{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T02:23:02Z","timestamp":1774405382139,"version":"3.50.1"},"reference-count":92,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2020,9,18]],"date-time":"2020-09-18T00:00:00Z","timestamp":1600387200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003654","name":"Korea Environmental Industry and Technology Institute","doi-asserted-by":"publisher","award":["2018001350001"],"award-info":[{"award-number":["2018001350001"]}],"id":[{"id":"10.13039\/501100003654","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Toxics"],"abstract":"<jats:p>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\u2013activity 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.<\/jats:p>","DOI":"10.3390\/toxics8030074","type":"journal-article","created":{"date-parts":[[2020,9,18]],"date-time":"2020-09-18T10:22:23Z","timestamp":1600424543000},"page":"74","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Environmental Health Surveillance System for a Population Using Advanced Exposure Assessment"],"prefix":"10.3390","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2776-5989","authenticated-orcid":false,"given":"Wonho","family":"Yang","sequence":"first","affiliation":[{"name":"Department of Occupational Health, Daegu Catholic University, Gyeongsan-si, Gyeongbuk 38430, Korea"},{"name":"Center of Environmental Health Monitoring, Daegu Catholic University, Gyeongsan-si, Gyeongbuk 38430, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9181-6739","authenticated-orcid":false,"given":"Jinhyeon","family":"Park","sequence":"additional","affiliation":[{"name":"Center of Environmental Health Monitoring, Daegu Catholic University, Gyeongsan-si, Gyeongbuk 38430, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mansu","family":"Cho","sequence":"additional","affiliation":[{"name":"Department of Occupational Health, Daegu Catholic University, Gyeongsan-si, Gyeongbuk 38430, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cheolmin","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Nano and Biological Engineering, Seo Kyeong University, Seoul 02713, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jeongil","family":"Lee","sequence":"additional","affiliation":[{"name":"Korea Testing and Research Institute, Gwacheon-si, Gyeonggi-do 13810, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chaekwan","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Occupational and Environmental Medicine, Busan Paik Hospital and Institute of Environmental and Occupational Medicine, Inje University, Busan 47392, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,9,18]]},"reference":[{"key":"ref_1","unstructured":"World Health Organization (2020, July 31). Global Urban Ambient Air Pollution Database. Available online: http:\/\/www.who.int\/phe\/health_topics\/outdoorair\/databases\/cities\/en\/."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Cincinelli, A., and Martellini, T. (2017). Indoor air quality and health. Int. J. Environ. Res. Public Health, 14.","DOI":"10.3390\/ijerph14111286"},{"key":"ref_3","first-page":"709","article-title":"Health effects of fine particulate air pollution: lines and connect. Lung cancer, cardiopulmonary mortality, and long-term exposure to fine particulate air pollution","volume":"56","author":"Pope","year":"2006","journal-title":"J. Am. Med. Assoc."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Donzelli, G., Llopis-Gonzalez, A., Llopis-Morales, A., Cioni, L., and Morales-Su\u00e1rez-varela, M. (2020). Particulate matter exposure and attention-deficit\/hyperactivity disorder in children: A systematic review of epidemiological studies. Int. J. Environ. Res. Public Health, 17.","DOI":"10.3390\/ijerph17010067"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1016\/j.envint.2014.10.005","article-title":"A review on the human health impact of airborne particulate matter","volume":"74","author":"Kim","year":"2015","journal-title":"Environ. Int."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"3079","DOI":"10.2147\/COPD.S122282","article-title":"Major air pollutants and risk of COPD exacerbations: A systematic review and meta-analysis","volume":"11","author":"Li","year":"2016","journal-title":"Int. J. COPD"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"376","DOI":"10.1016\/j.atmosenv.2014.09.017","article-title":"Air quality status and trends in Europe","volume":"98","author":"Guerreiro","year":"2014","journal-title":"Atmos. Environ."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1132","DOI":"10.1001\/jama.287.9.1132","article-title":"Lung cancer, cardiopulmonary mortality, and long-term exposure to fine particulate air pollution","volume":"287","author":"Pope","year":"2002","journal-title":"J. Am. Med. Assoc."