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  • 姓名:唐三一
  • 性别:男
  • 职称:教授
  • 职务:科技处处长
  • E-mail:sytang@snnu.edu.cn
  • 工作室:文津楼二段2209
性别 职称 教授
职务 科技处处长 邮箱 sytang@snnu.edu.cn
工作室 文津楼二段2209

基本情况

教育经历:
      09/2000-04/2003, 中国科学院数学与系统科学研究院数学所,获理学博士学位
               指导教师:陈兰荪研究员
               研究方向:动力系统、生物数学
               数学软件:Maple, Matlab, XppAuto
               博士论文:脉冲半动力系统及其在生物资源管理中的应用研究
      09/1995-07/1998, 陕西师范大学数学系,获理学硕士学位
               指导教师:陈菊芳教授
               研究方向:动力系统、生物数学
               硕士论文:时滞差分方程的持续生存与稳定性研究
      09/1990-07/1993, 湖北民族学院数学系
      工作经历:
      07/2007-至今     教授:陕西师范大学
      07/2013-01/2014  教育部公派访问学者,加拿大York大学,合作导师,Jianhong Wu.
      01/2006-07/2007  博士后研究:Warwick systems biology center,The University of Warwick. Coventry, CV4 7AL UK
               合作导师: Prof. David Rand.
               研究方向: Mathematical analysis of network architecture: function, dynamics and  noise。
      10/2003-01/2006 博士后研究:Mathematics Institute ,The University of Warwick. Coventry, CV4 7AL UK
              合作导师:   Prof. David Rand.
              研究方向:  Mathematical analysis of network architecture: function, dynamics and noise。

代表性学术成果

部分会议邀请报告和主办会议:

  • 1. 2009年6月14-17日,应邀参加浙江大学召开的国际生物数学年会上作40分钟大会特邀报告Joint Conference of the Society for Mathematical Biology and the Chinese Society for Mathematical Biology。 June 14-17, 2009 , Hangzhou , P.R. China. Impulsive Hybrid Systems for Integrated Pest/Disease Management.

  • 2. 2010年5月30日-6月5日,应邀参加在法国波尔多举行的国际计算与种群动力系统大会, 并做一小时大会报告。The third Conference on Computational and Mathematical Population Dynamics, May 30th – June 5th 2010. France, Bordeaux.

  • 3. 2010 December 15-19, 南京师范大学参加第二届中加气候变化对疾病流行的影响研究会议,并作40分钟大会邀请报告。Canada-China International Conference on《The Dynamics of Climate Impact and Infectious Diseases 》 Dec. 15-18, 2010,Nanjing Normal University, Nanjing, China; 报告题目:Fengxiao for mitigating the 2009 A/H1N1 pandemic in Xi’an city, China.

  • 4. 2011年10月13-16日,四川大学参加中国数学会学术年会,并作四十分钟分会邀请报告。

  • 5. 2011年6月3-5日,南京理工大学参加第五届国际生物数学大会,并作大会40分钟邀请报告。

  • 6. 2013年5月28日-6月2日: The fourth Conference on Computational and Mathematical Population Dynamics, May 28th – June 2nd 2013. Taiyuan, China. Section co-organizer: Modeling of infectious diseases.

  • 7. 2015年8月25-8月30日,中日韩三国生物数学会议(日本京都),40分钟大会特邀报告(State-dependent feedback control model with application to integrated pest management),Evaluating the effect of interventions on infectious disease control 专题讨论组织者,25分钟报告:Modelling media impacts on the spread of infectious disease with media coverage and hospital notifications.

  • 8. 2015年12月15日至12月16日,亚洲传染病模型研究在政策决策中的应用国际会议(International meeting on the policy-relevant applications of infectious disease models in Asia),日本东京大学Ito国际研究中心举行, “Policy Related Infectious Disease Modeling Studies in our Group: Opportunities and Challenges”。大会特邀报告

  • 9. 2016年7月17-20日,中国生物数学学会年会(扬州大学),生态系统中的悖论与药物毒理效应,40分钟分组大会报告。

  • 10. 2017年5月30-6月2号,第三届工程与计算数学国际学术会议(ECM2017)香港理工大学,报告题目: “Dengue control: modeling and data  analysis”

  • 11. 2017年7月22-25日,中国生物数学年会,学术报告:Measuring the impact of air pollution on respiratory infection risk in China.

