研究成果
新冠肺炎疫情模型
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论文：
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[1]
Sun Guiquan, Li Mingtao, Li Li, Zhang Juan, Zhang Wei, Jin Zhen. Transmission dynamics of COVID-19 in Wuhan, China: effects of lockdown and medical resources[J]. Nonlinear Dynamics, 2020, 101: 1981-1993.
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[2]
郭尊光, 张娟, 常利利, 梁娟, 邢国荣, 张伟, 孙桂全. 基于反应扩散方程研究新型冠状病毒肺炎在武汉早期传播特征[J]. 工程数学学报, 2020, 37 (4): 391-402.
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[3]
Luo Xiaofeng, Feng Shanshan, Yang Junyuan, et al. Nonpharmaceutical interventions contribute to the control of COVID-19 in China based on a pairwise model[J]. Infectious Disease Modelling, 2021.
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[4]
张菊平, 李云, 姚美萍等. 武汉市COVID-19疫情与易感人群软隔离强度关系分析[J]. 应用数学学报, 2020, 43(02): 20-31.
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[5]
Feng Shanshan, Li Juan, Zhang Juping, Zhu Huaiping, Jin Zhen. Effects of isolation and medical resource allocation on the spread of COVID - 19 in Wuhan, 2020.(待发)
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[6]
Song Haitao, Liu Fang, Li Feng, Cao Xiaochun, Wang Hao, et al. The impact of isolation on the transmission of COVID-19 and estimation of potential second epidemic in China, 2020.(待发)
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[7]
Li Yun, Zhang Juping, Jin Zhen, et al. Assessing the effectiveness of various control measures adopted by Wuhan on COVID-19 outbreak, 2020.(待发)
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[8]
李金仙, 刘桂荣, 荆文君, 史璐沙, 段茉然, 李慧聪. 医疗资源限制下的新型冠状病毒模型, 2020.(待发)
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[9]
Li Mingtao, Sun Guiquan, Zhang Juan, et al. Analysis of COVID-19 transmission in Shanxi Province with discrete time imported cases[J]. Mathematical Biosciences and Engineering, 2020, 17(4): 3710-3720.
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[10]
Zhang Juan, Sun Guiquan, Li Mingtao, Chang Lili, Zhang Wenyi, et al. COVID-19 propagation prediction and assessment method with imported cases and generations: Shanxi province as a case, 2020. (待发)
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[11]
Zhang Juan, et al. COVID-19 reverse prediction and assessment on the Diamond Princess Cruise Ship[J]. Frontiers in Physics, 2020, 8.
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[12]
张娟等, 河北省COVID-19疫情预测与评估.(待发)
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[13]
李慧聪, 李金仙, 荆文君等. 河南省新型冠状病毒(COVID-19)疫情分析[J]. 重庆理工大学学报, 2020, 034(004): 59-65.
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[14]
黄森忠, 彭志行, 靳祯. 新型冠状病毒肺炎疫情控制策略研究: 效率评估及建议[J]. 中国科学: 数学, 2020, 50(06): 885-898.
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[15]
杨俊元, 张烁, 王国强, 李学志. 数据驱动下新冠肺炎基本再生数的计算方法[J]. 河南师范大学学报(自然科学版), 2020, 48(02): 1-5.
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[16]
王国强, 张烁, 杨俊元, 许小可. 耦合不同年龄层接触模式的新冠肺炎传播模型[J]. 物理学报, 2020, 70(01):
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专利：
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软件著作：
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[1]
新冠肺炎疫情文本关键信息抽取软件V1.0 登记号 2021SR0100924. (Link)