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1075","DOI":"10.5194\/gmd-13-1075-2020","article-title":"EXPLUME v1.0: A model for personal exposure to ambient O3 and PM2.5","volume":"13","author":"Valari","year":"2020","journal-title":"Geosci. Model Dev."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"807","DOI":"10.1016\/j.scitotenv.2018.01.139","article-title":"Modeling individual exposures to ambient PM2.5 in the diabetes and the environment panel study (DEPS)","volume":"626","author":"Breen","year":"2018","journal-title":"Sci. Total Environ."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1016\/j.envint.2014.11.019","article-title":"The rise of low-cost sensing for managing air pollution in cities","volume":"75","author":"Kumar","year":"2015","journal-title":"Environ. Int."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1080\/10962247.2016.1242518","article-title":"Evaluating the effectiveness of air quality regulations: A review of accountability studies and frameworks","volume":"67","author":"Henneman","year":"2017","journal-title":"J. Air Waste Manag. Assoc."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"654","DOI":"10.1038\/jes.2013.62","article-title":"Exposure prediction approaches used in air pollution epidemiology studies: Key findings and future recommendations","volume":"23","author":"Baxter","year":"2013","journal-title":"J. Expo. Sci. Environ. Epidemiol."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1016\/j.envint.2016.12.007","article-title":"Can commercial low-cost sensor platforms contribute to air quality monitoring and exposure estimates?","volume":"99","author":"Castell","year":"2017","journal-title":"Environ. Int."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Tagle, M., Rojas, F., Reyes, F., V\u00e1squez, Y., Hallgren, F., Lind\u00e9n, J., Kolev, D., Watne, \u00c5.K., and Oyola, P. (2020). Field performance of a low-cost sensor in the monitoring of particulate matter in Santiago, Chile. Environ. Monit. Assess., 192.","DOI":"10.1007\/s10661-020-8118-4"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s12199-018-0741-0","article-title":"Preliminary monitoring of concentration of particulate matter (PM2.5) in seven townships of Yangon City, Myanmar","volume":"23","author":"Yi","year":"2018","journal-title":"Environ. Health Prev. Med."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"356","DOI":"10.1038\/jes.2014.78","article-title":"Using smartphones to collect time-activity data for long-term personal-level air pollution exposure assessment","volume":"26","author":"Glasgow","year":"2016","journal-title":"J. Expo. Sci. Environ. Epidemiol."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1409","DOI":"10.1289\/ehp.7144","article-title":"National environmental public health tracking program: Bridging the information gap","volume":"112","author":"McGeehin","year":"2004","journal-title":"Environ. Health Perspect."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1186\/s13690-018-0272-6","article-title":"Environmental health surveillance in a future European health information system","volume":"76","author":"Joas","year":"2018","journal-title":"Arch. Public Health"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Karagulian, F., Barbiere, M., Kotsev, A., Spinelle, L., Gerboles, M., Lagler, F., Redon, N., Crunaire, S., and Borowiak, A. (2019). Review of the performance of low-cost sensors for air quality monitoring. Atmosphere, 10.","DOI":"10.3390\/atmos10090506"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1081","DOI":"10.1289\/ehp.0901634","article-title":"Exposure science: A view of the past and milestones for the future","volume":"118","author":"Lioy","year":"2010","journal-title":"Environ. Health Perspect."},{"key":"ref_22","unstructured":"Washington State Department of Ecology (2020, July 31). Air Monitoring Site Selection and Installation Procedure, Available online: https:\/\/fortress.wa.gov\/ecy\/publications\/summarypages\/1602021.html."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"238","DOI":"10.1038\/s41370-018-0038-9","article-title":"Quantifying population exposure to air pollution using individual mobility patterns inferred from mobile phone data","volume":"29","author":"Nyhan","year":"2018","journal-title":"J. Expo. Sci. Environ. Epidemiol."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"518","DOI":"10.1016\/j.scitotenv.2014.11.022","article-title":"Integrating smart-phone based momentary location tracking with fixed site air quality monitoring for personal exposure assessment","volume":"506\u2013507","author":"Su","year":"2015","journal-title":"Sci. Total Environ."},{"key":"ref_25","first-page":"4","article-title":"Data Mining Techniques for Big Data, Vol. 6, Special Issue","volume":"6","author":"Unnisabegum","year":"2019","journal-title":"Int. J. Adv. Res. Sci. Eng. Technol."