  • 12. 2018年11月8-11日,举办生物数学与医学数据分析会议,参会人数240人,30个40分钟大会邀请报告。

  • 13. 2019年?6月8日至6月10日,杭州师范大学,第十三届应用动力系统国际会议,大会分组报告:Qualitative techniques of impulsive dynamical system with application.

  • 14. 2019年8月23-26日, 北京中日韩印国际生物数学会议, 大会特邀报告:A general model of hormesis in biological systems and its application to pest management.

  • 15. 2019年5月6-11日在山西大学召开《2019年中-加传染病建模中数据处理方法讲习班暨研讨会》:主讲人(四个小时):Modeling of infectious diseases, data analyses and public health decision making.

  • 16. 2020年4月13日,西北天元中心,邀请报告:数学模型助力COVID-19传染病疫情防控。

  • 17. 2020年8月20日,中加传染病数学模型,一小时邀请报告:Early warning and long-term prediction of COVID-19 infection in China: model/data - based analyses.

  • 18. 2020年11月12-13日,上海生命科学研究院,数学生物学发展战略研究与学术交流研讨会,邀请报告:生物数学进阶---揭示本质、探索未知、预测未来。

部分论文著作

(一)理论生态学

  • 1. 唐三一, Yanni Xiao, Permanence in Kolmogorov-type Systems of Delay Difference Equations. J. Diff. Equ.Appl.2001,7(2):167-181.

  • 2. 唐三一, Lansun Chen, Global qualitative analysis for a ratio-dependent predator-prey model with delay. J. Math. Anal. Appl.2002,266:402-419.

  • 3. 唐三一, Lansun Chen, Global Attractivity in a "Food-Limited" Population Model with Impulsive Effects. J. Math. Anal. Appl.2004, 292: 211-221.

  • 4. 唐三一, Lansun Chen, The effect of seasonal harvesting on stage-structured population models. J. Math. Biol., 2004, 48: 357-374.

  • 5. 唐三一, Robert A.Cheke, Yanni Xiao, Optimal impulsive harvesting on non-autonomous Beverton-Holt difference equations. TMA..2006,65:2311-2341.

  • 6. 唐三一, Xiao Yanni, Robert A. Cheke. Multiple attractors of host–parasitoid models with integrated pest management strategies: Eradication, persistence and outbreak. Theor. Popul. Biol. 2008,73:181-197.

  • 7. 唐三一, Xiao, Y. & Cheke, R.A. ,Effects of Predator and Prey Dispersal on Success or Failure of Biological Control. Bull. Math. Biol.2009, 71: 2025–2047.

  • 8. Juhua Liang, 唐三一, Robert A. Cheke.  Pure Bt-crop and mixed see d sowing strategies for optimal economic profit in the face of pest resistance to pesticides and Bt-corn. Applied Mathematics and Computation 2016,283: 6–21.

  • 9. Juhua Liang , Yaohua Zhu, Changcheng Xiang, 唐三一. Travelling waves and paradoxical effects in a discrete-time growth-dispersal model. Applied Mathematical Modelling 2018, 59 :132–146.

(二)脉冲动力系统与害虫综合控制

  • 1. 唐三一, Lansun Chen, Density-dependent birth rate, birth pulses and their population dynamic consequences. J. Math. Biol. 2002,44(2):185-199.

  • 2. 唐三一, Lansun Chen, Multiple Attractors in Stage-structured Population Models with Birth Pulses. Bull. Math. Biol. 2003, 65: 479-495.

  • 3. 唐三一, Yanni Xiao, Lansun Chen, R.A. Cheke, Integrated pest management models and their dynamical behavior. Bull. Math. Biol., 2005,67:115-135.

