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摘要:
地理空间分析技术应用于肿瘤流行病学，为探索肿瘤的时空分布规律提供了方法基础和实现途径。空间插值方法通过已知样本推算缺乏数据地区的属性值，全面描述肿瘤的分布状况。空间自相关和空间扫描技术通过统计检验确定肿瘤的时空分布规律，明确肿瘤某种属性的聚集程度和聚集区域。地理加权回归方法可用于探索与空间位置相关的肿瘤病因或危险因素，并评价它们的关联程度。将地理空间分析技术应用于肿瘤流行病学中，可以直观有效地反映肿瘤地理分布特征及其变化规律，也为肿瘤病因及防治策略的研究提供更为可靠的解决方案。
Abstract:The application of geographical spatial analysis in cancer epidemiology provides a methodological basis and realization approach to explore spatial and temporal distribution of cancer. The spatial interpolation method calculates the lack of data area property values by a known sample and provides a comprehensive description of the distribution of the tumor. Both of spatial autocorrelation and spatial scan determine the spatial and temporal distribution of cancer by statistical tests, to find out the degree of aggregation and accumulation area of some specific cancer property. The geographical weighted regression method can be used to explore the etiology and risk factors associated with the spatial and temporal distribution of cancer and to evaluate their correlation degree. The application of geospatial analysis in cancer epidemiology can reflect the cancer distribution characteristics and geographic variation intuitively and effectively, and provide more reliable solution for cancer etiology and cancer prevention strategies.
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Key words:
- Geographic information system /
- Spatial analysis /
- Cancer /
- Epidemiology
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[1] Chen W, Zheng R, Baade PD, et al. Cancer statistics in China, 2015[J]. CA Cancer J Clin, 2016, 66(2): 115-32. doi: 10.3322/caac.21338
[1] Chen W, Zheng R, Baade PD, et al. Cancer statistics in China, 20 15[J]. CA Cancer J Clin, 2016, 66(2): 115-32. [2] Wu S, Powers S, Zhu W, et al. Substantial contribution of extrinsic risk factors to cancer development[J]. Nature, 2016, 52 9(7584): 43-7. [2] Wu S, Powers S, Zhu W, et al. Substantial contribution of extrinsic risk factors to cancer development[J]. Nature, 2016, 529(7584): 43-7. http://cn.bing.com/academic/profile?id=2210259689&encoded=0&v=paper_preview&mkt=zh-cn
[3] 许家琨. 常用大地坐标系的分析比较[J]. 海洋测绘, 2005, 25(6): 71 -4. [Xu JK. Analysis and comparison on general geodetic coordinate systems[J]. Hai Yang Ce Hui, 2005, 25(6): 71-4.] [3] 许家琨. 常用大地坐标系的分析比较[J]. 海洋测绘, 2005, 25(6): 71-4. http://www.cnki.com.cn/Article/CJFDTOTAL-HYCH200506022.htm Xu JK. Analysis and comparison on general geodetic coordinate systems[J]. Hai Yang Ce Hui, 2005, 25(6): 71-4.u JK. Analysis and comparison on general geodetic coordinate systems[J]. Hai Yang Ce Hui, 2005, 25(6): 71-4. http://www.cnki.com.cn/Article/CJFDTOTAL-HYCH200506022.htm
[4] 杨慧主编. 空间分析与建模[M]. 北京: 清华大学出版社, 2013: 130-43. Yang H. Spatial analysis and modeling[M]. Beijing: Tsinghua University Press, 2013: 130-43.ang H. Spatial analysis and modeling[M]. Beijing: Tsinghua University Press, 2013: 130-43.
