基本情况

2015年6月毕业于西安交通大学，获理学博士学位，同年进入bevictor伟德官网数学与信息科学学院工作；2017年12月晋升为副研究员；2022年12月晋升为教授。曾到美国Rochester大学和日本Hokkaido大学访学；主要从事流行病动力学及数据分析研究。

代表性学术论文

• 1. Wuqiong Zhao, Xia Wang, Biao Tang*, The impacts of spatial–temporal heterogeneity of human-to-human contacts on the extinction probability of infectious disease from branching process model. Journal of Theoretical Biology 579 (2024) 111703.
  

• 2. 杨蕊, 龙佳敏, 王霞, 王长军, 陈勇, 我国登革热的流行特征及监测预警研究进展. 中华流行病学杂志, 2024, 45, 2.

• 3. Lili Liu, Xi Wang, Ou Liu, Yazhi Li, Zhen Jin, Sanyi Tang, Xia Wang*, Valuation and comparison of the actual and optimal control strategy in an emerging infectious disease: Implication from a COVID-19 transmission model. Infectious Disease Modelling 9 (2024) 354e372.

• 4. Sha He, Weike Zhou, Xia Wang, Sanyi Tang*, Modelling and analysis of the cross-impact of age heterogeneity and behavioural changes on the evolution of disease transmission. Computational and Applied Mathematics (2024) 43:142.

• 5. Sanyi Tang, Shuo Li, Biao Tang, Xia Wang*, Yanni Xiao, Robert A.Cheke. Hormetic and synergistic effects of cancer treatments revealed by modelling combinations of radio - or chemotherapy with immunotherapy. BMC Cancer. 2023, 23:1040.

• 6. Yuanyuan Wu, Weike Zhou, Sanyi Tang, Robert A. Cheke and Xia Wang*. Prediction of the next major outbreak of COVID-19 in Mainland China and a vaccination strategy for it. R. Soc. Open Sci. 2023, 10: 230655. https://doi.org/10.1098/rsos.230655

• 7. Sanyi Tang*, Xia Wang, Biao Tang, Sha He, Dingding Yan, Chenxi Huang, Yiming Shao, Yanni Xiao* and Robert A. Cheke.Threshold conditions for curbing COVID-19 with a dynamic zero-case policy derived from 101 outbreaks in China; BMC Public Health; 2023, 23:1084.

• 8. Sha He, Dingding Yan, Hongying Shu, Sanyi Tang, Xia Wang*, Robert A. Cheke. Randomness accelerates the dynamic clearing process of the COVID-19 outbreaks in China. 2023, Mathematical Biosciences, 363 (2023) 109055.

• 9. Yan Liu, Xia Wang*, Sanyi Tang, Robert Cheke*. The relative importance of key meteorological factors affecting numbers of mosquito vectors of dengue fever. PLoS Negl Trop Dis, 2023. 17(4): e0011247.

• 10. Yanyang Guo, Li Fan, Xia Wang. Mathematical investigation of the role of re-polarisation of M2 in cancer therapy. Discrete and Continuous Dynamical Systems - Series B. 2023, 28(4): 2718-2744.

• 11. Han Tu, Xia Wang*, Sanyi Tang. Exploring COVID-19 transmission patterns and key factors during epidemics caused by three major strains in Asia. Journal of Theoretical Biology, 557 (2023) 111336.

• 12. 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, 2022. 84:106.

• 13. Xia Wang, Hulin Wu, Sanyi Tang*. Assessing Age-Specific Vaccination Strategies and Post-Vaccination Reopening Policies for COVID-19 Control Using SEIR Modeling Approach. Bulletin of Mathematical Biology, 2022. 84:108.

• 14. 王霞*，刘燕，土晗，唐彪，周伟柯，唐三一。南京关联新冠肺炎疫情及外溢风险的网络模型分析。应用数学学报，2022,45(4):521-532.

• 15. Biao Tang, Fan Xia, Nicola Luigi Bragazzi*, Zachary McCarthy, Xia Wang, Sha He, Xiaodan Sun, Sanyi Tang, Yanni Xiao, Jianhong Wu. Lessons drawn from China and South Korea for managing COVID-19 epidemic: Insights from a comparative modeling study. ISA Transactions, 2022, 124(6):164-175.

• 16. Xia Wang, Hiroshi Nishiura*. The Epidemic Risk of Dengue Fever in Japan: Climate Change and Seasonality. Canadian Journal of Infectious Diseases and Medical Microbiology, 2021, 6699788.

• 17. Xia Wang, Gang Yin, Zengyun Hu, et al., Dynamical Variations of the Global COVID-19 Pandemic Based on a SEICR Disease Model: A New Approach of Yi Hua Jie Mu. GeoHealth, 2021

• 18. Xia Wang, Qian Li, Xiaodan Sun, Sha He, Fan Xia, Pengfei Song, et al. Effects of medical resource capacities and intensities of public mitigation measures on outcomes of COVID-19 outbreaks. BMC Public Health, 2021. https://doi.org/10.1186/s12889-021-10657-4

• 19. Cheke A.R., Young S., Wang X., et al., Evidence for a causal relationship between the solar cycle and locust abundance. Agronomy

• 20. Duo Yu, Gen Zhu, Xueying Wang, Chenguang Zhang, Babak Soltanalizadeh, Xia Wang, Sanyi Tang, Hulin Wu. Assessing effects of reopening policies on COVID-19 pandemic in Texas with a data-driven transmission model Infectious Disease Modelling. DOI: 10.1016/j.idm.2021.02.001

• 21. Weike Zhou, Aili Wang, Xia Wang, Robert Cheke, Yanni Xiao, Sanyi Tang. Impact of Hospital Bed Shortages on the Containment of COVID-19 in Wuhan. International Journal of Environmental Research and Public Health, 2020, 17: 8560.

