Estimation of PM2·5-associated disease burden in China in 2020 and 2030 using population and air quality scenarios: a modelling study

Qing Wang, Jiaonan Wang, Jinhui Zhou, Jie Ban, Tiantian Li

Open source

DOI
10.1016/s2542-5196(18)30277-8
Published
2019-02
Container
The Lancet Planetary Health
Publisher
Elsevier BV
Open access
unknown

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BibTeX

@article{allodium:10.1016/s2542-5196-18-30277-8,
  title = {Estimation of PM2·5-associated disease burden in China in 2020 and 2030 using population and air quality scenarios: a modelling study},
  author = {Qing Wang and Jiaonan Wang and Jinhui Zhou and Jie Ban and Tiantian Li},
  year = {2019},
  journal = {The Lancet Planetary Health},
  doi = {10.1016/s2542-5196(18)30277-8},
  url = {https://doi.org/10.1016/s2542-5196(18)30277-8}
}

RIS

TY  - JOUR
TI  - Estimation of PM2·5-associated disease burden in China in 2020 and 2030 using population and air quality scenarios: a modelling study
AU  - Qing Wang
AU  - Jiaonan Wang
AU  - Jinhui Zhou
AU  - Jie Ban
AU  - Tiantian Li
PY  - 2019
JO  - The Lancet Planetary Health
DO  - 10.1016/s2542-5196(18)30277-8
UR  - https://doi.org/10.1016/s2542-5196(18)30277-8
ER  - 

APA

Wang, Q., Wang, J., Zhou, J., Ban, J., & Li, T. (2019). Estimation of PM2·5-associated disease burden in China in 2020 and 2030 using population and air quality scenarios: a modelling study. The Lancet Planetary Health. https://doi.org/10.1016/s2542-5196(18)30277-8

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