Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
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Correspondence analysis for studying association between geography and cancer

  • Song, Joon-Jin (Department of Mathematical Sciences, University of Arkansas) ;
  • Yu, Pingjian (Department of Industrial Engineering, University of Arkansas) ;
  • Ren, Yuan (Department of Mathematical Sciences, University of Arkansas) ;
  • Chung, Ming-Hua (Department of Mathematical Sciences, University of Arkansas)
  • Published : 2009.09.30
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Abstract

Geographical location carries information such as demography, local economy, environment, and life styles, which could be the sources of cancer occurrence. Analyzing geographical location associated with cancer occurrence can be instructive to physicians, patients, and health administrators regarding resource allocation, expenditures, prophylaxis and treatments. In this paper, we explored the correspondence relationship between geographical locations and mortality rates of the cancers using correspondence analysis and illustrated the approach with the mortality rates of the top 10 cancers in the 75 counties in Arkansas from 2001 to 2005. Geographical variations with respect to the mortality rates of cancers are evaluated across Arkansas counties. Based on the contingency table, correspondence analysis model is developed and the simple indices which indicate the degree to which the regions and the cancers affect each other are calculated. Quantitative results are visualized and mapped in two-dimensional graphs.

Keywords

References

  1. Hans, D., Ojasoo, T. and Dore, J. (2000). Deaths from breast cancer: Tackling multidimensionality and non-linearity by correspondence analysis. The Journal of Steroid Biochemistry and Molecular Biology, 74, 195-202. https://doi.org/10.1016/S0960-0760(00)00123-0
  2. Haselkorn, T., Whittemore, A. S. and Lilienfeld, D. E. (2005). Incidence of small bowel cancer in the United States and worldwide: Geographic, temporal, and racial differences. Cancer Causes & Control, 16, 781-787. https://doi.org/10.1007/s10552-005-3635-6
  3. Liu, L., Deapen, D. and Bernstein, L. (1998). Socioeconomic status and cancers of the female breast and reproductive organs: A comparison across racial/ethnic populations in Los Angeles county, California (United States). Cancer Causes & Control, 9, 369-380. https://doi.org/10.1023/A:1008811432436
  4. Martin, A. A., Galan, Y. H., Rodriguez, A. J., Graupera, M., Lorenzo-Luaces, P., Fernandez, L. M., Camacho, R. and Lezcano, M. (1998). The Cuban national cancer registry: 1986-1990. European Journal of Epidemiology, 14, 287-297. https://doi.org/10.1023/A:1007463826932
  5. Matikainen, M. P., Pukkala, E., Schleutker, J., Tammela, T. L., Koivisto, P., Sankila, R. and Kallioniemi, O. (2001). Relatives of prostate cancer patients have an increased risk of prostate and stomach cancers: a population-based, cancer registry study in Finland. Cancer Causes & Control, 12, 223-230. https://doi.org/10.1023/A:1011283123610
  6. Palli, D., Russo, A. and Decarli, A. (2001). Dietary patterns, nutrient intake and gastric cancer in a high-risk area of Italy. Cancer Causes & Control, 12, 163-172. https://doi.org/10.1023/A:1008970310963
  7. Rosenberg, M. S., Sokal, R. R., Oden N. L. and DiGiovanni, D. (1999). Spatial autocorrelation of cancer in Western Europe. European Journal of Epidemiology, 15, 15-22. https://doi.org/10.1023/A:1007559728848
  8. Rushton, G., Peleg, I., Banerjee, A., Smith, G. and West, M. (2004). Analyzing geographic patterns of disease incidence: Rates of late-stage colorectal cancer in Iowa. Journal of Medical Systems, 28, 223-236. https://doi.org/10.1023/B:JOMS.0000032841.39701.36