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Using low-cost sensor technologies and advanced computational methods to improve dose estimations in health panel studies: results of the AIRLESS project

Lia Chatzidiakou, Anika Krause, Yiqun Han, Wu Chen, Li Yan, Olalekan Popoola, Mike Kellaway, Yangfeng Wu, Jing Liu, Min Hu, AIRLESS team, Benjamin Barratt, Yutong Cai, Queenie Chan, Lia Chatzidiakou, Shiyi Chen, Wu Chen, Xi Chen, Paul Elliott, Majid Ezzati, Yunfei Fan, Xueyu Han, Min Hu, Aoming Jin, R. L. Jones, Frank J. Kelly, Anika Krause, Yingruo Li, Pengfei Liang, Jing Liu, Yan Luo, Xinghua Qiu, Qi Wang, Teng Wang, Yanwen Wang, Yangfeng Wu, Gaoqiang Xie, Wuxiang Xie, Tao Xue, Li Yan, Hanbin Zhang, Junfeng Zhang, Meiping Zhao, Tong Zhu, Yidan Zhu, Benjamin Barratt, Frank J. Kelly, Tong Zhu, R. L. Jones

2020Journal of Exposure Science & Environmental Epidemiology37 citationsDOIOpen Access PDF

Topics & Concepts

BeijingAir quality indexEnvironmental scienceAir pollutionPollutantAir pollutantsParticulatesConfoundingPollutionComputer scienceEnvironmental healthMeteorologyStatisticsGeographyMedicineOrganic chemistryBiologyMathematicsEcologyChemistryArchaeologyChinaAir Quality and Health ImpactsAir Quality Monitoring and ForecastingHealth, Environment, Cognitive Aging
Using low-cost sensor technologies and advanced computational methods to improve dose estimations in health panel studies: results of the AIRLESS project | Litcius