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"11369","DOI":"10.1021\/es4022602","article-title":"The changing paradigm of air pollution monitoring","volume":"47","author":"Snyder","year":"2013","journal-title":"Environ. Sci. Technol."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41467-019-09155-4","article-title":"Advancing environmental exposure assessment science to benefit society","volume":"10","author":"Caplin","year":"2019","journal-title":"Nat. Commun."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/j.dcan.2019.03.003","article-title":"Real-time air pollution monitoring with sensors on city bus","volume":"6","author":"Kaivonen","year":"2019","journal-title":"Digit. Commun. Netw."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Ta\u015ftan, M., and G\u00f6kozan, H. (2019). Real-time monitoring of indoor air quality with internet of things-based e-nose. Appl. Sci., 9.","DOI":"10.3390\/app9163435"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"469","DOI":"10.1146\/annurev.fluid.35.101101.161147","article-title":"Flow and dispersion in urban areas","volume":"35","author":"Britter","year":"2003","journal-title":"Annu. Rev. Fluid Mech."},{"key":"ref_31","first-page":"1","article-title":"Population based Air Pollution Exposure and its influence factors by Integrating Air Dispersion Modeling with GIS Spatial Analysis","volume":"10","author":"Dong","year":"2020","journal-title":"Sci. Rep."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Zhang, A., Qi, Q., Jiang, L., Zhou, F., and Wang, J. (2013). Population Exposure to PM2.5 in the Urban Area of Beijing. PLoS ONE, 8.","DOI":"10.1371\/journal.pone.0063486"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"138385","DOI":"10.1016\/j.scitotenv.2020.138385","article-title":"Development of low-cost indoor air quality monitoring devices: Recent advancements","volume":"727","author":"Chojer","year":"2020","journal-title":"Sci. Total Environ."},{"key":"ref_34","unstructured":"United States Environmental Protection Agency (2020, July 30). Air Sensor Guidebook, Available online: https:\/\/cfpub.epa.gov\/si\/si_public_file_download.cfm?p_download_id=519616."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"105305","DOI":"10.1016\/j.envint.2019.105305","article-title":"The improvement of spatial-temporal resolution of PM2.5 estimation based on micro-air quality sensors by using data fusion technique","volume":"134","author":"Lin","year":"2020","journal-title":"Environ. Int."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"164","DOI":"10.4236\/jcc.2015.35021","article-title":"Internet of Things (IoT): A Literature Review","volume":"3","author":"Madakam","year":"2015","journal-title":"J. Comput. Commun."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1109\/JIOT.2014.2306328","article-title":"Internet of things for smart cities","volume":"1","author":"Zanella","year":"2014","journal-title":"IEEE Internet Things J."},{"key":"ref_38","first-page":"89","article-title":"A Survey on Applications of Internet of Things in Healthcare","volume":"180","author":"Khatoon","year":"2020","journal-title":"Intell. Syst. Ref. Libr."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"286","DOI":"10.1016\/j.envint.2018.04.018","article-title":"Applications of low-cost sensing technologies for air quality monitoring and exposure assessment: How far have they gone?","volume":"116","author":"Morawska","year":"2018","journal-title":"Environ. Int."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Arano, K.A.G., Sun, S., Ordieres-Mere, J., and Gong, B. (2019). The use of the internet of things for estimating personal pollution exposure. Int. J. Environ. Res. Public Health, 16.","DOI":"10.3390\/ijerph16173130"},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Dias, D., and Tchepel, O. (2018). Spatial and temporal dynamics in air pollution exposure assessment. Int. J. Environ. Res. Public Health, 15.","DOI":"10.3390\/ijerph15030558"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1038\/sj.jea.7500165","article-title":"The National Human Activity Pattern Survey (NHAPS): A resource for assessing exposure to environmental pollutants","volume":"11","author":"Klepeis","year":"2001","journal-title":"J. Expo. Anal. Environ. Epidemiol."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"310","DOI":"10.1038\/jes.2010.23","article-title":"Determinants of residential indoor and transportation activity times in Korea","volume":"21","author":"Yang","year":"2011","journal-title":"J. Expo. Sci. Environ. Epidemiol."