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社区参与式空气监测,增强美墨边境地区韧性。

Community-Engaged Air Monitoring to Build Resilience Near the US-Mexico Border.

机构信息

Tracking California, Public Health Institute, 555 12th St, Oakland, CA 94607, USA.

Comite Civico del Valle, 235 Main St, Brawley, CA 92227, USA.

出版信息

Int J Environ Res Public Health. 2020 Feb 9;17(3):1092. doi: 10.3390/ijerph17031092.

DOI:10.3390/ijerph17031092
PMID:32050428
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7037815/
Abstract

Initiated in response to community concerns about high levels of air pollution and asthma, the Imperial County Community Air Monitoring Project was conducted as a collaboration between a community-based organization, a non-governmental environmental health program, and academic researchers. This community-engaged research project aimed to produce real-time, community-level air quality information through the establishment of a community air monitoring network (CAMN) of 40 low-cost particulate matter (PM) monitors in Imperial County, California. Methods used to involve the community partner organization and residents in the development, operation, and use of the CAMN included the following: (1) establishing equitable partnerships among the project collaborators; (2) forming a community steering committee to guide project activities; (3) engaging residents in data collection to determine monitor sites; (4) providing hands-on training to assemble and operate the air monitors; (5) conducting focus groups to guide display and dissemination of monitoring data; and (6) conducting trainings on community action planning. This robust community engagement in the project resulted in increased awareness, knowledge, capacity, infrastructure, and influence for the community partner organization and among community participants. Even after the conclusion of the original research grant funding for this project, the CAMN continues to be operated and sustained by the community partner, serving as a community resource used by residents, schools, researchers, and others to better understand and address air pollution and its impacts on community health, while strengthening the ability of the community to prepare for, respond to, and recover from harmful air pollution.

摘要

应社区对空气污染水平和哮喘问题的关注,帝国县社区空气监测项目由一个社区组织、一个非政府环境健康项目和学术研究人员合作开展。这个社区参与的研究项目旨在通过在加利福尼亚州帝国县建立一个由 40 个低成本颗粒物(PM)监测器组成的社区空气监测网络(CAMN),来提供实时的社区层面空气质量信息。为了让社区合作伙伴组织和居民参与到 CAMN 的开发、运营和使用中,我们采用了以下方法:(1)在项目合作者之间建立平等的伙伴关系;(2)成立一个社区指导委员会来指导项目活动;(3)让居民参与数据收集,以确定监测点;(4)提供实际操作培训,以组装和操作空气监测器;(5)开展焦点小组讨论,以指导监测数据的展示和传播;(6)开展社区行动计划培训。通过这种强有力的社区参与,社区合作伙伴组织及其社区参与者的意识、知识、能力、基础设施和影响力都得到了提高。即使该项目的原始研究资助结束后,CAMN 仍由社区合作伙伴运营和维持,作为社区资源供居民、学校、研究人员和其他人使用,以帮助他们更好地了解和应对空气污染及其对社区健康的影响,同时增强社区应对、响应和从有害空气污染中恢复的能力。

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Paediatr Perinat Epidemiol. 2024 May;38(4):359-369. doi: 10.1111/ppe.13065. Epub 2024 Mar 7.
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The Role of Citizen Science in Promoting Health Equity.公民科学在促进健康公平中的作用。

本文引用的文献

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A Citizen Science and Government Collaboration: Developing Tools to Facilitate Community Air Monitoring.公民科学与政府合作:开发促进社区空气监测的工具。
Environ Justice. 2017;10(2). doi: 10.1089/env.2016.0044.
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Assessment of Respiratory Health Symptoms and Asthma in Children near a Drying Saline Lake.评估靠近盐沼湖的儿童的呼吸系统健康症状和哮喘。
Int J Environ Res Public Health. 2019 Oct 11;16(20):3828. doi: 10.3390/ijerph16203828.
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Next-Generation Community Air Quality Sensors for Identifying Air Pollution Episodes.用于识别空气污染事件的下一代社区空气质量传感器。
Annu Rev Public Health. 2022 Apr 5;43:215-234. doi: 10.1146/annurev-publhealth-090419-102856. Epub 2021 Nov 1.
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Performance of a Low-Cost Sensor Community Air Monitoring Network in Imperial County, CA.低成本传感器社区空气监测网络在加利福尼亚州帝王县的表现。
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Ambient air pollution and pregnancy outcomes: A comprehensive review and identification of environmental public health challenges.大气污染与妊娠结局:环境公共健康挑战的综合综述与识别。
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From Crowdsourcing to Extreme Citizen Science: Participatory Research for Environmental Health.从众包到极限公民科学:参与式环境健康研究。
Annu Rev Public Health. 2018 Apr 1;39:335-350. doi: 10.1146/annurev-publhealth-040617-013702.
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Using Geographic Information Science to Explore Associations between Air Pollution, Environmental Amenities, and Preterm Births.利用地理信息科学探索空气污染、环境便利设施与早产之间的关联。
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