• 22. 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，2020, 50(7):1-10.

• 23. 唐三一, 唐彪, Bragazzi NL 等. 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， 2020; 50: 1-16.

• 24. Tang B, Wang X, Li Q, et al. Estimation of the Transmission Risk of the 2019-nCoV and Its Implication for Public Health Interventions. J.Clin. Med. 2020; 9: 462.

• 25. Xiaomei Feng, Jing Chen, Kai Wang, Lei Wang, Fengqin Zhang, Zhen Jin, Lan Zou, Xia Wang*. Phase-adjusted estimation of the COVID-19 outbreak in South Korea under multi-source data and adjustment measures: a modelling study. Mathematical Biosciences and Engineering, 2020, 17(4): 3637-3648.

• 26. Zengyun Hu, Qianqian Cui, Junmei Han, Xia Wang, Wei E.I. Sha, Zhidong Teng. Evaluation and prediction of the COVID-19 variations at different input population and quarantine strategies, a case study in Guangdong province, China. International journal of infectious diseases. 95 : 231-240.

• 27. 曹明，王霞，唐三一. 污染化境中广义单种群模型的动力学行为分析. 工程数学学报，2020, 37(1): 27-42.

• 28. Xia Wang, Sanyi Tang, Jianhong Wu, Robert A. Cheke*. A combination of climatic conditions determines major within-season dengue outbreaks in Guangdong Province, China. Parasites & Vectors, 2019, https://doi.org/10.1186/s13071-019-3295-0.

• 29. Sanyi Tang, Changtong Li, Biao Tang, Xia Wang*. Global dynamics of a nonlinear state-dependent feedback control ecological model with a multiple-hump discrete map. Communications in Nonlinear Science and Numerical Simulation, 2019, 79, 104900.

• 30. Hao Zhou, Xia Wang*, Sanyi Tang. Global dynamics of non-smooth Filippov pest-natural enemy system with constant releasing rate. Mathematical Biosciences and Engineering, 2019, 16(6), 7327-7361.

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

• 32. Sanyi Tang, 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.

• 33. Xia Wang, Zihui Xu, Sanyi Tang. Cumulative effects of incorrect use of pesticides can lead to catastrophic outbreaks of pests. Chaos Solitons & Fractals , 2017, 100, 7-19.

• 34. Xia Wang, Yuan Tian, Sanyi Tang. A Holling Type II Pest and Natural Enemy Model with Density Dependent IPM Strategy. Mathematical Problem in Engineering, 2017, 8683207, 1-12.

• 35. Xia Wang*, Sanyi Tang. A multiscale model on hospital infections coupling macro and micro dynamics. Communications in Nonlinear Science and Numerical Simulation, 2017, 50, 256-270.

• 36. Yi Jing, Xia Wang*, Sanyi Tang, Jianhong Wu. Data informed analysis of 2014 dengue fever outbreak in Guangzhou: impact of multiple environmental factors and vector control. Journal of Theoretical Biology. 2017, 416, 161-179.

• 37. Xia Wang, Yuying Wang. Novel dynamics of a predator–prey system with harvesting of the predator guided by its population. Applied Mathematical Modelling, 2017, 42: 636-654.

• 38. Xia Wang, Sanyi Tang, Robert A. Cheke. A stage structured mosquito model incorporating effects of precipitation and daily temperature fluctuations. Journal of Theoretical Biology, 2016, 411: 27–36.

• 39. Xia Wang, Yong Chen, Wei Zhao, Yan Wang, Qing Song, Hui Liu, Jingya Zhao, Xuelin Han, Xiaohua Hu, Hajo Grundmann, Yanni Xiao, Li Han*. A data-driven mathematical model of multi-drug resistant Acinetobacter baumannii transmission in an intensive care unit. Scientific Reports, 2015, 5: 9478.

• 40. Xia Wang, Yanni Xiao*, Junrui Wang, Xinxin Lu . Stochastic disease dynamics of a hospital infection model. Mathematical Biosciences, 2013, 241:115-124.

• 41. Xia Wang, Yanni Xiao*, Jiurui Wang, Xinxin Lu. A mathematical model of effects of environmental contamination and presence of volunteers on hospital infections in China. Journal of Theoretical Biology, 2012, 293:161-173.

教育科研项目

• 1. 国家自然科学基金面上项目，12171295，登革热暴发的关键气象与区域特征建模及预警系统研究，2022/1至2025/12，在研，主持
  

• 2. 陕西省创新人才推进计划-青年科技新星项目，2022KJXX-29，重大传染病多因素影响分析和防控措施评估，2022/1至2023/12，结题，主持。

• 3. 国家自然科学基金重点项目，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，2021/1至2025/12，在研，参与。

• 4. 国家自然科学基金青年项目，11601301，耐药菌流行与传播多尺度系统及监测数据分析. 2017/1-2019/12，结题，主持。

• 5. 中国博士后基金，2016M 602758，医院内感染多尺度数学模型与数据分析研究，2016/10-2018/7，结题，主持。

• 6. 陕西省高校科协青年人才托举计划项目资助，20160212，基于个体的医院内感染模型研究，2017/1-2018/12，结题，主持。

教育科研奖励

• 1. 非光滑系统理论与突发性传染病防控决策研究，陕西高等学校科学技术研究优秀成果奖，一等奖，2022年（第二完成人）。

• 2. 数据和问题驱动的传染病动力学研究,陕西高等学校科学技术奖，一等奖，2017年（第二完成人）。

讲授课程

《高等数学》、《文科高数》、《统计计算》、《贝叶斯统计》、《统计分析与软件》