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Spatial Autocorrelation of Breast and Prostate Cancer in Slovakia

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  • Katarína Vilinová

    (Department of Geography and Regional Development, Faculty of Natural Sciences, Constantine the Philosopher University in Nitra, Tr. A. Hlinku 1, 94974 Nitra, Slovakia)

Abstract

Cancer is one of the dominant causes of death in the Slovak population. Monitoring the course of the cancer death rate in Slovakia can be considered as a relevant subject for geographical research. Relatively little is known about the geographic distribution of breast and prostate cancer incidence in Slovakia. In the submitted paper, it is hypothesized that breast and prostate cancer in the examined territory are characterized by different intensities, incidences, and spatial differences. The spatial patterns of breast and prostate cancer in Slovakia were examined by means of spatial autocorrelation analyses with the Local Moran’s I and Anselin Local Moran’s statistics. Data on standardized death rates of breast and prostate cancer in Slovakia between 2001 and 2018 were used. Prostate cancer in men and breast cancer in women show a positive statistically significant Global Moran’s I, whose values indicate a tendency to cluster. The Anselin Local Moran’s I analysis indicates significant clusters of breast cancer in the western part of Slovakia, and prostate cancer clusters mostly in the central part of Slovakia. The findings we have obtained in this study may help us investigate further hypotheses regarding the causes and identification of spatial differences in breast and prostate cancer incidence. Our findings might stimulate further research into the possible causes which underlie the clusters.

Suggested Citation

  • Katarína Vilinová, 2020. "Spatial Autocorrelation of Breast and Prostate Cancer in Slovakia," IJERPH, MDPI, vol. 17(12), pages 1-20, June.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:12:p:4440-:d:374228
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    References listed on IDEAS

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    1. Khalid Al-Ahmadi & Ali Al-Zahrani, 2013. "Spatial Autocorrelation of Cancer Incidence in Saudi Arabia," IJERPH, MDPI, vol. 10(12), pages 1-22, December.
    2. Heck, K.E. & Wagener, D.K. & Schatzkin, A. & Devesa, S.S. & Breen, N., 1997. "Socioeconomic status and breast cancer mortality, 1989 through 1993: An analysis of education data from death certificates," American Journal of Public Health, American Public Health Association, vol. 87(7), pages 1218-1222.
    3. Lia Scott & Lee R. Mobley & Dora Il’yasova, 2017. "Geospatial Analysis of Inflammatory Breast Cancer and Associated Community Characteristics in the United States," IJERPH, MDPI, vol. 14(4), pages 1-10, April.
    4. Michal Kozubik & Jitse P. van Dijk & Daniela Filakovska Bobakova, 2019. "Aspects of Illness and Death among Roma—Have They Changed after More than Two Hundred Years?," IJERPH, MDPI, vol. 16(23), pages 1-11, November.
    5. Roberts, M.C. & Wheeler, S.B. & Reeder-Hayes, K., 2015. "Racial/ethnic and socioeconomic disparities in endocrine therapy adherence in breast cancer: A systematic review," American Journal of Public Health, American Public Health Association, vol. 105, pages 4-15.
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