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Yoon, H., Yoo, S.K., Seo, J., Kim, T., Kim, P., Kim, P.J., Park, J., Heo, J., and Yang, W. (2020). Development of General Exposure Factors for Risk Assessment in Korean Children. Int. J. Environ. Res. Public Health, 17.","DOI":"10.3390\/ijerph17061988"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"105748","DOI":"10.1016\/j.envint.2020.105748","article-title":"Exposure to indoor air pollution across socio-economic groups in high-income countries: A scoping review of the literature and a modelling methodology","volume":"143","author":"Ferguson","year":"2020","journal-title":"Environ. Int."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3390\/app9183918","article-title":"Combined model for IAQ assessment: Part 1- morphology of the model and selection of substantial air quality impact sub-models","volume":"9","author":"Piasecki","year":"2019","journal-title":"Appl. Sci."},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Bo, M., Salizzoni, P., Clerico, M., and Buccolieri, R. (2017). Assessment of indoor-outdoor particulate matter air pollution: A review. Atmosphere, 8.","DOI":"10.3390\/atmos8080136"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1016\/j.buildenv.2015.04.006","article-title":"Contribution of outdoor-originating particles, indoor-emitted particles and indoor secondary organic aerosol (SOA) to residential indoor PM2.5 concentration: A model-based estimation","volume":"90","author":"Ji","year":"2015","journal-title":"Build. Environ."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"839","DOI":"10.1016\/j.envpol.2018.05.030","article-title":"Using big data from air quality monitors to evaluate indoor PM2.5 exposure in buildings: Case study in Beijing","volume":"240","author":"Zuo","year":"2018","journal-title":"Environ. Pollut."},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Mannucci, P.M., and Franchini, M. (2017). Health effects of ambient air pollution in developing countries. Int. J. Environ. Res. Public Health, 14.","DOI":"10.3390\/ijerph14091048"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"1113","DOI":"10.1080\/10962247.2013.791649","article-title":"Estimating the concentration of indoor particles of outdoor origin: A review","volume":"63","author":"Diapouli","year":"2013","journal-title":"J. Air Waste Manag. Assoc."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"704","DOI":"10.1111\/ina.12580","article-title":"Machine learning and statistical models for predicting indoor air quality","volume":"29","author":"Wei","year":"2019","journal-title":"Indoor Air"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"275","DOI":"10.1016\/j.atmosenv.2010.09.048","article-title":"Review of relationship between indoor and outdoor particles: I\/O ratio, infiltration factor and penetration factor","volume":"45","author":"Chen","year":"2011","journal-title":"Atmos. Environ."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1016\/j.medengphy.2011.10.011","article-title":"Wireless sensor networks for indoor air quality monitoring","volume":"35","author":"Yu","year":"2013","journal-title":"Med. Eng. Phys."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"855","DOI":"10.1111\/j.1541-0420.2006.00526.x","article-title":"Spatial association between speciated fine particles and mortality","volume":"62","author":"Fuentes","year":"2006","journal-title":"Biometrics"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"649","DOI":"10.1289\/ehp.8422","article-title":"Factors affecting the association between ambient concentrations and personal exposures to particles and gases","volume":"114","author":"Sarnat","year":"2006","journal-title":"Environ. Health Perspect."},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Johnson, T.R., Langstaff, J.E., Graham, S., Fujita, E.M., and Campbell, D.E. (2018). A multipollutant evaluation of APEX using microenvironmental ozone, carbon monoxide, and particulate matter (PM2.5) concentrations measured in Los Angeles by the exposure classification project. Cogent Environ. Sci., 4.","DOI":"10.1080\/23311843.2018.1453022"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1038\/sj.jea.7500258","article-title":"Description and demonstration of the EXPOLIS simulation model: Two examples of modeling population exposure to particulate matter","volume":"13","author":"Kruize","year":"2003","journal-title":"J. Expo. Anal. Environ. Epidemiol."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"278","DOI":"10.1038\/s41370-018-0058-5","article-title":"Population dynamics based on mobile phone data to improve air pollution exposure assessments","volume":"29","author":"Picornell","year":"2019","journal-title":"J. Expo. Sci. Environ. Epidemiol."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"184","DOI":"10.1016\/j.scitotenv.2012.10.098","article-title":"Quantifying human exposure to air pollution-Moving from static monitoring to spatio-temporally resolved personal exposure assessment","volume":"443","author":"Steinle","year":"2013","journal-title":"Sci. Total Environ."