[4] 杨慧主编. 空间分析与建模[M]. 北京: 清华大学出版社, 2013: 13 0-43. [Yang H. Spatial analysis and modeling[M]. Beijing: Tsinghua University Press, 2013: 130-43.] [5] 曲宸绪, 姜勇, 武燕萍, 等. 使用反距离权重内插法绘制中国 19 90年代肿瘤分布地图[J]. 中华流行病学杂志, 2006, 27(3): 23 0-3. [Qu CX, Jiang Y, Wu YP, et al. Study on the development of a choropleth atlas on cancer mortality using the inverse distance weight interpolation in the 1990's[J]. Zhonghua Liu Xing Bing Xue Za Zhi, 2006, 27(3): 230-3.] [5] 曲宸绪, 姜勇, 武燕萍, 等. 使用反距离权重内插法绘制中国1990年代肿瘤分布地图[J]. 中华流行病学杂志, 2006, 27(3): 230-3. http://www.cnki.com.cn/Article/CJFDTOTAL-ZHLX200603012.htm Qu CX, Jiang Y, Wu YP, et al. Study on the development of a choropleth atlas on cancer mortality using the inverse distance weight interpolation in the 1990's[J]. Zhonghua Liu Xing Bing Xue Za Zhi, 2006, 27(3): 230-3.u CX, Jiang Y, Wu YP, et al. Study on the development of a choropleth atlas on cancer mortality using the inverse distance weight interpolation in the 1990's[J]. Zhonghua Liu Xing Bing Xue Za Zhi, 2006, 27(3): 230-3. http://www.cnki.com.cn/Article/CJFDTOTAL-ZHLX200603012.htm
[6] Wu K, Li K. Association between esophageal cancer and drought in china by using geographic information system[J]. Environ Int, 20 07, 33(5): 603-8. [6] Wu K, Li K. Association between esophageal cancer and drought in china by using geographic information system[J]. Environ Int, 2007, 33(5): 603-8. doi: 10.1016/j.envint.2007.01.001
[7] 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.[J]. Spat Spatiotemporal Epidemiol, 2013, 5: 27-37. doi: 10.1016/j.sste.2013.03.002
[7] Chien LC, Yu HL, Schootman M. Efficient mapping and geographic disparities in breast cancer mortality at the countylevel by race and age in the U.S.[J]. Spat Spatiotemporal Epidemiol, 2013, 5: 27-37. [8] Getis A. Spatial Autocorrelation[M]// Fischer MM, Getis A. Handbook of applied spatial analysis: Software tools, methods and applications. Berlin: Springer, 2010: 255-78. [8] Getis A. Spatial Autocorrelation[M]// Fischer MM, Getis A. Handbook of applied spatial analysis: Software tools, methods and applications. Berlin: Springer, 2010: 255-78.
[9] Jackson MC, Huang L, Xie Q, et al. A modified version of Moran's I[J]. Int J Health Geogr, 2010, 9: 33. [9] Jackson MC, Huang L, Xie Q, et al. A modified version of Moran's I[J]. Int J Health Geogr, 2010, 9: 33. doi: 10.1186/1476-072X-9-33
[10] Xiong H, Shekhar S. Geary's C[M]// Shekhar S, Xiong H. Encyclopedia of GIS. New York: Springer, 2008: 329-30. [10] Xiong H, Shekhar S. Geary's C[M]// Shekhar S, Xiong H. Encyclopedia of GIS. New York: Springer, 2008: 329-30.
[11] 冯金杰, 张辉国, 胡锡健. 局部Moran's I的尺度依赖性[J]. 统计 与应用, 2015, 4(3): 162-8. [Feng JJ, Zhang HG, Hu XJ. The scale dependence of the local Moran's I[J]. Tong Ji Yu Ying Yong, 2015, 4( 3): 162-8.] [11] 冯金杰, 张辉国, 胡锡健. 局部Moran's I的尺度依赖性[J]. 统计与应用, 2015, 4(3): 162-8. Feng JJ, Zhang HG, Hu XJ. The scale dependence of the local Moran's I[J]. Tong Ji Yu Ying Yong, 2015, 4(3): 162-8.eng JJ, Zhang HG, Hu XJ. The scale dependence of the local Moran's I[J]. Tong Ji Yu Ying Yong, 2015, 4(3): 162-8.
