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环境健康研究中实时移动感应的集成个体环境暴露评估系统。

An Integrated Individual Environmental Exposure Assessment System for Real-Time Mobile Sensing in Environmental Health Studies.

机构信息

Department of Geography, Geomatics and Environment, University of Toronto Mississauga, Mississauga, ON L5L 1C6, Canada.

Department of Geography and Planning, University of Toronto, Toronto, ON M5S 1A1, Canada.

出版信息

Sensors (Basel). 2021 Jun 11;21(12):4039. doi: 10.3390/s21124039.

DOI:10.3390/s21124039
PMID:34208244
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8230798/
Abstract

The effects of environmental exposure on human health have been widely explored by scholars in health geography for decades. However, recent advances in geospatial technologies, especially the development of mobile approaches to collecting real-time and high-resolution individual data, have enabled sophisticated methods for assessing people's environmental exposure. This study proposes an individual environmental exposure assessment system (IEEAS) that integrates objective real-time monitoring devices and subjective sensing tools to provide a composite way for individual-based environmental exposure data collection. With field test data collected in Chicago and Beijing, we illustrate and discuss the advantages of the proposed IEEAS and the composite analysis that could be applied. Data collected with the proposed IEEAS yield relatively accurate measurements of individual exposure in a composite way, and offer new opportunities for developing more sophisticated ways to measure individual environmental exposure. With the capability to consider both the variations in environmental risks and human mobility in high spatial and temporal resolutions, the IEEAS also helps mitigate some uncertainties in environmental exposure assessment and thus enables a better understanding of the relationship between individual environmental exposure and health outcomes.

摘要

几十年来,健康地理学领域的学者们广泛探讨了环境暴露对人类健康的影响。然而,近年来地理空间技术的进步,特别是实时、高分辨率个体数据采集移动方法的发展,为评估人们的环境暴露提供了复杂的方法。本研究提出了一个个体环境暴露评估系统(IEEAS),该系统集成了客观的实时监测设备和主观的传感工具,为基于个体的环境暴露数据采集提供了一种综合方式。通过在芝加哥和北京收集的现场测试数据,我们说明了并讨论了所提出的 IEEAS 的优点以及可以应用的综合分析。通过所提出的 IEEAS 收集的数据以综合方式得出了个体暴露的相对准确的测量值,并为开发更复杂的个体环境暴露测量方法提供了新的机会。由于能够考虑到环境风险和人类流动性在高时空分辨率上的变化,IEEAS 还有助于减轻环境暴露评估中的一些不确定性,从而更好地理解个体环境暴露与健康结果之间的关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a1c/8230798/1bf58ad11757/sensors-21-04039-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a1c/8230798/04597b772095/sensors-21-04039-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a1c/8230798/f6697cc0a414/sensors-21-04039-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a1c/8230798/b643a19f61a6/sensors-21-04039-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a1c/8230798/1bf58ad11757/sensors-21-04039-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a1c/8230798/04597b772095/sensors-21-04039-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a1c/8230798/f6697cc0a414/sensors-21-04039-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a1c/8230798/b643a19f61a6/sensors-21-04039-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a1c/8230798/1bf58ad11757/sensors-21-04039-g004.jpg

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Health Place. 2020 Jul;64:102285. doi: 10.1016/j.healthplace.2020.102285. Epub 2020 Aug 17.
2
Assessing personal noise exposure and its relationship with mental health in Beijing based on individuals' space-time behavior.基于个体时空行为评估北京的个人噪声暴露及其与心理健康的关系。
Environ Int. 2020 Jun;139:105737. doi: 10.1016/j.envint.2020.105737. Epub 2020 Apr 19.
3
在大巴黎地区使用等时替代模型评估时空行为与个人噪声暴露之间的关系。
J Expo Sci Environ Epidemiol. 2025 Mar 21. doi: 10.1038/s41370-025-00765-3.
4
Confounding associations between green space and outdoor artificial light at night: Systematic investigations and implications for urban health.绿地与夜间户外人造光之间的混杂关联:系统调查及对城市健康的影响
Environ Sci Ecotechnol. 2024 Jun 11;21:100436. doi: 10.1016/j.ese.2024.100436. eCollection 2024 Sep.
5
Mobility-oriented measurements of people's exposure to outdoor artificial light at night (ALAN) and the uncertain geographic context problem (UGCoP).面向移动性的人们夜间户外人工光暴露(ALAN)的测量和不确定的地理上下文问题(UGCoP)。
PLoS One. 2024 Apr 26;19(4):e0298869. doi: 10.1371/journal.pone.0298869. eCollection 2024.
6
Personal exposure monitoring using GPS-enabled portable air pollution sensors: A strategy to promote citizen awareness and behavioral changes regarding indoor and outdoor air pollution.利用 GPS 功能的便携式空气污染传感器进行个人暴露监测:促进市民对室内外空气污染的认识和行为改变的策略。
J Expo Sci Environ Epidemiol. 2023 May;33(3):347-357. doi: 10.1038/s41370-022-00515-9. Epub 2022 Dec 14.
7
Measuring Environmental Justice in Real Time: A Pilot Study Using Digital Participatory Method in the Global South, Nepal.实时衡量环境正义:使用数字参与方法在全球南方尼泊尔进行的试点研究。
Int J Environ Res Public Health. 2022 Apr 14;19(8):4752. doi: 10.3390/ijerph19084752.
8
Field Evaluation and Calibration of Low-Cost Air Pollution Sensors for Environmental Exposure Research.用于环境暴露研究的低成本空气污染传感器的现场评估和校准。
Sensors (Basel). 2022 Mar 19;22(6):2381. doi: 10.3390/s22062381.
Who Could Not Avoid Exposure to High Levels of Residence-Based Pollution by Daily Mobility? Evidence of Air Pollution Exposure from the Perspective of the Neighborhood Effect Averaging Problem (NEAP).
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Int J Environ Res Public Health. 2020 Feb 14;17(4):1223. doi: 10.3390/ijerph17041223.
4
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5
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Int J Environ Res Public Health. 2018 Dec 30;16(1):89. doi: 10.3390/ijerph16010089.
6
An Analytical Framework for Integrating the Spatiotemporal Dynamics of Environmental Context and Individual Mobility in Exposure Assessment: A Study on the Relationship between Food Environment Exposures and Body Weight.环境上下文和个体移动性时空动态整合的分析框架在暴露评估中的应用:食品环境暴露与体重关系的研究。
Int J Environ Res Public Health. 2018 Sep 15;15(9):2022. doi: 10.3390/ijerph15092022.
7
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8
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Int J Environ Res Public Health. 2018 Apr 9;15(4):703. doi: 10.3390/ijerph15040703.
9
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10
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Sensors (Basel). 2017 Aug 5;17(8):1805. doi: 10.3390/s17081805.