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新冠病毒爆发和发展模式研究

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新冠病毒爆发和发展模式研究

　　自2020年以来，周教授带领团队充分发挥数学、统计学和医学的交叉科研优势，综合利用流行病学数据、病毒基因数据、交通流量数据等信息，从统计和数学模型相结合的角度，针对新冠病毒的传播特征、发展规律、感染人数、疫苗播种策略等关键问题，开展创新性的数学和统计模型研究。在交叉学科顶尖期刊Science Advances和Nature Communications、生物统计顶刊Biometrics、中国工程院官方刊物Engineering等杂志上发表相关论文22篇。此外，周教授的研究成果被国家疾病预防控制局、湖北省疾病预防控制中心采纳。国家疾病预防控制局评价评价周教授团队的科研成果为国家优化新冠疫情防控策略提供了重要参考。

部分发表文章：
  1. Tan Y., Zhang Y., Cheng X., Zhou XH. Statistical inference using GLEaM model with spatial heterogeneity and correlation between regions. Scientific Reports, 2022. DOI: 10.1038/s41598-022-18775-8
  2. Dong R., Hu T., Zhang Y., Li Y., Zhou XH. Assessing the Transmissibility of the New SARS-CoV-2 Variants: From Delta to Omicron. Vaccines 2022. DOI: 10.3390/vaccines10040496
  3. Han S., Zhang T., Lyu Y., Lai S., Dai P., Zheng J., Yang W., Zhou XH., Feng L. Influenza's Plummeting during the COVID-19 Pandemic: The Roles of Mask-Wearing Mobility Change and SARS-CoV-2 Interference. Engineering 2022. DOI: 10.1016/j.eng.2021.12.011
  4. Li Y., Zhang Y., Liang M., Zhang Y., Ma X., Zhang Y., Zhou XH. Lack of evolutionary changes identified in SARS-CoV-2 for the re-emerging outbreak of COVID-19 in Beijing China. Biosafety and Health 2022. DOI: 10.1016/j.bsheal.2021.12.001
  5. Wang R., Wang J., Hu T., Zhou XH. Population‐Level Effectiveness of COVID‐19 Vaccination Program in the United States: Causal Analysis Based on Structural Nested Mean Model. Vaccines 2022. DOI: 10.3390/vaccines10050726
  6. Zhou F., Hu T., Zhang XY, Lai K., Chen J., Zhou XH. The association of intensity and duration of non-pharmacological interventions and implementation of vaccination with COVID-19 infection death and excess mortality: Natural experiment in 22 European countries. Journal of Infection and Public Health 2022. DOI: 10.1016/j.jiph.2022.03.011
  7. Deng Y., You C., Liu Y., Qin J., Zhou XH. Estimation of incubation period and generation time based on observed length-biased epidemic cohort with censoring for COVID-19 outbreak in China. Biometrics. 2021; 77:929–941. https://doi.org/10.1111/biom.13325
  8. Han S., Cai J., Yang J., Zhang J, Wu Q., Zheng W., Shi H., Ajelli M., Zhou XH., Yu H. Time-varying optimization of COVID-19 vaccine prioritization in the context of limited vaccination capacity. Nature Communications. 2021, 12(1): 1-10.
  9. Zhou F., You C., Zhang X., Qian K., Hou Y., Gao Y., Zhou, XH. Epidemiological characteristics and factors associated with critical time intervals of COVID-19 in eighteen provinces, China: A retrospective study. International Journal of Infectious Diseases. 2021; DOI: 10.1016/j.ijid.2020.09.1487
  10. Zhang, Y., You C., Gai X., Zhou XH. On Coexistence with COVID-19: Estimations and Perspectives，China CDC Weekly 2021(12)50
  11. Qin J., You C., Lin Q., Hu T., Yu S., Zhou XH. Estimation of incubation period distribution of COVID-19 using disease onset forward time: A novel cross-sectional and forward follow-up study. Science Advances. 2020, 6(33).
  12. Lin Q., Hu T., and Zhou XH. Estimating the daily trend in the size of the COVID-19 infected population in Wuhan. Infect Dis Poverty 9, 69 (2020).
  13. You C., Deng Y., Hu Y., Sun J., Lin Q., Zhou F, Pang C.H., Zhang Y., Chen Z., Zhou XH. Estimation of the time-varying reproduction number of COVID-19 outbreak in China. International Journal of Hygiene and Environmental Health 2020; 228: 113555.
  14. You C., Lin Q., Zhou XH. An Estimation of the Total Number of Cases of NCIP (2019-nCoV) — Wuhan, Hubei Province, 2019–2020. China CDC Weekly, 2020, 2(6): 87-91
  15. Zhang Y., Li Y., Wang L., Li M., Zhou XH. Evaluating Transmission Heterogeneity and Super-Spreading Event of COVID-19 in a Metropolis of China. Int. J. Environ. Res. Public Health 2020, 17(10), 3705.
  16. C. You, X. Gai, Y. Zhang, X. Zhou. Determining the Covertness of COVID-19— Wuhan, China, 2020. China CDC Weekly, 2021.
  17. Y. Zhang, C. You(co-first), Z. Cai, J. Sun, W. Hu, X. Zhou. Prediction of the COVID-19 outbreak in China based on a new stochastic dynamic model. Scientific Report, 2020.