[12] Boots B. Local measures of spatial association[J]. Ecoscience, 20 02, 9(2): 168-76. [12] Boots B. Local measures of spatial association[J]. Ecoscience, 2002, 9(2): 168-76. http://cn.bing.com/academic/profile?id=1986799930&encoded=0&v=paper_preview&mkt=zh-cn
[13] Ord JK, Getis A. Testing for local spatial autocorrelation in the presence of global autocorrelation[J]. J Regional Sci, 2001, 41(3): 411-32. doi: 10.1111/0022-4146.00224
[13] Ord JK, Getis A. Testing for local spatial autocorrelation in the presence of global autocorrelation[J]. J Regional Sci, 2001, 41(3): 41 1-32. [14] Smith MJD, Goodchild MF, Longley P. Geospatial analysis: A comprehensive guide to principles, techniques and software tools (2nd ed)[M]. Leicester: Metador, 2009: 187-8. [14] Smith MJD, Goodchild MF, Longley P. Geospatial analysis: A comprehensive guide to principles, techniques and software tools (2nd ed)[M]. Leicester: Metador, 2009: 187-8.
[15] 王临池, 居冰清, 胡一河, 等. 苏州市2012—2013年胃癌死亡空 间流行病学分析[J]. 中国肿瘤, 2014, 23(11): 899-902. [Wang LC, Ju BQ, Hu YH, et al. Spatial epidemiological analysis on the mortality of gastric cancer in Suzhou, 2012-2013[J]. Zhongguo Zhong Liu, 2014, 23(11): 899-902.] [15] 王临池, 居冰清, 胡一河, 等. 苏州市2012—2013年胃癌死亡空间流行病学分析[J]. 中国肿瘤, 2014, 23(11): 899-902. http://www.cnki.com.cn/Article/CJFDTOTAL-ZHLU201411004.htm Wang LC, Ju BQ, Hu YH, et al. Spatial epidemiological analysis on the mortality of gastric cancer in Suzhou, 2012-2013[J]. Zhongguo Zhong Liu, 2014, 23(11): 899-902.ang LC, Ju BQ, Hu YH, et al. Spatial epidemiological analysis on the mortality of gastric cancer in Suzhou, 2012-2013[J]. Zhongguo Zhong Liu, 2014, 23(11): 899-902. http://www.cnki.com.cn/Article/CJFDTOTAL-ZHLU201411004.htm
[16] 唐咸艳, 黄天壬, 朱小东, 等. 应用空间自相关分析研究广西壮族自治区肝癌的空间异质性分布特征[J]. 中华流行病学杂志, 2009, 30(2): 167-70. Tang XY, Huang TR, Zhu XD, et al. Using spatial autocorrelation analysis to study spatial heterogeneity of liver cancer in Guangxi[J]. Zhonghua Liu Xing Bing Xue Za Zhi, 2009, 30(2): 167-70.ang XY, Huang TR, Zhu XD, et al. Using spatial autocorrelation analysis to study spatial heterogeneity of liver cancer in Guangxi[J]. Zhonghua Liu Xing Bing Xue Za Zhi, 2009, 30(2): 167-70.
[16] 唐咸艳, 黄天壬, 朱小东, 等. 应用空间自相关分析研究广西壮 族自治区肝癌的空间异质性分布特征[J]. 中华流行病学杂志, 20 09, 30(2): 167-70. [Tang XY, Huang TR, Zhu XD, et al. Using spatial autocorrelation analysis to study spatial heterogeneity of liver cancer in Guangxi[J]. Zhonghua Liu Xing Bing Xue Za Zhi, 20 09, 30(2): 167-70.] [17] Rosenberg MS, Sokal RR, Oden NL, et al. Spatial autocorrelation of cancer in Western Europe[J]. Eur J Epidemiol, 1999, 15(1): 15-22. doi: 10.1023/A:1007559728848
[17] Rosenberg MS, Sokal RR, Oden NL, et al. Spatial autocorrelation of cancer in Western Europe[J]. Eur J Epidemiol, 1999, 15(1): 15 -22. [18] Kulldorff M. Spatial scan statistics: Models, calculations, and applications[M]. Netherland: Springer, 1999: 303-22. [18] Kulldorff M. Spatial scan statistics: Models, calculations, and applications[M]. Netherland: Springer, 1999: 303-22.