  • 4. 唐三一, Robert A. Cheke, Stage-dependent impulsive models of Integrated Pest Management (IPM) strategy and their dynamic consequences. J. Math Biol., 2005, 50:257-292.

  • 5. 唐三一, Robert A. Cheke.  Models for integrated pest control and their biological implications.  Math. Biosci. 2008,215:115-125.

  • 6. 唐三一, Tang G.Y., Robert A. Cheke. Optimum timing for integrated pest management: Modelling rates of pesticide application and natural enemy releases. J. Theor. Biol. 2010,264:623-638.

  • 7. 唐三一*,  Liang J.H.,  Tan Y.S.,  Cheke R.A. Threshold conditions for integrated pest management models with pesticides that have residual effects, J. Math. Biol.  2013, 66: 1-35.

  • 8. Liang J.H., 唐三一,  Nieto J.,   Cheke R.A.  Analytical methods for detecting pesticide switches with evolution of pesticide resistance. Math. Biosci. 2013, 245 : 249–257.

  • 9. Liang, J., 唐三一, Cheke, R.A. , Wu, J. Adaptive release of natural enemies in a pest-natural enemy system with pesticide resistance. Bull. Math. Biol. 2013,75: 2167-2195.

  • 10. 唐三一, Biao Tang, Aili Wang, Yanni Xiao, Holling II predator-prey impulsive semi-dynamic model with complex Poincare map. Nonlinear Dynamics, 2015, DOI 10.1007/s11071-015-2092-3.

  • 11. Qianqian Zhang, Biao Tang, 唐三一. Vaccination threshold size and backward bifurcation of SIR model with state-dependent pulse control. J. Theor. Biol. 2018,455 : 75–85.

  • 12. Qianqian Zhang, Biao Tang, Tianyu Cheng and 唐三一. Bifurcation analysis of a generalized impulsive Kolmogorov model with applications to pest and disease control. SIAM J. Appl. Math. 2020,4:1796-1819.

(三)非光滑Filippov系统与应用

  • 1. 唐三一, Liang, J.H.,  Xiao Y. , Cheke, R.A. Sliding bifurcations of Filippov two stage pest control models with economic thresholds. SIAM J. Appl. Math.,2012, 72(4): 1061-1080

  • 2. 唐三一, Xiao Y.,  Wang, N. &  Wu, H. Piecewise HIV virus dynamic model with CD4 T cell count guided therapy: I. J.  Theor. Biol. 2012, 308: 123-134.

  • 3. 唐三一, Liang J.H.. Global qualitative analysis of a non-smooth Gause predator–prey model with a refuge. Nonlinear Analysis TMA. 2013, 76: 165-180.

  • 4. 唐三一, Tang G.Y., Qin W.J. Codimension-1 Sliding Bifurcations of a Filippov Pest Growth Model with Threshold Policy. International Journal of Bifurcation and Chaos,2014,24: 10 (2014) 1450122.

(四)传染病动力学与突发传染病防控

  • 1. 唐三一, Xiao Y. et al.. Campus quarantine (Fengxiao) for curbing emergent infectious diseases: Lessons from mitigating A/H1N1 in Xi’an, China. J. Theor. Biol. 2012, 295:47-58.

  • 2. Biao Tang, Xia Wang, Qian Li, Nicola Luigi Bragazzi, 唐三一, Yanni Xiao and Jianhong Wu. Estimation of the Transmission Risk of the 2019-nCoV and Its Implication for Public Health Interventions. Journal of Clinical Medicine. 2020. doi:10.3390/jcm9020462.

  • 3. Biao Tang, Fan Xia, 唐三一, Nicola Luigi Bragazzi, Qian Li, Xiaodan Sun, Juhua Liang, Yanni Xiao, Jianhong Wu. The effectiveness of quarantine and isolation determine the trend of the COVID-19 epidemics in the final phase of the current outbreak in China. International Journal of Infectious Diseases. Volume 2020,96:636-647.   https://doi.org/10.1016/j.ijid.2020.03.018.

