[1] |
YANG Fan, FENG Ting, HE Junyi, ZHANG Lijuan, XU Jing, CAO Chunli, LI Shizhu .
Distribution characteristics of emerging and reemerging Oncomelania hupensis in China from 2015 to 2021
[J]. Chinese Journal of Schistosomiasis Control, 2023, 35(5): 437-443.
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[2] |
HE Junyi, ZHANG Yun, BAO Ziping, GUO Suying, CAO Chunli, DU Chunhong, CHA Jianwei, SUN Jiayu, DONG Yi, XU Jing, LI Shizhu, ZHOU Xiaonong.
Molluscicidal effect of spraying 5% niclosamide ethanolamine salt granules with drones against Oncomelania hupensis in hilly regions
[J]. Chinese Journal of Schistosomiasis Control, 2023, 35(5): 451-457,507.
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[3] |
CHEN Yanyan, XIAO Ying, WEI Fenghua, YANG Junjing, DAI Lingfeng, ZHONG Chenhui, LIU Jianbing.
Spatial distribution of Oncomelania hupensis spread in Hubei Province from 2020 to 2022
[J]. Chinese Journal of Schistosomiasis Control, 2023, 35(4): 349-357.
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[4] |
YANG Cheng, TANG Xingli, PAN Zhongwu.
Experimental study on the molluscicidal activity of surfactin against Oncomelania hupensis
[J]. Chinese Journal of Schistosomiasis Control, 2023, 35(4): 394-397.
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[5] |
ZHANG Yuying, CAO Yuanyuan, YANG Kai, WANG Weiming, YANG Mengmeng, CHAI Liying, GU Jiyue, LI Mengyue, LU Yan, ZHOU Huayun, ZHU Guoding, CAO Jun, LU Guangyu.
Risk predictive models of healthcare⁃seeking delay among imported malaria patients in Jiangsu Province based on the machine learning
[J]. Chinese Journal of Schistosomiasis Control, 2023, 35(3): 225-235,243.
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[6] |
ZHENG Ruiying, LIU Genyan.
Application of machine learning in clinical predictive models for infectious diseases: a review
[J]. Chinese Journal of Schistosomiasis Control, 2023, 35(3): 317-321.
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[7] |
XUE Jingbo, XIA Shang, LI Zhaojun, WANG Xinyi, HUANG Liangyu, HE Runchao, LI Shizhu.
Intelligent identification of livestock, a source of Schistosoma japonicum infection, based on deep learning of unmanned aerial vehicle images
[J]. Chinese Journal of Schistosomiasis Control, 2023, 35(2): 121-.
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[8] |
CHEN Shen, DUAN Lei, LI Shengming, ZHOU Jie, ZHOU Yingcai, YANG Yuanzhi, LIU Mengli, WANG Yanren, XIA Shang, XU Jing, LÜ Shan.
Preliminary study on the mechanism underlying the ecological isolation of Oncomelania hupensis populations in Changde City
[J]. Chinese Journal of Schistosomiasis Control, 2023, 35(2): 147-.
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[9] |
XIONG Tao, GUO Jin⁃lu, LU Fang⁃guo, LIU Jia⁃hao, ZHENG Tao, LI Jia⁃shan.
Screening of traditional Chinese medicine⁃derived snail control drug targets based on network pharmacology
[J]. Chinese Journal of Schistosomiasis Control, 2022, 34(6): 588-.
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[10] |
SHI Liang, ZHANG Jian⁃feng, LI Wei, YANG Kun.
Artificial intelligence facilitates tropical infectious disease control and research
[J]. Chinese Journal of Schistosomiasis Control, 2022, 34(5): 445-.
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[11] |
LI Zi⁃ang, JIAO Yi⁃ping, XU Jun.
Current status and prospects of artificial intelligence in schistosomiasis prevention and control
[J]. Chinese Journal of Schistosomiasis Control, 2022, 34(5): 453-.
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[12] |
ZHOU Bo⁃yang, SHI Yi⁃lei, GUO Le⁃hang, MOU Li⁃chao, ZHU Xiao⁃xiang, ZHAO Chong⁃ke.
Artificial intelligence technology enables ultrasonography in precision diagnosis and treatment of liver diseases
[J]. Chinese Journal of Schistosomiasis Control, 2022, 34(5): 458-.
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[13] |
DU Zhi⁃cheng, ZHANG Zhi⁃jie, JIANG Qing⁃wu.
Progress of researches on medical big data analytics technology
[J]. Chinese Journal of Schistosomiasis Control, 2022, 34(5): 465-.
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[14] |
ZHANG Xu⁃hui, SUOLANG La⁃mu, QIU Jia⁃jun, JIANG Jing⁃wen, YIN Jin, WANG Jun⁃ren, WANG Yi⁃fei, LI Yong⁃zhong, CAI Di⁃ming.
Feasibility of ultrasound radiomics⁃based models for classification of hepatic echinococcosis
[J]. Chinese Journal of Schistosomiasis Control, 2022, 34(5): 500-.
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[15] |
CHEN Shen, LÜ Shan.
Watershed ecology⁃based rethinking of Oncomelania snail control
[J]. Chinese Journal of Schistosomiasis Control, 2022, 34(5): 542-.
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