[19] 王培安, 罗卫华, 白永平. 基于空间自相关和时空扫描统计量的聚集比较分析[J]. 人文地理, 2012, 27(2): 119-27. http://www.cnki.com.cn/Article/CJFDTOTAL-RWDL201202024.htm Wang PA, Luo WH, Bai YP. Comparative analysis of aggregation detection based on spatial autocorrelation and spatial-temporal scan statistics[J]. Ren Wen Di Li, 2015, 27(2): 119-27. http://www.cnki.com.cn/Article/CJFDTOTAL-RWDL201202024.htm
[19] 王培安, 罗卫华, 白永平. 基于空间自相关和时空扫描统计量的 聚集比较分析[J]. 人文地理, 2012, 27(2): 119-27. [Wang PA, Luo WH, Bai YP. Comparative analysis of aggregation detection based on spatial autocorrelation and spatial-temporal scan statistics[J]. Ren Wen Di Li, 2015, 27(2): 119-27.] [20] Zhou HB, Liu SY, Lei L, et al. Spatio-temporal analysis of female breast cancer incidence in Shenzhen, 2007-2012[J]. Chin J Cancer, 2015, 34(5): 198-204. http://cn.bing.com/academic/profile?id=1601705920&encoded=0&v=paper_preview&mkt=zh-cn
[20] Zhou HB, Liu SY, Lei L, et al. Spatio-temporal analysis of female breast cancer incidence in Shenzhen, 2007-2012[J]. Chin J Cancer, 2015, 34(5): 198-204. [21] Peng W, Chen Y, Jiang Q, et al. Spatial analysis of hepatocellular carcinoma and socioeconomic status in china from a populationbased cancer registry[J]. Cancer Epidemiol, 2010, 34(1): 29-33. [21] Peng W, Chen Y, Jiang Q, et al. Spatial analysis of hepatocellular carcinoma and socioeconomic status in china from a population-based cancer registry[J]. Cancer Epidemiol, 2010, 34(1): 29-33. doi: 10.1016/j.canep.2009.12.013
[22] Jemal A, Kulldorff M, Devesa SS, et al. A geographic analysis of prostate cancer mortality in the United States, 1970-89[J]. Int J Cancer, 2002, 101(2): 168-74. [22] Jemal A, Kulldorff M, Devesa SS, et al. A geographic analysis of prostate cancer mortality in the United States, 1970-89[J]. Int J Cancer, 2002, 101(2): 168-74. doi: 10.1002/(ISSN)1097-0215
[23] Fang Z, Kulldorff M, Gregorio DI. Brain cancer mortality in the United States, 1986 to 1995: A geographic analysis[J]. Neuro Oncol, 2004, 6(3): 179-87. [23] Fang Z, Kulldorff M, Gregorio DI. Brain cancer mortality in the United States, 1986 to 1995: A geographic analysis[J]. Neuro Oncol, 2004, 6(3): 179-87. doi: 10.1215/S1152851703000450
[24] Brunsdon C, Fotheringham AS, Charlton ME. Geographically weighted regression: A method for exploring spatial nonstationarity[J]. Geogr Anal, 1996, 28(4): 281-98. [24] Brunsdon C, Fotheringham AS, Charlton ME. Geographically weighted regression: A method for exploring spatial nonstationarity[J]. Geogr Anal, 1996, 28(4): 281-98. http://cn.bing.com/academic/profile?id=2047120335&encoded=0&v=paper_preview&mkt=zh-cn
