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唐彪 |
1.生物数学、传染病动力学
2.生物统计、公共卫生和医学大数据分析、参数估计等
3.生物信息、GWAS、孟德尔随机化分析
4.神经动力系统、神经常微分方程
5.非光滑动力系统、分支理论
6. 国家自然科学基金委员会，青年项目，“群体行为与新冠疫情双向反
馈系统动力学研究及数据分析”， 2022-01-2024-12, 30万，主持；
5. 西安交通大学，青年拔尖人才支持计划，2020-10，100万，主持；
4. 国家自然科学基金委员会，重点项目，12031010，“新发重大传染病
预测预警系统构建和防控措施评估研究”，2021-01至2025-12，248万，在研，参加；
3. 加拿大卫生研究院(CIHR), “Mathematical Modelling of COVID-19”，Two-year grant, 666,667 CAD (加元)，在研，参加；
2. 国家自然科学基金委员会，面上项目，11571273，“Filippov系统在传染病动态控制中的应用研究”，2016-01至2019-12，50万，已结题，参加；
1. 加拿大卫生研究院和国家研究中心，国际合作项目，“Assessing ZIKV transmission dynamics and mitigation strageties. A multidisciplinary approach”, 2016-10至2019-10, 499,866 CAD(加元)，已结题，参加。
10篇代表性论文
1、Biao Tang, Weike Zhou, Xia Wang, Hulin Wu, Yanni Xiao*, Controlling Multiple COVID-19 Epidemic Waves: An Insight from a Multi-scale Model Linking the Behaviour Change Dynamics to the Disease Transmission Dynamics. Bulletin of Mathematical Biology, 84(10): 106 (2022).
2、Biao Tang, Xue Zhang, Qian Li, et al. The minimal COVID-19 vaccination coverage and efficacy to compensate for potential increase of transmission contacts, and increased transmission probability of the emerging strains. BMC Public Health, 22(1): 1-13 (2022).
3、Biao Tang*, Qian Li, Yanni Xiao, Sivabal Sivaloganathan, A novel hybrid model of tumor control, combining pulse surveillance with tumor size-guided therapies. Applied Mathematical Modelling, 104, 259-278 (2022).
4、Biao Tang, Fan Xia, Nicola Luigi Bragazzi, et al., Lessons drawn from China and South Korea for managing COVID-19 epidemic: insights from a comparative modeling study, ISA Transactions, 124, 164-175 (2022).
5、Weike Zhou#, Biao Tang#, Yao Bai, Yiming Shao, Yanni Xiao*, Sanyi Tang*, The resurgence risk of COVID-19 in China in the presence of immunity waning and ADE: a mathematical modelling study. Vaccine, 40(49): 7141-7150 (2022).
6、Biao Tang*, Wuqiong Zhao, Sliding dynamics and bifurcations of a Filippov system with nonlinear threshold control, International Journal of Bifurcation and Chaos, 31(14), 2150214 (2021).
7、唐彪，何莎*. 境外输入与无症状感染者病例对COVID-19疫情二次暴发的影响分析, 应用数学学报, 44(4): 492-507, (2021).
8、Biao Tang, Fan Xia, Sanyi Tang, 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, 95, 288-293 (2020).
9、唐三一，唐彪，Nicola Luigi Bragazzi, et al. COVID-19疫情数据溯源与离散随机传播动力学模型分析.中国科学：数学, 50: 1-16 (2020).
10、Qianqian Zhang, Biao Tang*, Tianyu Chen, Sanyi Tang, Bifurcation analysis of a generalized impulsive Kolmogorov model with applications to pest and disease control, SIAM Journal on Applied Mathematics, 80(4), 1796-1819 (2020).
