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个人射频电磁场暴露综合地图及其在流行病学研究中的潜在应用。

Comprehensive personal RF-EMF exposure map and its potential use in epidemiological studies.

作者信息

Gonzalez-Rubio Jesus, Najera Alberto, Arribas Enrique

机构信息

Medical Sciences, University of Castilla-La Mancha, Albacete, Spain.

Applied Physics, University of Castilla-La Mancha, Albacete, Spain.

出版信息

Environ Res. 2016 Aug;149:105-112. doi: 10.1016/j.envres.2016.05.010. Epub 2016 May 16.

Abstract

In recent years, numerous epidemiological studies, which deal with the potential effects of mobile phone antennas on health, have almost exclusively focused on their distance to mobile phone base stations. Although it is known that this is not the best approach to the problem, this situation occurs due to the numerous difficulties when determining the personal exposure to the radiofrequency electromagnetic fields (RF-EMF). However, due to the rise of personal exposimeters, the evolution of spatial statistics, the development of geographical information systems and the use of powerful software, new alternatives are available to deal with these epidemiological studies and thus overcome the aforementioned difficulties. Using these tools, this paper presents a lattice map of personal RF-EMF exposure from exterior mobile phone base stations, covering the entire 110 administrative regions in the city of Albacete (Spain). For this purpose, we used a personal exposimeter, Satimo EME Spy 140 model, performing measurements every 4s The exposimeter was located inside the plastic basket of a bicycle, whose versatility permitted the access to all the zones of the city. Once the exposure map was prepared, its relation with the known antenna locations was studied. The 64 mobile telephone antennas of the city were also georeferenced; the randomness of both variables (exposure and antennas) were studied by means of the Moran's I test. Results showed that the distribution of the antennas follows a grouped pattern (p<0.001), while the distribution of the average exposure values have a random distribution (p=0.618). In addition, we showed two Spearman correlation studies: the first between the average exposure values and the number of mobile telephone antennas per administrative region, and the second, also considering the antennas of the neighbouring regions. No substantial correlation was detected in either of the two cases. This study also reveals the weaknesses of the epidemiological studies, which only take into account the distance to the antennas, which would provide a new approach to the problem. By precisely knowing the resident population of each administrative region of the city, this proves to be highly useful to rely on a prepared aggregate data map based on the mean exposure values to RF-EMF in these sections. The displayed map would permit the execution of more accurate epidemiological studies, since it would be possible to compare the exposure measurements with the incidence data of a disease.

摘要

近年来,大量关于手机天线对健康潜在影响的流行病学研究几乎都只关注了它们与手机基站的距离。尽管人们知道这并非解决该问题的最佳方法,但由于在确定个人对射频电磁场(RF - EMF)的暴露情况时存在诸多困难,所以才出现了这种情况。然而,由于个人暴露测量仪的兴起、空间统计学的发展、地理信息系统的进步以及强大软件的使用,现在有了新的方法来处理这些流行病学研究,从而克服上述困难。利用这些工具,本文呈现了一张来自外部手机基站的个人RF - EMF暴露情况的格网地图,覆盖了阿尔巴塞特市(西班牙)的全部110个行政区。为此,我们使用了一台型号为Satimo EME Spy 140的个人暴露测量仪,每4秒进行一次测量。该暴露测量仪放置在自行车的塑料篮子内,自行车的灵活性使得能够进入城市的所有区域。一旦准备好暴露地图,就研究了它与已知天线位置的关系。该市的64个移动电话天线也进行了地理定位;通过莫兰指数(Moran's I)检验研究了两个变量(暴露和天线)的随机性。结果表明,天线的分布呈现出聚集模式(p < 0.001),而平均暴露值的分布是随机的(p = 0.618)。此外,我们展示了两项斯皮尔曼相关性研究:第一项是平均暴露值与每个行政区移动电话天线数量之间的相关性,第二项还考虑了相邻区域中的天线。在这两种情况下均未检测到显著相关性。这项研究还揭示了仅考虑与天线距离这一流行病学研究的不足之处,这将为该问题提供一种新的研究方法。通过精确了解城市每个行政区的常住人口,基于这些区域中RF - EMF平均暴露值的汇总数据地图被证明非常有用。所展示的地图将有助于开展更精确的流行病学研究,因为可以将暴露测量值与某种疾病的发病率数据进行比较。

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