  • 4. 唐三一、肖燕妮、彭志行、沈洪兵. 新型冠装病毒肺炎疫情预测建模、数据融合与防控策略分析. 中华流行病学杂志. 41卷4期.2020:480-484.

  • 5. Qinling Yan, Yingling Tang, Dingding Yan, Jiaying Wang, Linqian Yang, Xinpei Yang, Sanyi Tang*. Impact of media reports on the early spread of COVID-19 epidemic. Journal of Theoretical Biology. Volume 502. (2020). https://doi.org/10.1016/j.jtbi.2020.110385.

  • 6. 王霞, 唐三一, 陈勇, 冯晓梅, 肖燕妮, 徐宗本新型冠状病毒肺炎疫情下武汉及周边地区何时复工? 数据驱动的网络模型分析. 中国科学:数学. 50卷7期. 2020, 969-978.

  • 7. 唐三一、唐彪、Nicola Luigi Bragazzi、夏凡、李堂娟、何莎、任鹏宇、王霞、向长城、彭志行、吴建宏、肖燕妮. 新型冠状病毒肺炎疫情数据挖掘与离散随机传播动力学模型分析. 中国科学:数学. 50卷8期 2020:1071-1086.

(五)药物动力学与药物毒理效应

  • 1. 唐三一,Yanni Xiao, One-compartment model with Michaelis-Menten elimination kinetics and therapeutic window: an analytical approach.  J. Pharmacokin. Biopharm. 2007,34: 807–827.

  • 2. 唐三一, Liang J, Xiang C, Xiao Y, Wang X, Wu J, Li G, Cheke* RA. A general model of hormesis in biological systems and its application to pest management. J. R. Soc. Interface 2019,16: 20190468. http://dx.doi.org/10.1098/rsif.2019.0468.

六)随机模型与数据分析

  • 1. 唐三一, Elizabeth A. Heron.  Bayesian inference for a stochastic logistic model with switching points. Ecol. Mod. 2008, 219:153-169.

  • 2. Qinling Yan, 唐三一, Sandra Gabriele, Jianhong Wu, Media coverage and hospital notifications: Correlation analysis and optimal media impact duration to manage a pandemic. J. Theor. Bio. 2016, 390:1–13.

  • 3. Yan Qinling, 唐三一, Xiao Yanni. Impact of individual behaviour change on the spread of emerging infectious diseases. Statistics in Medicine. 2017:1–22.

  • 4. 唐三一, Qinling Yan, Wei Shi, Xia Wang, Xiaodan Sun, Pengbo Yu, Jianhong Wu, Yanni Xiao*. Measuring the impact of air pollution on respiratory infection risk in China, Environmental Pollution, 2018, 232: 477-486.

  • 5. Sha He, 唐三一,  Yanni Xiao, Robert A. Cheke. Stochastic Modelling of Air Pollution Impacts on Respiratory Infection Risk. Bull. Math. Biol. 2018,80:3127–3153.

  • 6. Sha He, 唐三一, Weiming Wang. A stochastic SIS model driven by random diffusion of air pollutants. Physica A 2019, 532:121759.

(七)蚊媒疾病控制

  • 1. Zhang Xianghong, 唐三一, Robert A. Cheke, Birth-pulse models of Wolbachia-induced cytoplasmic incompatibility in mosquitoes for dengue virus control. Nonlinear Analysis: Real World Applications  2015,  22: 236–258.

  • 2. Xianghong Zhang, 唐三一, Robert A. Cheke, Models to assess how best to replace dengue virus vectors with Wolbachia infected mosquito populations. Math. Biosci. 2015, 269: 164–177

  • 3. Zhang X.H. 唐三一et al. Modeling the Effects of Augmentation Strategies on the Control of Dengue Fever with an Impulsive Differential Equation. Bull. Math. Biol. 2016,78 :1968–2010.

