Dongyang Yang

Dr. Dongyang Yang

orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 December 2018 in Energy Policy
Verified
Journal Article
Closed access
XWXiaomin Wang
Xiaomin Wang
GTGuanghui Tian
Guanghui Tian
DYDongyang Yang
Dongyang Yang
WZWenxin Zhang
Wenxin Zhang
Debin LuDebin Lu
Debin Lu
ZLZhongmei Liu
Zhongmei Liu

1 June 2018 in Atmospheric Environment
Verified
Journal Article
Closed access
DYDongyang Yang
Dongyang Yang
CYChao Ye
Chao Ye
XWXiaomin Wang
Xiaomin Wang
Debin LuDebin Lu
Debin Lu
Jianhua XuJianhua Xu
Jianhua Xu
HYHaiqing Yang
Haiqing Yang

1 October 2018 in Environmental Pollution
Verified
Journal Article
Closed access
DYDongyang Yang
Dongyang Yang
XWXiaomin Wang
Xiaomin Wang
Jianhua XuJianhua Xu
Jianhua Xu
CXChengdong Xu
Chengdong Xu
Debin LuDebin Lu
Debin Lu
LBLing Bai
Ling Bai

1 November 2020 in Science of The Total Environment
Verified
Journal Article
Closed access
XZXiangxue Zhang
Xiangxue Zhang
Xinchen GuXinchen Gu
Xinchen Gu
CCChangxiu Cheng
Changxiu Cheng
DYDongyang Yang
Dongyang Yang


25 September 2014 in BMC Public Health
Verified
Journal Article
Open access
PDF file
GXGexin Xiao
Gexin Xiao
CXChengdong Xu
Chengdong Xu
Jinfeng WangJinfeng Wang
Jinfeng Wang
DYDongyang Yang
Dongyang Yang
LWLi Wang
Li Wang
Bacillary dysentery remains a major public health concern in China. The Beijing–Tianjin–Tangshan urban region is one of the most heavily infected areas in the country. This study aimed to analyze epidemiological features of bacillary dysentery, detect spatial-temporal clusters of the disease, and analyze risk factors that may affect bacillary dysentery incidence in the region. Bacillary dysentery case data from January 2011 to December 2011 in Beijing–Tianjin–Tangshan were used in this study. The epidemiological features of cases were characterized, then scan statistics were performed to detect spatial temporal clusters of bacillary dysentery. A spatial panel model was used to identify potential risk factors. There were a total of 28,765 cases of bacillary dysentery in 2011. The results of the analysis indicated that compared with other age groups, the highest incidence (473.75/105) occurred in individuals <5 years of age. The incidence in males (530.57/105) was higher compared with females (409.06/105). On a temporal basis, incidence increased rapidly starting in April. Peak incidence occurred in August (571.10/105). Analysis of the spatial distribution model revealed that factors such as population density, temperature, precipitation, and sunshine hours were positively associated with incidence rate. Per capita gross domestic product was negatively associated with disease incidence. Meteorological and socio-economic factors have affected the transmission of bacillary dysentery in the urban Beijing–Tianjin–Tangshan region of China. The success of bacillary dysentery prevention and control department strategies would benefit from giving more consideration to climate variations and local socio-economic conditions.