data reliability information. Prof Geogr. 2014;67:72–83. https://doi.org/10.1080/00330124.2014.888627.

    Article  Google Scholar 

  81. Tatalovich Z, Zhu L, Rolin A, Lewis DR, Harlan LC, Winn DM. Geographic disparities in late stage breast cancer incidence: results from eight states in the United States. Int J Health Geogr. 2015;14:31. https://doi.org/10.1186/s12942-015-0025-5.

    Article  PubMed  PubMed Central  Google Scholar 

  82. Tatalovich Z, Stinchcomb DG, Lyman JA, Hunt Y, Cucinelli JA. A geo-view into historical patterns of smoke-free policy coverage in the USA. Tobacco Prevention & Cessation. 2017;3:1–11. https://doi.org/10.18332/tpc/80135.

    Article  Google Scholar 

  83. Tufte ER. The visual display of quantitative information. Cheshire: Graphic Press; 1983.

    Google Scholar 

  84. United States Cancer Statistics Working Group. U.S. Cancer statistics data visualizations tool, based on November 2017 submission data (1999–2015): U.S. department of health and human services, centers for disease control and prevention and national cancer institute: Available at: www.cdc.gov/cancer/dataviz.

    Google Scholar 

  85. Wang F, McLafferty S, Escamilla V, Luo L. Late-stage breast cancer diagnosis and health care access in Illinois. PRO. 2008;60(1):54–69. https://doi.org/10.1080/00330120701724087.

    Article  Google Scholar 

  86. Wang F, Guo D, McLafferty S. Constructing geographic areas for cancer data analysis: a case study on late-stage breast Cancer risk in Illinois. Appl Geogr. 2012;35(1–2):1–11. https://doi.org/10.1016/j.apgeog.2012.04.005.

    Article  PubMed  PubMed Central  Google Scholar 

  87. Zhang S, Luo J, Zhu L, Stinchcomb DG, Campbell D, Carter G, Gilkeson S, Feuer EJ. Confidence intervals for ranks of age-adjusted rates across states or counties. Stat Med. 2014;33(11):1853–66. https://doi.org/10.1002/sim.6071.

    Article  PubMed  Google Scholar 

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Tatalovich, Z., Stinchcomb, D.G. (2019). Creating Maps and Mapping Systems for Cancer Control and Prevention. In: Berrigan, D., Berger, N. (eds) Geospatial Approaches to Energy Balance and Breast Cancer. Energy Balance and Cancer, vol 15. Springer, Cham. https://doi.org/10.1007/978-3-030-18408-7_3

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