Jing Cai
Fudan University
102 Papers
82 Citations
Jing Cai is an academic researcher from Fudan University. The author has contributed to research in topics: Medicine & Chemistry. The author has an hindex of 29, co-authored 73 publications. Previous affiliations of Jing Cai include East China University of Science and Technology & National Health and Family Planning Commission.
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Papers
Aerodynamic analysis of SARS-CoV-2 in two Wuhan hospitals.
Yuan Liu,Zhi Ning,Yu Chen,Ming Guo,Yingle Liu,Nirmal Kumar Gali,Li Sun,Yusen Duan,Jing Cai,Dane Westerdahl,Xinjin Liu,Ke Xu,Kin Fai Ho,Haidong Kan,Qingyan Fu,Ke Lan +15 more
TL;DR: It is proposed that room ventilation, open space, sanitization of protective apparel, and proper use and disinfection of toilet areas can effectively limit the concentration of SARS-CoV-2 RNA in aerosols, although the infectivity of the virus RNA was not established in this study.
Particulate Matter Exposure and Stress Hormone Levels: A Randomized, Double-Blind, Crossover Trial of Air Purification
Huichu Li,Jing Cai,Renjie Chen,Zhuohui Zhao,Zhekang Ying,Lin Wang,Jianmin Chen,Ke Hao,Patrick L. Kinney,Honglei Chen,Haidong Kan +10 more
TL;DR: It is suggested that higher PM may induce metabolic alterations that are consistent with activations of the hypothalamus-pituitary-adrenal and sympathetic- adrenal-medullary axes, adding potential mechanistic insights into the adverse health outcomes associated with PM.
462
Aerodynamic Characteristics and RNA Concentration of SARS-CoV-2 Aerosol in Wuhan Hospitals during COVID-19 Outbreak
Yuan Liu,Zhi Ning,Yu Chen,Ming Guo,Yingle Liu,Nirmal Kumar Gali,Li Sun,Yusen Duan,Jing Cai,Dane Westerdahl,Xinjin Liu,Kin Fai Ho,Haidong Kan,Qingyan Fu,Ke Lan +14 more
TL;DR: Room ventilation, open space, proper use and disinfection of toilet can effectively limit aerosol transmission of SARS-CoV-2, and effective sanitization is critical in minimizing aerosol transmitters.
286
Associations between long-term exposure to ambient particulate air pollution and type 2 diabetes prevalence, blood glucose and glycosylated hemoglobin levels in China.
Cong Liu,Changyuan Yang,Yaohui Zhao,Zongwei Ma,Jun Bi,Yang Liu,Xia Meng,Yafeng Wang,Jing Cai,Haidong Kan,Renjie Chen +10 more
TL;DR: This nationwide cross-sectional study suggested that long-term exposure to PM2.5 might increase the risk of type 2 diabetes mellitus in China.
182
A land use regression model for estimating the NO2 concentration in shanghai, China
TL;DR: The LUR model of NO2 outperformed the kriging and inverse distance weighed (IDW) interpolation methods in Shanghai and may provide a cost-effective method of air pollution exposure assessment in a developing country.
142