scholarly journals Environmental changes in response to altered hydrological connectivities with the Yangtze River in Lake Zhangdu(Hubei Province) over the past 200 years

2013 ◽  
Vol 25 (4) ◽  
pp. 463-470 ◽  
Author(s):  
ZHANG Qinghui ◽  
◽  
DONG Xuhui ◽  
YAO Min ◽  
CHEN Shiyue ◽  
...  
2001 ◽  
Vol 44 (S1) ◽  
pp. 119-122 ◽  
Author(s):  
Chaoyong Hu ◽  
Junhua Huang ◽  
Guanqing Yang ◽  
Xiulun Lin ◽  
Nianqiao Fang

2008 ◽  
Vol 186 (1) ◽  
pp. 32-42 ◽  
Author(s):  
Jijun Xu ◽  
Dawen Yang ◽  
Yonghong Yi ◽  
Zhidong Lei ◽  
Jin Chen ◽  
...  

2014 ◽  
Vol 54 ◽  
pp. 1-11 ◽  
Author(s):  
Zhibing Jiang ◽  
Jingjing Liu ◽  
Jianfang Chen ◽  
Quanzhen Chen ◽  
Xiaojun Yan ◽  
...  

2013 ◽  
Vol 23 (1) ◽  
pp. 31-44 ◽  
Author(s):  
Jingyun Zheng ◽  
Shuying Zhong ◽  
Quansheng Ge ◽  
Zhixin Hao ◽  
Xuezhen Zhang ◽  
...  

2012 ◽  
Vol 6 (1) ◽  
pp. 10-17 ◽  
Author(s):  
Yansheng Gu ◽  
Hanlin Wang ◽  
Xianyu Huang ◽  
Hongxia Peng ◽  
Junhua Huang

Parasitology ◽  
2019 ◽  
Vol 147 (2) ◽  
pp. 199-212
Author(s):  
Yanyan Chen ◽  
Jianbing Liu ◽  
Ying Xiao ◽  
Chenhui Zhong ◽  
Fenghua Wei ◽  
...  

AbstractHubei Province is one of the endemic regions with severe schistosomiasis in China. To eliminate schistosomiasis in lake and marshland regions, this study detected hotspots of schistosomiasis cases both spatially and spatiotemporally on the basis of spatial autocorrelation; clustering and outlier, purely spatial and spatiotemporal cluster analyses at the village level from 2013 to 2017 in Hubei Province. The number of cases confirmed positive by an immunodiagnostic test and etiological diagnosis and advanced schistosomiasis cases dramatically declined during the study period. Significant global spatial autocorrelation of schistosomiasis patients was found at the village level in the whole province in 5 years. Clustering and outlier analysis showed that most HH villages were mainly concentrated along the Yangtze River, especially in Jianghan Plain. Spatial and spatiotemporal cluster analyses showed that significant clusters of the schistosomiasis cases were detected at the village level. In general, space and spatiotemporal clustering of schistosomiasis cases at the village level demonstrated a downward trend from 2013 from 2017 in Hubei Province. High-risk regions included Jianghan Plain along the middle reach of Yangtze River and Yangxin County in the lower reaches of the Yangtze River in Hubei Province. To eliminate schistosomiasis, precise control and management of schistosomiasis cases should be strictly implemented. Moreover, comprehensive prevention and control measures should be continuously strengthened in these regions.


2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Lei Ye ◽  
Lingqian Hu

An outbreak of atypical pneumonia, now called COVID-19 and known to be caused by the novel coronavirus SARS-CoV-2, first detected in Wuhan, Hubei Province of the People’s Republic of China in December 2019 and afterwards rapidly spread worldwide. Wuhan and the Yangtze River Delta (YRD) region implemented first-level public health emergency responses to stop the spread of the virus on January 23rd, 2020. We tracked the geographical gravity centre of the disease and calculated spatial autocorrelation to explore the spatiotemporal patterns of distribution of imported and locally disseminated COVID-19 cases under the emergency-response control measure. We also applied polynomial regression analysis to estimate the trend of the COVID-19 in the YRD region before and after the control activities against the spread of the infection were instituted. The results show that the control measures applied have been effective. And, in the YRD region, areas with a large influx of population flow from Wuhan and Hubei Province had high risks of COVID-19. Therefore, identification of the spatiotemporal trends should be the first step when developing effective policies to manage and control any new epidemic. The results are not only informative locally but also useful for the rest of the world.


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