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A Critical Assessment of Geographic Clusters of Breast and Lung Cancer Incidences among Residents Living near the Tittabawassee and Saginaw Rivers, Michigan, USA

机译:对居住在美国密歇根州Tittabawassee和Saginaw河附近的居民中乳腺癌和肺癌发病率地理集群的关键评估

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Objectives. To assess previously determined geographic clusters of breast and lung cancer incidences among residents living near the Tittabawassee and Saginaw Rivers, Michigan, using a new set of environmental factors.Materials and Methods. Breast and lung cancer data were acquired from the Michigan Department of Community Health, along with point source pollution data from the U.S. Environmental Protection Agency. The datasets were used to determine whether there is a spatial association between disease risk and environmental contamination. GIS and spatial techniques were combined with statistical analysis to investigate local risk of breast and lung cancer.Results and Conclusion. The study suggests that neighborhoods in close proximity to the river were associated with a high risk of breast cancer, while increased risk of lung cancer was detected among neighborhoods in close proximity to point source pollution and major highways. Statistically significant(P≤.001)clusters of cancer incidences were observed among residents living near the rivers. These findings are useful to researchers and governmental agencies for risk assessment, regulation, and control of environmental contamination in the floodplains.
机译:目标。使用一组新的环境因素评估居住在密歇根州蒂塔巴瓦湖和萨吉诺河附近的居民中乳腺癌和肺癌发病率的先前确定的地理集群。材料和方法。乳腺癌和肺癌数据来自密歇根州社区卫生部,以及来自美国环境保护署的点源污染数据。数据集用于确定疾病风险和环境污染之间是否存在空间关联。将GIS和空间技术与统计分析相结合,以调查乳腺癌和肺癌的局部风险。结果与结论。研究表明,靠近河流的社区患乳腺癌的风险较高,而在靠近点源污染和主要公路的社区中发现肺癌的风险增加。在靠近河流的居民中观察到具有统计学意义的(P≤.001)癌症发病率集群。这些发现对于研究人员和政府机构进行风险评估,监管和控制洪泛区的环境污染很有用。

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