Analysis on the spatiotemporal characteristics of gastric cancer in Liangzhou District, Wuwei from 2011 to 2012
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摘要: 目的 探究2011-2012年武威市凉州区胃癌发病的时空分布特征。方法 利用空间经验贝叶斯平滑、时空扫描统计量分析方法，对胃癌发病数据进行分析。结果 平滑后的胃癌发病率高低值地区分布集中，有明显的聚集趋势。纯空间扫描与时空扫描均探测到该地区胃癌发病存在聚集性，纯空间扫描结果包括永昌镇、五和乡、洪祥镇等三个聚集区，扫描时间为2011-2012年；时空扫描同样得到三个聚集区，但在聚集区类别和大小上与空间扫描存在差异，其聚集时间为2011年1月1日～2011年12月31日。男女性时空扫描结果表明男女性胃癌发病也具有聚集性，且女性聚集区范围大于男性。结论 武威市胃癌发病持续走高，防控工作严峻。结合空间经验贝叶斯平滑、时空扫描统计量方法，能够克服区域人口间的差异，准确的找出胃癌空间分布特征及时空聚集性。Abstract: Objective To explore the spatiotemporal distribution characteristics of gastric cancer in Liangzhou District, Wuwei from 2011 to 2012.Methods Based on the data of gastric cancer in Wuwei during 2011-2012, spatial empirical bayesian smoothing and space-time scan statistics analysis were carried out.Results The distribution of high and low gastric cancer incidence regions were concentrated after smoothed, and presented an spatial cluster phenomenon. Both purely spatial scan and space-time scan detected gastric cancer clusters in wuwei, purely spatial scan analysis showed that there have three clusters in 2011-2012, which included Yongchang, Wuhe, Hongxiang and other countries; Space-time scan analysis identified three spatiotemporal clusters in January 1,2011 to December 31,2011, but there had differences in cluster`s type and size between purely spatial scan and space-time scan. The result of space time scan statistics between male and female identified clusters in study area, and the cluster of female was larger than male.Conclusions The current gastric cancer incidence is still at a relative high level, the situation of prevent and control is not optimistic. The spatial empirical bayesian smoothing and space-time scan statistic method can overcome the differences among the regions, and find the spatial distribution of gastric cancer and spatial temporal clusters accurately.
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Key words:
- Gastric cancer /
- Bayes theorem /
- Data analysis, statistical
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曾昭时. 胃癌 [M]. 上海:上海科学技术出版社, 1987:4-5. 邹文斌,李兆申. 中国胃癌发病率及死亡率研究进展 [J]. 中国实用内科杂志, 2014,34(4):408-415. 陈有明,张聘年,刘海峰,等. 2004-2005年甘肃省武威市凉州区癌症死因调查 [J]. 地方病通报, 2010,25(1):18-20. 徐文体,李琳,董晓春,等. 天津市社区流感监测时空聚集性分析 [J]. 中国公共卫生, 2011,27(11):1399-1401. 张文增,李长青,冀国强,等. 回顾性时空重排扫描统计量在手足口病聚集性研究中的应用 [J]. 中华疾病控制杂志, 2012,16(1):73-76. 邢健男,贾曼红,王璐,等. 2004-2011年云南省注射吸毒者艾滋病流行的时空分析 [J]. 中华疾病控制杂志, 2014,18(4):317-321. Kulldorff M, Song C, Gregorio D, et al. Cancer map patterns: are they random or not?[J]. Am J Prev Med, 2006,30(Suppl 2):S37-S49. 邹文斌,吴浩,蔡全才,等. 胃癌危险因素研究进展 [J]. 中国实用内科杂志, 2014,34(4):415-420. 张丽秀,张建芳,张娟,等. 甘肃河西走廊西段农村地区胃癌流行状况调查 [J]. 甘肃医药, 2011,30(11):646-648. 李迎迎,孟郁洁,夏兰芳,等. 空间经验贝叶斯平滑法在肺癌死亡空间分析中的应用 [J]. 中国数字医学, 2014,9(3):104-106. Goovaerts P. Geostatistical analysis of disease data: accounting for spatial support and population density in the isopleth mapping of cancer mortality risk using area-to-point Poisson kriging [J]. Int J Health Geogr, 2006,5(1):52. 徐彬. 空间权重矩阵对Moran’s I指数影响的模拟分析 [D]. 南京:南京师范大学, 2007. Kulldorff M. A spatial scan statistic [J]. Communications in Statistics-Theory and Methods, 1997,26(6):1481-1496. 徐敏,曹春香,程锦泉,等. 甲流感疫情时空聚集性的GIS分析 [J]. 地球信息科学学报, 2010,12(5):707-712. 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):119-127. Cressie N. Regional mapping of incidence rates using spatial Bayesian models [J]. Med care, 1993,31(Suppl 5):YS60-YS65. 罗好曾,米登海,景天忠,等. 胃癌高发区武威市胃癌发病因素探讨 [J]. 癌症, 2005,24(5):563-566. 胡荣华. 甘肃省武威县胃癌高发原因探讨 [J]. 肿瘤, 1984,4(4):145-148. -
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