Gao S - Search Results

1

Combined use of principal component analysis and artificial neural network approach to improve estimates of PM_2.5 personal exposure: A case study on older adults.

Gao S, Zhao H, Bai Z, Han B, Xu J, Zhao R, Zhang N, Chen L, Lei X, Shi W, Zhang L, Li P, Yu H. Gao S, et al. Sci Total Environ. 2020 Jul 15;726:138533. doi: 10.1016/j.scitotenv.2020.138533. Epub 2020 Apr 7. Sci Total Environ. 2020. PMID: 32320881

2

Personal exposure to black carbon during commuting in peak and off-peak hours in Shanghai.

Li B, Lei XN, Xiu GL, Gao CY, Gao S, Qian NS. Li B, et al. Among authors: gao s, gao cy. Sci Total Environ. 2015 Aug 15;524-525:237-45. doi: 10.1016/j.scitotenv.2015.03.088. Epub 2015 Apr 20. Sci Total Environ. 2015. PMID: 25909267

3

Assessment of population exposure to PM_2.5 for mortality in China and its public health benefit based on BenMAP.

Chen L, Shi M, Gao S, Li S, Mao J, Zhang H, Sun Y, Bai Z, Wang Z. Chen L, et al. Among authors: gao s. Environ Pollut. 2017 Feb;221:311-317. doi: 10.1016/j.envpol.2016.11.080. Epub 2016 Dec 3. Environ Pollut. 2017. PMID: 27919584

4

Quantifying public health benefits of environmental strategy of PM_2.5 air quality management in Beijing-Tianjin-Hebei region, China.

Chen L, Shi M, Li S, Gao S, Zhang H, Sun Y, Mao J, Bai Z, Wang Z, Zhou J. Chen L, et al. Among authors: gao s. J Environ Sci (China). 2017 Jul;57:33-40. doi: 10.1016/j.jes.2016.11.014. Epub 2016 Dec 29. J Environ Sci (China). 2017. PMID: 28647254

5

Spatiotemporal modeling of PM_2.5 concentrations at the national scale combining land use regression and Bayesian maximum entropy in China.

Chen L, Gao S, Zhang H, Sun Y, Ma Z, Vedal S, Mao J, Bai Z. Chen L, et al. Among authors: gao s. Environ Int. 2018 Jul;116:300-307. doi: 10.1016/j.envint.2018.03.047. Epub 2018 May 3. Environ Int. 2018. PMID: 29730578

6

Estimating short-term mortality and economic benefit attributable to PM₁₀ exposure in China based on BenMAP.

Chen L, Mao J, Shi M, Zhang H, Sun Y, Gao S, Li S, Li M, Ma Z, Bai Z. Chen L, et al. Among authors: gao s. Environ Sci Pollut Res Int. 2018 Oct;25(28):28367-28377. doi: 10.1007/s11356-018-2805-5. Epub 2018 Aug 6. Environ Sci Pollut Res Int. 2018. PMID: 30083901

7

Estimation of health and economic benefits based on ozone exposure level with high spatial-temporal resolution by fusing satellite and station observations.

Liang S, Li X, Teng Y, Fu H, Chen L, Mao J, Zhang H, Gao S, Sun Y, Ma Z, Azzi M. Liang S, et al. Among authors: gao s. Environ Pollut. 2019 Dec;255(Pt 2):113267. doi: 10.1016/j.envpol.2019.113267. Epub 2019 Sep 25. Environ Pollut. 2019. PMID: 31574391

8

A hybrid approach to estimating long-term and short-term exposure levels of ozone at the national scale in China using land use regression and Bayesian maximum entropy.

Chen L, Liang S, Li X, Mao J, Gao S, Zhang H, Sun Y, Vedal S, Bai Z, Ma Z, Haiyu, Azzi M. Chen L, et al. Among authors: gao s. Sci Total Environ. 2021 Jan 15;752:141780. doi: 10.1016/j.scitotenv.2020.141780. Epub 2020 Aug 22. Sci Total Environ. 2021. PMID: 32882471

9

Associations of Exposure to Fine Particulate Matter Mass and Constituents with Systemic Inflammation: A Cross-Sectional Study of Urban Older Adults in China.

Han B, Xu J, Zhang Y, Li P, Li K, Zhang N, Han J, Gao S, Wang X, Geng C, Yang W, Zhang L, Bai Z. Han B, et al. Among authors: gao s. Environ Sci Technol. 2022 Jun 7;56(11):7244-7255. doi: 10.1021/acs.est.1c04488. Epub 2022 Feb 11. Environ Sci Technol. 2022. PMID: 35148063

10

Characteristics, Source Contributions, and Source-Specific Health Risks of PM_2.5-Bound Polycyclic Aromatic Hydrocarbons for Senior Citizens during the Heating Season in Tianjin, China.

Zhang N, Geng C, Xu J, Zhang L, Li P, Han J, Gao S, Wang X, Yang W, Bai Z, Zhang W, Han B. Zhang N, et al. Among authors: gao s. Int J Environ Res Public Health. 2022 Apr 7;19(8):4440. doi: 10.3390/ijerph19084440. Int J Environ Res Public Health. 2022. PMID: 35457316 Free PMC article.

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