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Environmental Health Surveillance System for a Population Using Advanced Exposure Assessment

1
Department of Occupational Health, Daegu Catholic University, Gyeongsan-si, Gyeongbuk 38430, Korea
2
Center of Environmental Health Monitoring, Daegu Catholic University, Gyeongsan-si, Gyeongbuk 38430, Korea
3
Department of Nano and Biological Engineering, Seo Kyeong University, Seoul 02713, Korea
4
Korea Testing and Research Institute, Gwacheon-si, Gyeonggi-do 13810, Korea
5
Department of Occupational and Environmental Medicine, Busan Paik Hospital and Institute of Environmental and Occupational Medicine, Inje University, Busan 47392, Korea
*
Author to whom correspondence should be addressed.
Toxics 2020, 8(3), 74; https://doi.org/10.3390/toxics8030074
Received: 23 August 2020 / Revised: 12 September 2020 / Accepted: 17 September 2020 / Published: 18 September 2020
(This article belongs to the Section Experimental Toxicology)
Human exposure to air pollution is a major public health concern. Environmental policymakers have been implementing various strategies to reduce exposure, including the 10th-day-no-driving system. To assess exposure of an entire population of a community in a highly polluted area, pollutant concentrations in microenvironments and population time–activity patterns are required. To date, population exposure to air pollutants has been assessed using air monitoring data from fixed atmospheric monitoring stations, atmospheric dispersion modeling, or spatial interpolation techniques for pollutant concentrations. This is coupled with census data, administrative registers, and data on the patterns of the time-based activities at the individual scale. Recent technologies such as sensors, the Internet of Things (IoT), communications technology, and artificial intelligence enable the accurate evaluation of air pollution exposure for a population in an environmental health context. In this study, the latest trends in published papers on the assessment of population exposure to air pollution were reviewed. Subsequently, this study proposes a methodology that will enable policymakers to develop an environmental health surveillance system that evaluates the distribution of air pollution exposure for a population within a target area and establish countermeasures based on advanced exposure assessment. View Full-Text
Keywords: air pollution; exposure assessment; population exposure; environmental health surveillance system air pollution; exposure assessment; population exposure; environmental health surveillance system
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MDPI and ACS Style

Yang, W.; Park, J.; Cho, M.; Lee, C.; Lee, J.; Lee, C. Environmental Health Surveillance System for a Population Using Advanced Exposure Assessment. Toxics 2020, 8, 74.

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