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"238","DOI":"10.1016\/j.envsoft.2015.06.003","article-title":"Integrating modelling and smart sensors for environmental and human health","volume":"74","author":"Reis","year":"2015","journal-title":"Environ. Model. Softw."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1016\/j.envpol.2012.12.032","article-title":"Improving estimates of air pollution exposure through ubiquitous sensing technologies","volume":"176","author":"Seto","year":"2013","journal-title":"Environ. Pollut."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"412","DOI":"10.1038\/jes.2014.13","article-title":"GPS-based microenvironment tracker (MicroTrac) model to estimate time-location of individuals for air pollution exposure assessments: Model evaluation in central North Carolina","volume":"24","author":"Breen","year":"2014","journal-title":"J. Expo. Sci. Environ. Epidemiol."},{"key":"ref_64","first-page":"1","article-title":"Strategies and limitations in app usage and human mobility","volume":"9","author":"Cardoso","year":"2019","journal-title":"Sci. Rep."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"9671","DOI":"10.1021\/acs.est.6b02385","article-title":"\u201cexposure track\u201d\u2014The impact of mobile-device-based mobility patterns on quantifying population exposure to air pollution","volume":"50","author":"Nyhan","year":"2016","journal-title":"Environ. Sci. Technol."},{"key":"ref_66","first-page":"177","article-title":"Air pollution prediction through internet of things technology and big data analytics","volume":"8","author":"Alaoui","year":"2019","journal-title":"Int. J. Comput. Intell. Stud."},{"key":"ref_67","doi-asserted-by":"crossref","unstructured":"Yarza, S., Hassan, L., Shtein, A., Lesser, D., Novack, L., Katra, I., Kloog, I., and Novack, V. (2020). Novel approaches to air pollution exposure and clinical outcomes assessment in environmental health studies. Atmosphere, 11.","DOI":"10.3390\/atmos11020122"},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"8","DOI":"10.18178\/ijesd.2018.9.1.1066","article-title":"Air Quality Prediction: Big Data and Machine Learning Approaches","volume":"9","author":"Kang","year":"2018","journal-title":"Int. J. Environ. Sci. Dev."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"138178","DOI":"10.1016\/j.scitotenv.2020.138178","article-title":"A deep learning and image-based model for air quality estimation","volume":"724","author":"Zhang","year":"2020","journal-title":"Sci. Total Environ."},{"key":"ref_70","doi-asserted-by":"crossref","unstructured":"Bai, L., Wang, J., Ma, X., and Lu, H. (2018). Air pollution forecasts: An overview. Int. J. Environ. Res. Public Health, 15.","DOI":"10.3390\/ijerph15040780"},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1016\/j.envsoft.2013.12.008","article-title":"Spatial interpolation methods applied in the environmental sciences: A review","volume":"53","author":"Li","year":"2014","journal-title":"Environ. Model. Softw."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"2185","DOI":"10.1080\/19475705.2019.1683084","article-title":"Air quality index prediction using IDW geostatistical technique and OLS-based GIS technique in Kuala Lumpur, Malaysia","volume":"10","author":"Jumaah","year":"2019","journal-title":"Geomat. Nat. Hazards Risk"},{"key":"ref_73","doi-asserted-by":"crossref","unstructured":"Shen, H., Zhou, M., Li, T., and Zeng, C. (2019). Integration of remote sensing and social sensing data in a deep learning framework for hourly urban PM2.5 mapping. Int. J. Environ. Res. Public Health, 16.","DOI":"10.3390\/ijerph16214102"},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1016\/j.scitotenv.2009.09.048","article-title":"A GIS-based method for modelling air pollution exposures across Europe","volume":"408","author":"Vienneau","year":"2009","journal-title":"Sci. Total Environ."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.atmosenv.2019.117130","article-title":"A comparison of statistical and machine learning methods for creating national daily maps of ambient PM2.5 concentration","volume":"222","author":"Berrocal","year":"2020","journal-title":"Atmos. Environ."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"923","DOI":"10.1016\/S0045-6535(02)00237-0","article-title":"Chapter three: Methodology of exposure modeling","volume":"49","author":"Moschandreas","year":"2002","journal-title":"Chemosphere"},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"383","DOI":"10.1093\/oxfordjournals.aje.a117261","article-title":"Future directions for comprehensive public health surveillance and health information systems in the United States","volume":"140","author":"Thacker","year":"1994","journal-title":"Am. J. Epidemiol."