Determinanti geografiche della mortalità per tumore tiroideo nella Sicilia orientale

Francesca Bitonti, A. Mazza
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Abstract

The study of geographic determinants in the processes of spreading infectious diseases has a long tradition. As a result of the increase in the incidence of chronic and non-infectious diseases, such as cancer and various types of heart disease, especially in the more advanced countries, the typical methods of spatial analysis have also been applied to these types of diseases. In fact, their heterogeneous aetiology often includes environmental risk factors that need to be investigated using geographic techniques. The object of this study is the possible influence of an environmental risk factor on the onset of thyroid cancer (TC): volcanic activity. Numerous studies conducted in different parts of the world show that in volcanic areas the incidence of this tumour is significantly higher than the national average. In the present work, we propose an exploratory study of the spatial distribution of TC in Eastern Sicily, where the Mt. Etna is located. Georeferencing the data provided by the Cancer Registry of Eastern Sicily, we will provide a visualization of the phenomenon through geographical maps, highlighting the areas with significantly higher incidence than expected. We will then apply the generalized Ripley’s K-function and the local Moran’s I to verify the presence of high-risk areas, taking into account both the proximity to the volcano and the non-homogeneous distribution of the population over the territory. Our results seem to confirm the consolidated opinion that the presence of a volcano can determine the increase in the incidence of TC.
西西里岛东部甲状腺癌死亡率的地理决定因素
研究传染病传播过程中的地理决定因素具有悠久的传统。由于慢性和非传染性疾病,如癌症和各种类型的心脏病的发病率增加,特别是在较先进的国家,空间分析的典型方法也被应用于这些类型的疾病。事实上,它们的异质性病因学通常包括环境风险因素,需要使用地理技术进行调查。本研究的目的是探讨一个环境危险因素对甲状腺癌(TC)发病的可能影响:火山活动。在世界不同地区进行的大量研究表明,在火山地区,这种肿瘤的发病率明显高于全国平均水平。在本文中,我们对埃特纳火山所在的西西里岛东部的TC空间分布进行了探索性研究。根据西西里岛东部癌症登记处提供的地理参考数据,我们将通过地理地图将这一现象可视化,突出显示发病率明显高于预期的地区。然后,我们将应用广义Ripley’s k函数和局部Moran’s I来验证高风险区域的存在,同时考虑到靠近火山和人口在领土上的非均匀分布。我们的结果似乎证实了一个公认的观点,即火山的存在可以决定TC发病率的增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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