Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Popoola, Olalekan AM"'
Autor:
Chatzidiakou, Lia, Krause, Anika, Han, Yiqun, Chen, Wu, Yan, Li, Popoola, Olalekan AM, Kellaway, Mike, Wu, Yangfeng, Liu, Jing, Hu, Min, AIRLESS Team, Barratt, Ben, Kelly, Frank J, Zhu, Tong, Jones, Roderic L
BACKGROUND: Air pollution epidemiology has primarily relied on fixed outdoor air quality monitoring networks and static populations. METHODS: Taking advantage of recent advancements in sensor technologies and computational techniques, this paper pres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b4e347f1b7e78842755b7e7a68699c3
https://www.repository.cam.ac.uk/handle/1810/307480
https://www.repository.cam.ac.uk/handle/1810/307480
Autor:
Chatzidiakou, Lia, Krause, Anika, Popoola, Olalekan AM, Di Antonio, Andrea, Kellaway, Mike, Han, Yiqun, Squires, Freya A, Wang, Teng, Zhang, Hanbin, Wang, Qi, Fan, Yunfei, Chen, Shiyi, Hu, Min, Quint, Jennifer K, Barratt, Benjamin, Kelly, Frank J, Zhu, Tong, Jones, Roderic L
The inaccurate quantification of personal exposure to air pollution introduces error and bias in health estimations, severely limiting causal inference in epidemiological research worldwide. Rapid advancements in affordable, miniaturised air pollutio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb9b601f26b89f680b8fbd77b6d3f9a3
Publikováno v:
Sensors, Vol 18, Iss 9, p 2790 (2018)
Sensors (Basel, Switzerland)
Sensors
Volume 18
Issue 9
Sensors (Basel, Switzerland)
Sensors
Volume 18
Issue 9
There is increasing concern about the health impacts of ambient Particulate Matter (PM) exposure. Traditional monitoring networks, because of their sparseness, cannot provide sufficient spatial-temporal measurements characteristic of ambient PM. Rece