Y
Yajuan Zhang
Researcher at Peking University
Publications - 21
Citations - 466
Yajuan Zhang is an academic researcher from Peking University. The author has contributed to research in topics: Medicine & Population. The author has an hindex of 9, co-authored 16 publications receiving 342 citations. Previous affiliations of Yajuan Zhang include Chinese Ministry of Education & Heilongjiang University.
Papers
More filters
Journal ArticleDOI
Does temperature enhance acute mortality effects of ambient particle pollution in Tianjin City, China.
TL;DR: The modification effects of temperature on the association between PM(10) and the cause-specific mortality for cardiovascular, respiratory, cardiopulmonary, stroke and ischemic heart diseases, as well as non-accidental mortality in Tianjin between 2007 and 2009 were explored.
Journal ArticleDOI
Spatiotemporal analysis of particulate air pollution and ischemic heart disease mortality in Beijing, China.
TL;DR: Ambient PM10 concentration was associated with IHD mortality in spatiotemporal analysis and the strongest effects were identified for the 2-day average and the effects were larger than that using averaged PM10.
Journal ArticleDOI
Impact of ambient temperature on clinical visits for cardio-respiratory diseases in rural villages in northwest China.
Qi Zhao,Yi Chen Zhao,Shanshan Li,Yajuan Zhang,Qingan Wang,Huiling Zhang,Hui Qiao,Wuping Li,Rachel R. Huxley,Gail M. Williams,Yuhong Zhang,Yuming Guo +11 more
TL;DR: In rural settings, sub-optimal temperatures explained nearly one quarter of all clinical visits due to cardiovascular and respiratory diseases, and moderately cold temperatures accounted for most of the overall burden of clinical visits.
Journal ArticleDOI
The spatial characteristics of ambient particulate matter and daily mortality in the urban area of Beijing, China.
TL;DR: There is spatial variation in ambient PM( 10) concentration as well as in the effects of PM(10) on cause-specific mortality in the urban area of Beijing, suggesting that the Poisson Generalized Additive Mixed Model (GAMM) model may be more effective in estimating the spatial association between urban-wide PM (10) and cause- specific mortality.
Posted ContentDOI
Prediction of the COVID-19 outbreak based on a realistic stochastic model
TL;DR: A novel stochastic model is proposed which aims to account for the unique transmission dynamics of COVID-19 and capture the effects of intervention measures implemented in Mainland China and finds that the transmission rate has reduced significantly since the implementation of control measures.