Zobrazeno 1 - 10
of 157
pro vyhledávání: '"Xu‐Sheng Zhang"'
Autor:
Xu-Sheng Zhang, Hong Luo, Andre Charlett, Daniela DeAngelis, Wei Liu, Peter Vickerman, Mark Woolhouse, Linxiong Wu
Publikováno v:
BMC Global and Public Health, Vol 2, Iss 1, Pp 1-16 (2024)
Abstract Background Understanding how the COVID-19 pandemic evolved under control measures is crucial to tackle the SARS-CoV-2 virus spread. Laos, a country bordering China but with late occurrence and low burden of COVID-19 compared to its neighbour
Externí odkaz:
https://doaj.org/article/e4d7462038584b27b6484300215f5f0c
Autor:
Yi-Fan Tian, Shuang-Jie Tan, Chunpeng Yang, Yu-Ming Zhao, Di-Xin Xu, Zhuo-Ya Lu, Ge Li, Jin-Yi Li, Xu-Sheng Zhang, Chao-Hui Zhang, Jilin Tang, Yao Zhao, Fuyi Wang, Rui Wen, Quan Xu, Yu-Guo Guo
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-10 (2023)
Abstract Micron-sized Si anode promises a much higher theoretical capacity than the traditional graphite anode and more attractive application prospect compared to its nanoscale counterpart. However, its severe volume expansion during lithiation requ
Externí odkaz:
https://doaj.org/article/02656955f9864f13bb4ac39b4043f189
Autor:
Zeyu Zhao, Meng Yang, Jinlong Lv, Qingqing Hu, Qiuping Chen, Zhao Lei, Mingzhai Wang, Hao Zhang, Xiongjie Zhai, Benhua Zhao, Yanhua Su, Yong Chen, Xu-Sheng Zhang, Jing-An Cui, Roger Frutos, Tianmu Chen
Publikováno v:
Infectious Disease Modelling, Vol 7, Iss 2, Pp 161-178 (2022)
Objective: In China, the burden of shigellosis is unevenly distributed, notably across various ages and geographical areas. Shigellosis temporal trends appear to be seasonal. We should clarify seasonal warnings and regional transmission patterns. Met
Externí odkaz:
https://doaj.org/article/18b19903cf9d4b8d8f2ccc122ad158b5
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract COVID-19 is reported to have been brought under control in China. To understand the COVID-19 outbreak in China and provide potential lessons for other parts of the world, in this study we apply a mathematical model with multiple datasets to
Externí odkaz:
https://doaj.org/article/390dea4c312043afbb61818286a555bf
Autor:
Paul J. Birrell, Xu-Sheng Zhang, Alice Corbella, Edwin van Leeuwen, Nikolaos Panagiotopoulos, Katja Hoschler, Alex J. Elliot, Maryia McGee, Simon de Lusignan, Anne M. Presanis, Marc Baguelin, Maria Zambon, André Charlett, Richard G. Pebody, Daniela De Angelis
Publikováno v:
BMC Public Health, Vol 20, Iss 1, Pp 1-11 (2020)
Abstract Background Since the 2009 A/H1N1 pandemic, Public Health England have developed a suite of real-time statistical models utilising enhanced pandemic surveillance data to nowcast and forecast a future pandemic. Their ability to track seasonal
Externí odkaz:
https://doaj.org/article/795660b8dff14e51a83c84d9939d6038
Publikováno v:
Tropical Medicine and Infectious Disease, Vol 8, Iss 2, p 116 (2023)
In recent decades, the global incidence of dengue has risen sharply, with more than 75% of infected people showing mild or no symptoms. Since the year 2000, dengue in China has spread quickly. At this stage, there is an urgent need to fully understan
Externí odkaz:
https://doaj.org/article/889b69ace55342769315b03c97d506a4
Publikováno v:
Tropical Medicine and Infectious Disease, Vol 7, Iss 9, p 227 (2022)
Background: Since the emergence of the COVID-19 pandemic, many models have been applied to understand its epidemiological characteristics. However, the ways in which outbreak data were used in some models are problematic, for example, importation was
Externí odkaz:
https://doaj.org/article/0a8c0d885fee4d90979cfa48e61a17ef
Autor:
Jia Rui, Kaiwei Luo, Qiuping Chen, Dexing Zhang, Qinglong Zhao, Yanhong Zhang, Xiongjie Zhai, Zeyu Zhao, Siyu Zhang, Yuxue Liao, Shixiong Hu, Lidong Gao, Zhao Lei, Mingzhai Wang, Yao Wang, Xingchun Liu, Shanshan Yu, Fang Xie, Jia Li, Ruoyun Liu, Yi-Chen Chiang, Benhua Zhao, Yanhua Su, Xu-Sheng Zhang, Tianmu Chen
Publikováno v:
PLoS Neglected Tropical Diseases, Vol 15, Iss 3, p e0009233 (2021)
BackgroundHand, foot, and mouth disease (HFMD) is a global infectious disease; particularly, it has a high disease burden in China. This study was aimed to explore the temporal and spatial distribution of the disease by analyzing its epidemiological
Externí odkaz:
https://doaj.org/article/222d66526bbd4599be2b39c865a8d7fe
Autor:
Alice Corbella, Xu-Sheng Zhang, Paul J. Birrell, Nicki Boddington, Richard G. Pebody, Anne M. Presanis, Daniela De Angelis
Publikováno v:
BMC Public Health, Vol 18, Iss 1, Pp 1-11 (2018)
Abstract Background Influenza remains a significant burden on health systems. Effective responses rely on the timely understanding of the magnitude and the evolution of an outbreak. For monitoring purposes, data on severe cases of influenza in Englan
Externí odkaz:
https://doaj.org/article/cced777cf0c845ddaecfc99649a80c57
Autor:
Xu-Sheng Zhang, Giovanni Lo Iacono
Publikováno v:
PLoS ONE, Vol 13, Iss 9, p e0204201 (2018)
Hepatitis A is caused by hepatitis A virus and occurs worldwide. Estimating the transmissibility, which is usually characterized by the basic reproductive number R0, the mean number of secondary infectious cases generated by a single primary infectio
Externí odkaz:
https://doaj.org/article/8825156170e7474ea2547d2cc4562de3