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首页> 外文会议>Annual conference of the International Society of Exposure Science >Inclusion Of Citizen Science And Atypical Environmental Data In Support Of Environmental Health Decision-Making
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Inclusion Of Citizen Science And Atypical Environmental Data In Support Of Environmental Health Decision-Making

机译：纳入公民科学和非典型环境数据以支持环境健康决策

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Aim Discuss the rapidly evolving areas of citizen science (CS) and community based participatory research including highlights of both the opportunities and challenges for furthering our understanding of environmental exposures and health effects. Such information, in addition to traditional epidemiology approaches, can be used to help further site specific exposure and risk assessments, as well as providing additional weight-of-evidence to help underpin risk management decisions. Methods Disaster responses and other investigations, such as the Gulf Oil Spill and hydraulic fracturing, incorporating community engaged research will be discussed to provide additional context and understanding of data acquired through such non-traditional forums. Challenges include the use of non-validated data, harmonization of disparate data sets, and the interpretation and communication of findings. Case studies will highlight the benefits, as well as the challenges, in using CS approaches to promote environmental public health. Focus will include user-friendly tools and technologies for assessing environmental exposures, data quality Et management, and interpretation of information and risk communications. Results Attendees will gain insight into: 1) the important need and role of CS in supporting responses to emerging environmental threats and disasters; 2) the use and limitations of CS exposure assessment tools and data; 3) the generation of useful data through effective planning and partnerships, 4) interpretation of data, ethical considerations, and communicating results; and 5) the need to foster CS to help measure and understand environmental exposures. Conclusions While complex and often challenging, CS approaches have the positive benefits of bringing local expertise and knowledge to the table, improving community involvement, understanding, and acceptance of the environmental information used for decision-making. Lastly, such efforts further educate and strengthen communities to take an active role in understanding and monitoring their environment to promote environmental health and to build infrastructure and resiliency in responding to environmental disasters and other challenges.
机译：目的讨论公民科学（CS）和基于社区的参与性研究的迅速发展领域，包括进一步加深我们对环境暴露和健康影响的认识的机遇和挑战。除了传统的流行病学方法外，此类信息还可用于帮助进一步进行特定地点的暴露和风险评估，以及提供额外的证据权重以帮助支撑风险管理决策。方法将结合社区参与的研究讨论灾难响应和其他调查，例如墨西哥湾漏油和水力压裂，以提供更多背景信息，并了解通过此类非传统论坛获得的数据。挑战包括使用未经验证的数据，统一不同的数据集以及对结果的解释和交流。案例研究将重点介绍使用CS方法促进环境公共卫生的好处和挑战。重点将包括用户友好的工具和技术，用于评估环境暴露，数据质量和管理以及信息和风险沟通的解释。结果与会者将深入了解：1）CS在支持对新兴环境威胁和灾难的响应中的重要需求和作用; 2）CS暴露评估工具和数据的使用和局限性; 3）通过有效的计划和合作伙伴关系生成有用的数据; 4）数据的解释，道德考量和结果交流; 5）需要促进CS来帮助测量和了解环境暴露。结论虽然复杂且通常具有挑战性，但是CS方法具有积极的好处，可以将本地的专业知识和知识带到桌面，提高社区的参与度，对决策所用环境信息的理解和接受度。最后，这些努力进一步教育和加强社区，使其在理解和监测其环境中发挥积极作用，以促进环境健康，并为应对环境灾难和其他挑战而建立基础设施和抵御能力。

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