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"633","DOI":"10.2105\/AJPH.86.5.633","article-title":"Surveillance in environmental public health: Issues, systems, and sources","volume":"86","author":"Thacker","year":"1996","journal-title":"Am. J. Public Health"},{"key":"ref_79","unstructured":"Center for Disease Control and Prevention (2020, July 31). Tracking Network Implementation Plan, Available online: https:\/\/www.cdc.gov\/nceh\/tracking\/pdfs\/TNIP_V1.pdf."},{"key":"ref_80","doi-asserted-by":"crossref","unstructured":"Owodunni, T., Close, R., Muhammad, U., Loon, B., Behbod, B., Crabbe, H., Meara, J., Oliver, I., Kamanyire, R., and Verne, J. (2016). Developing an Environmental Public Health Surveillance System for England, International Society for Environmental Epidemiology (ISEE).","DOI":"10.1289\/isee.2016.4673"},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/j.envpol.2007.07.030","article-title":"Assessment of population exposure to particulate matter pollution in Chongqing, China","volume":"153","author":"Wang","year":"2008","journal-title":"Environ. Pollut."},{"key":"ref_82","doi-asserted-by":"crossref","unstructured":"Xie, X., Semanjski, I., Gautama, S., Tsiligianni, E., Deligiannis, N., Rajan, R.T., Pasveer, F., and Philips, W. (2017). A review of urban air pollution monitoring and exposure assessment methods. ISPRS Int. J. Geo-Inf., 6.","DOI":"10.3390\/ijgi6120389"},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"138102","DOI":"10.1016\/j.scitotenv.2020.138102","article-title":"A multi-city air pollution population exposure study: Combined use of chemical-transport and random-Forest models with dynamic population data","volume":"724","author":"Gariazzo","year":"2020","journal-title":"Sci. Total Environ."},{"key":"ref_84","first-page":"37","article-title":"Environmental Public Health Tracking\/Surveillance in Canada: A commentary","volume":"4","author":"Abelsohn","year":"2009","journal-title":"Healthc. Policy"},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"1440","DOI":"10.1289\/ehp.7145","article-title":"Statistical methods for linking health, exposure, and hazards","volume":"112","author":"Mather","year":"2004","journal-title":"Environ. Health Perspect."},{"key":"ref_86","doi-asserted-by":"crossref","unstructured":"Liew, Z., Von Ehrenstein, O.S., Ling, C., Yuan, Y., Meng, Q., Cui, X., Park, A.S., Uldall, P., Olsen, J., and Cockburn, M. (2020). Ambient Exposure to Agricultural Pesticides during Pregnancy and Risk of Cerebral Palsy: A Population-Based Study in California. Toxics, 8.","DOI":"10.3390\/toxics8030052"},{"key":"ref_87","doi-asserted-by":"crossref","unstructured":"Seto, E., Carvlin, G., Austin, E., Shirai, J., Bejarano, E., Lugo, H., Olmedo, L., Calderas, A., Jerrett, M., and King, G. (2019). Next-generation community air quality sensors for identifying air pollution episodes. Int. J. Environ. Res. Public Health, 16.","DOI":"10.3390\/ijerph16183268"},{"key":"ref_88","unstructured":"World Health Organization (2020, July 31). Guidelines for Indoor Air Quality. Available online: https:\/\/www.euro.who.int\/document\/e94535.pdf."},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3389\/fpubh.2020.00014","article-title":"Environmental and Health Impacts of Air Pollution: A Review","volume":"8","author":"Manisalidis","year":"2020","journal-title":"Front. Public Health"},{"key":"ref_90","doi-asserted-by":"crossref","unstructured":"Koo, B., Na, J.I., Thorsteinsson, T., and Cruz, A.M. (2020). Participatory approach to gap analysis between policy and practice regarding air pollution in ger areas of Ulaanbaatar, Mongolia. Sustainability, 12.","DOI":"10.3390\/su12083309"},{"key":"ref_91","doi-asserted-by":"crossref","unstructured":"Part, J., Ryu, H., Kim, E., Choe, Y., Heo, J., Lee, J., Cho, S.H., Sung, K., Cho, M., and Yang, W. (2020). Ass Assessment of PM2.5 population exposure of a community using sensor-based air monitoring instruments and similar time-activity groups. Atmos. Pollut. Res.","DOI":"10.1016\/j.apr.2020.08.010"},{"key":"ref_92","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s12942-016-0042-z","article-title":"Dynamic assessment of exposure to air pollution using mobile phone data","volume":"15","author":"Dewulf","year":"2016","journal-title":"Int. J. Health Geogr."}],"container-title":["Toxics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2305-6304\/8\/3\/74\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T10:11:20Z","timestamp":1760177480000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2305-6304\/8\/3\/74"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,18]]},"references-count":92,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2020,9]]}},"alternative-id":["toxics8030074"],"URL":"https:\/\/doi.org\/10.3390\/toxics8030074","relation":{},"ISSN":["2305-6304"],"issn-type":[{"value":"2305-6304","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,9,18]]}}}