课题基金 / 基金详情

5G expOsure, causaL health effects, and rIsk perception in children and workers through stAkeholder engagemenT (GOLIAT)

5G expOsure, causaL health effects, and rIsk perception in children and workers through stAkeholder engagemenT (GOLIAT)
通过利益相关者参与,了解 5G 暴露、因果健康影响以及儿童和工人的风险认知 (GOLIAT)
批准号:
10038101
负责人:
金额:
$56.12万
依托单位:
依托单位国家:
英国
项目类别:
EU-Funded
财政年份:
2022
资助国家:
英国
项目状态:
未结题
起止时间:
2022 至 --

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中文摘要
翻译
尽管无线技术的新应用迅速增长,但人们对其对健康的潜在影响知之甚少。特别是,应特别关注最脆弱(即25岁以下的年轻人)和最易受影响(即工人)的群体。GOLIAT的目标是监测射频电磁场(RF-EMF)暴露,特别是来自5G的暴露,提供对其潜在因果健康影响的新见解,并了解如何通过公民参与来感知和最好地传达暴露和风险。应用综合和跨学科的泛欧洲方法,我们将i)开发下一代暴露评估方法,以估计年轻人全身和器官的RF-EMF累积剂量; ii)确定5G部署导致的新职业RF-EMF源,并估计工人的RF-EMF暴露水平和模式; iii)使用因果推理评估RF-EMF对年轻人和工人的神经心理学影响,以及iv)量化人群水平暴露的潜在健康影响; v)使用体外、体内、人体和计算机实验评估5G对脑功能、温度调节和自由基应激的影响; vi)确定减少暴露的有效方法; vii)更好地理解对RF-EMF和5G的风险认知; viii)采用包容性参与模式,共同设计沟通方法/工具,以解决RF-EMF的问题和误解; ix)向利益相关者传播GOLIAT的结果,并将其纳入政策行动; x)对RF-EMF和5G的社会和伦理影响进行更广泛的分析; Xi)开发FAIR数据基础设施;以及xii)开展与EMF和卫生集群有关的活动。预期结果将有助于提供关于年轻人和工人暴露于(5G)RF-EMF的潜在影响的有力证据,并有助于制定预防/减少新一代无线电通信网络(包括物联网)暴露的指导方针。GOLIAT是欧洲EMF和健康集群的一部分。
英文摘要
Despite the rapid growth in novel applications of wireless technology, comparatively little is known about their potential impacts on health. In particular, special attention should be paid to the most vulnerable (i.e. young people up to 25 years old) and most exposed (i.e. workers) populations. The aims of GOLIAT are to monitor radiofrequency electromagnetic fields (RF-EMF) exposure, particularly from 5G, provide novel insights into its potential causal health effects, and understand how exposures and risks are perceived and best communicated using citizen engagement. Applying an integrative and transdisciplinary pan-European approach, we will i) develop next generation exposure assessment methods to estimate aggregated RF-EMF dose to the whole-body and organs in young people; ii) identify new occupational RF-EMF sources resulting from 5G deployment and estimate RF-EMF exposure levels and patterns in workers; iii) assess neuropsychological effects of RF-EMF in young people and workers using causal inference, and iv) quantify potential health impacts of exposures at the population level; v) assess effects of 5G on brain function, thermo regulation, and radical stress using in vitro, in vivo, human, and in silico experiments; vi) identify effective means of exposure reduction; vii) better understand risk perceptions to RF-EMF and 5G; viii) apply an inclusive engagement model and co-design communication methods/tools to address RF-EMF concerns and misconceptions; ix) disseminate GOLIAT’s results to stakeholders and integrate them into policy actions; x) implement a broader analysis of the societal and ethical implications of RF-EMF and 5G; xi) develop a FAIR data infrastructure; and xii) perform activities related to the EMF and health cluster. The expected results will serve to deliver robust evidence on the potential effects of (5G) RF-EMF exposure in young people and workers, and contribute to developing guidelines for exposure prevention/reduction from new generation radio-communication networks including internet of things. GOLIAT is part of the European cluster on EMFs and health.
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