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Using Data Mining Technology to Carry Out Bioinformatics Study for Human Rabies in Hubei Province of China |
ZHANG Qiao-zhen1,WU Wen-ting1,LI Zi-xuan1,ZHAO Xin-bo1,HU Bing2,LIU Cong2,SUI Zheng-wei3,LIU Hong-tu4,ZHANG Le1,5,**() |
1 College of Computer Science, Sichuan University, Chengdu 610065, China 2 Hubei Provincial Center for Disease Control and Prevention, Wuhan 430079, China 3 China Center for Resources Satellite Data and Application, Beijing 100094, China 4 National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China 5 Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu 610065, China |
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Abstract It is well known that the fatality rate of rabies, an acute zoonotic disease, is nearly 100%. As one of the high incidence areas in central China, investigating rabies epidemic in Hubei province not only can understand the current risk of Chinese rabies epidemic, but also can provide effective suggestions for local and national rabies prevention and control. Firstly, descriptive analysis turned out that the rabies cases of Hubei province are decreasing, but the exposed cases of rabies are increasing. Especially, rabies cases in the central and western regions of Hubei are slightly greater than the east, while rabies cases for men is significantly greater than for women. Moreover, the rabies cases of middle-aged and elderly people infected are greater than the young. Secondly, time series analysis for rabies cases and exposed cases to rabies confirmed that both time series have seasonal periodicity and are correlated with each other. The predictive rabies model shows that the rabies cases will be stable, whereas the exposed cases of rabies will increase in the next three years. Thirdly, panel regression showed that the rabies cases in Hubei province are comprehensively affected by population, GDP, air temperature and precipitation, and test results demonstrated statistically significant differences between low/high elevations and slopes. Finally, the limitations and the future research direction were further discussed.
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Received: 29 October 2020
Published: 08 April 2021
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Corresponding Authors:
Le ZHANG
E-mail: zhangle06@scu.edu.cn
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Cite this article:
ZHANG Qiao-zhen,WU Wen-ting,LI Zi-xuan,ZHAO Xin-bo,HU Bing,LIU Cong,SUI Zheng-wei,LIU Hong-tu,ZHANG Le. Using Data Mining Technology to Carry Out Bioinformatics Study for Human Rabies in Hubei Province of China. China Biotechnology, 2021, 41(2/3): 14-29.
URL:
https://manu60.magtech.com.cn/biotech/10.13523/j.cb.2010040 OR https://manu60.magtech.com.cn/biotech/Y2021/V41/I2/3/14
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