A spatiotemporal land-use-regression model to assess individual level long-term exposure to ambient fine particulate matters

We aimed to establish a spatiotemporal land-use-regression (ST-LUR) model assessing individual level long-term exposure to fine particulate matters (PM(2.5)) among 6627 adults enrolled in Guangdong province, China from 2015 to 2016. We collected weekly average PM(2.5) concentration (from the air qua...

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Detalles Bibliográficos
Autores principales: Liu, Tao, Xiao, Jianpeng, Zeng, Weilin, Hu, Jianxiong, Liu, Xin, Dong, Moran, Wang, Jiaqi, Wan, Donghua, Ma, Wenjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Environmental Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6812337/
https://www.ncbi.nlm.nih.gov/pubmed/31667108
http://dx.doi.org/10.1016/j.mex.2019.09.009

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6812337/
https://www.ncbi.nlm.nih.gov/pubmed/31667108
http://dx.doi.org/10.1016/j.mex.2019.09.009

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