  • 4. X. Wang, 唐三一, Robert A. Cheke.  A stage structured mosquito model incorporating effects of precipitation and daily temperature fluctuations. J. Theor. Biol. 2016, 411: 27–36

  • 5. Sha He, Xianghong Zhang, Juhua Liang, 唐三一. Multiscale modelling the effects of CI genetic evolution in mosquito population on the control of dengue fever. Scientific Reports, 2017(7)13895:1-15.

  • 6. Xianghong Zhang, 唐三一, Qiyong Liu, Robert A. Cheke, Huaiping Zhu.Models to assess the effects of non-identical sex ratio augmentations of Wolbachia-carrying mosquitoes on the control of dengue disease. Math. Biosci. 2018, 299: 58-72.

(八)生物信息学与系统生物学

  • 1. Akman, O.E., Locke, J.C.W., 唐三一, Carré, I., Millar, A. J., Rand* D. A. Isoform switching facilitates period control in the Neurospora crassa circadian clock. Mol. Sys. Biol. 2008,4:1-11.

  • 2. Finkenstadt B., Heron, E.A., Komorowski, M., Edwards, K., 唐三一, Harper C.V. et al., Reconstruction of transcriptional dynamics from gene reporter data using differential equations. Bioinformatics, 2008.

(九)本科生论文

  • 1、 赵吴琼,李小玲,杨丽,李凡,韩菲尔,唐三一. H7N9禽流感发病率主要影响因素分析,数学的实践与认识, 2018,48:188-200.

  • 2、 刘洋,张志琳,唐三一. 基于CD4细胞计数的HIV仓室模型与数据分析,数学的实践与认识, 2020,50(1):188-200.

(十)著作

  • 1. 唐三一, 肖燕妮,《单种群生物动力系统》, 科学出版社出版, 2008。

  • 2. 肖燕妮,周义仓,唐三一,《生物数学原理》,西安交通大学出版社,2012。

  • 3. 陆征一、王稳地主编《生物数学前沿》,完成该书第八章:基因调控网络模型,2008(6): P:114-138。

  • 4. 唐三一,肖燕妮,梁菊花,王霞 《生物数学》,科学出版社,2019。

教育科研项目

  • 2009.01-2011.12:国家自然科学基金,10871122(负责人)混合生物动力系统的研究及其应用

  • 2009.01-2010.12:教育部留学回国基金,(负责人)基因调控网络的稳定性与重构研究

  • 2008.10-2010.12:国家科技重大专项,2008ZX10001-003,“我国艾滋病流行规律、疫情评估和预测方法研究”,参与

  • 2012.01-2015.12:国家自然科学基金,11171199(负责人)综合害虫治理与Bt作物抗性管理的数学模型研究.

  • 2012.01-2012.12:国家自然科学基金国际合作项目NSFC-NIH (81161120403) (负责人)AIDS研究中混合微分方程模型的分析和参数确定方法.

  • 2012.01-2015.12:国家科技重大专项,2012ZX10001001-009,“我国艾滋病流行趋势、疫情评估和预测数学模型研究”,参与

  • 2015.01-2018.12:国家自然科学基金,11471201(负责人)蝗虫型变的非光滑时空动力学模型研究.

  • 2017.01-2021.12:国家自然科学基金重点项目,11631012(第二参与人)典型疾病多尺度生物动力系统与数据分析,245万

  • 2018.10-2021.12:国家自然科学基金面上项目,61772017(负责人)雾霾与典型疾病复杂关联的统计计算与动力学模型研究,51万

  • 2018.01-2023.12:获得陕西省科技创新领军人才称号,100万

  • 2021.01-2026.12:国家自然科学基金重点项目,12031010(负责人)新发重大传染病预测预警系统构建和防控措施评估研究,248万

教育科研奖励

  • 混合生物动力系统及其应用研究,陕西省自然科学二等奖,2015

讲授课程

  • 1. 本科:  数学分析,数学分析选讲,常微分方程,统计分析与R软件

  • 2. 研究生: 微分方程稳定性与定性理论,脉冲微分方程理论及应用,生物数学原理,生物数学与常用数学软件,Bayesian分析


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