Caveats for Causal Interpretations of Linear Regression Coefficients for Fine Particulate (PM2.5) Air Pollution Health Effects

Risk Analysis ◽  
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pp. 2111-2125 ◽  
Author(s):  
Louis Anthony Tony Cox
BMJ ◽  
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Donna E Davies ◽  
Stephen T Holgate

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pp. 1580-1589 ◽  
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Scott Weichenthal ◽  
Jane A. Hoppin ◽  
Francois Reeves

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Vol 13 (3) ◽  
pp. 705-715 ◽  
Author(s):  
Marko Tainio ◽  
Katarzyna Juda-Rezler ◽  
Magdalena Reizer ◽  
Aleksander Warchałowski ◽  
Wojciech Trapp ◽  
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2006 ◽  
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pp. 1368-1380 ◽  
Author(s):  
Judith C. Chow ◽  
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Daniel L. Costa ◽  
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Vol 68 (4) ◽  
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Hai-Ying Liu ◽  
Daniel Dunea ◽  
Mihaela Oprea ◽  
Tom Savu ◽  
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This paper presents the approach used to develop the information chain required to reach the objectives of the EEA Grants� RokidAIR project in two Romanian cities i.e., Targoviste and Ploiesti. It describes the PM2.5 monitoring infrastructure and architecture to the web-based GIS platform, the early warning system and the decision support system, and finally, the linking of air pollution to health effects in children. In addition, it shows the analysis performance of the designed system to process the collected time series from various data sources using the benzene concentrations monitored in Ploiesti. Moreover, this paper suggests that biomarkers, mobile technologies, and Citizens� Observatories are potential perspectives to improve data coverage by the provision of near-real-time air quality maps, and provide personal exposure and health assessment results, enabling the citizens� engagement and behavioural change. This paper also addresses new fields in nature-based solutions to improve air quality, and studies on air pollution and its mental health effects in the urban areas of Romania.


2021 ◽  
Vol 150 ◽  
pp. 106424 ◽  
Author(s):  
Juma Orach ◽  
Christopher F. Rider ◽  
Christopher Carlsten
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