ABSTRACT This study identifies pediatric cancer clusters in Florida for the years 2000–2015. Unlike previous publications on pediatric cancers in Florida, it draws upon an Environmental Protection Agency dataset on carcinogenic air pollution, the National Air Toxics Assessment, as well as more customary demographic variables (age, sex, race). The focus is upon the three most widely seen pediatric cancer types in the USA: brain tumors, leukemia, and lymphomas. The covariates are used in a Poisson regression to predict cancer incidence. The adjusted cluster analysis quantifies the role of each covariate. Using Florida Association of Pediatric Tumor Programs data for 2000–2015, we find statistically significant pediatric cancer clusters, but we cannot associate air pollution with the cancer incidence. Supplementary materials for this article are available online.

中文翻译：

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佛罗里达州小儿癌症的模式：2000-2015年

摘要这项研究确定了2000-2015年佛罗里达州的儿科癌症群。与佛罗里达州以前有关小儿癌症的出版物不同，它借鉴了美国环境保护署关于致癌性空气污染的数据集，《国家空气毒理学评估》以及更多的常规人口统计学变量（年龄，性别，种族）。重点关注美国三种最常见的儿科癌症类型：脑瘤，白血病和淋巴瘤。协变量用于Poisson回归以预测癌症发生率。调整后的聚类分析量化了每个协变量的作用。使用佛罗里达州儿科肿瘤计划协会2000-2015年的数据，我们发现统计学上有统计学意义的儿科癌症簇，但我们无法将空气污染与癌症发病率联系起来。