[25] Fotheringham AS, Crespo R, Yao J. Geographical and temporal weighted regression (GTWR)[J]. Geog Anal, 2015, 47(4): 431-52. doi: 10.1111/gean.2015.47.issue-4
[25] Fotheringham AS, Crespo R, Yao J. Geographical and temporal weighted regression (GTWR)[J]. Geog Anal, 2015, 47(4): 431-52. [26] 董冲亚, 康晓平. 基于地理加权回归模型的我国女性肺癌发病空 间影响因素分析[J]. 环境与健康杂志, 2014, 31(9): 769-72. [Dong CY, Kang XP. Analysis of spatial factors of women's lung cancer incidence in China: A geographically weighted regression model approach[J]. Huan Jing Yu Jian Kang Za Zhi, 2014, 31(9): 769-72.] [26] 董冲亚, 康晓平. 基于地理加权回归模型的我国女性肺癌发病空间影响因素分析[J]. 环境与健康杂志, 2014, 31(9): 769-72. http://www.cnki.com.cn/Article/CJFDTOTAL-HJYJ201409007.htm Dong CY, Kang XP. Analysis of spatial factors of women's lung cancer incidence in China: A geographically weighted regression model approach[J]. Huan Jing Yu Jian Kang Za Zhi, 2014, 31(9): 769-72. http://www.cnki.com.cn/Article/CJFDTOTAL-HJYJ201409007.htm
[27] 戚晓鹏, 计伟, 任红艳, 等. 淮河流域上消化道肿瘤与环境污染的 模型分析[J]. 地球信息科学学报, 2012, 14(4): 432-41. [Qi XP, Ji W, Ren HY, et al. Model Analysis of Upper Digestive Tract Cancer and Environmental Pollution in Huaihe River Watershed[J]. Di Qiu Xin Xi Ke Xue Xue Bao, 2012, 14(4): 432-41.] [27] 戚晓鹏, 计伟, 任红艳, 等. 淮河流域上消化道肿瘤与环境污染的模型分析[J]. 地球信息科学学报, 2012, 14(4): 432-41. http://www.cnki.com.cn/Article/CJFDTOTAL-DQXX201204002.htm Qi XP, Ji W, Ren HY, et al. Model Analysis of Upper Digestive Tract Cancer and Environmental Pollution in Huaihe River Watershed[J]. Di Qiu Xin Xi Ke Xue Xue Bao, 2012, 14(4): 432-41. http://www.cnki.com.cn/Article/CJFDTOTAL-DQXX201204002.htm
[28] Yao N, Foltz SM, Odisho AY, et al. Geographic analysis of urologist density and prostate cancer mortality in the United States[J]. PLoS One, 2015, 10(6): e0131578. doi: 10.1371/journal.pone.0131578
[28] Yao N, Foltz SM, Odisho AY, et al. Geographic analysis of urologist density and prostate cancer mortality in the United States[J]. PLoS One, 2015, 10(6): e0131578. [29] 中华人民共和国恶性肿瘤地图集编辑委员会主编. 中华人 民共和国恶性肿瘤地图集[M]. 上海：中华地图学社, 1979: 1- 99. [Editorial Committee for the Atlas of Cancer Mortality in the People's Republic of China. Atlas of cancer mortality in the People's Republic of China[M]. Shanghai: China Map Press, 19 79: 1-99.] [29] 中华人民共和国恶性肿瘤地图集编辑委员会主编. 中华人民共和国恶性肿瘤地图集[M]. 上海: 中华地图学社, 1979: 1-99. Editorial Committee for the Atlas of Cancer Mortality in the People's Republic of China. Atlas of cancer mortality in the People's Republic of China[M]. Shanghai: China Map Press, 1979: 1-99.
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