新冠肺炎疫情全球预测

Global Prediction of COVID-19 Pandemic

前期研究

Our Research

前期研究成果

           Our Research Results



1. Huang Z., J. Huang, Q. Gu, et al. 2020: Optimal temperature zone for the dispersal of COVID-19. Science of the Total Environment. DOI: 10.1016/j.scitotenv.2020.139487.



        2. Lian X., J. Huang, L. Zhang and C. Liu. 2020: Environmental indicator for COVID-19 non-pharmaceutical interventions. Geophysical Research Letters. DOI:10.1029/2020GL090344



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       3. Lian X., J. Huang, R. Huang, et al. 2020: Impact of city lockdown on the air quality of COVID-19-hit of Wuhan city. Science of the Total Environment. DOI: 10.1016/j.scitotenv.2020.140556. 目前是 Web of Science 热点论文(TOP 0.1%)



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4. Huang J., X. Liu, L. Zhang, et al. 2020: The amplified second outbreaks of global COVID-19 pandemic. medRxiv. DOI: 10.1101/2020.07.15.20154161.



       5. Huang J., L. Zhang, X. Liu, et al. 2020: Global prediction system for COVID-19 pandemic. Science Bulletin. DOI: 10.1016/j.scib.2020.08.002.



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      6. Liu X., J. Huang, C. Li, et al. 2021: The role of seasonality in the spread of COVID-19 pandemic. Environmental Research. 195, 110874. DOI: 10.1016/j.envres.2021.110874.




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       7. Zhang L., J. Huang, H. Yu, et al.Optimal parameterization of COVID-19 epidemic models. Atmospheric and Oceanic Science Letters. DOI: 10.1016/j.aosl.2020.100024.




undefined       8. Huang J., X. Liu, L. Zhang, et al. The oscillation-outbreaks characteristic of the COVID-19 pandemic, National Science Review, Volume 8, Issue 8, August 2021, nwab100, https://doi.org/10.1093/nsr/nwab100.




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       9. Liu C., J. Huang, F. Ji, et al.Improvement of the global prediction system of the COVID-19 pandemic based on the ensemble empirical mode decomposition (EEMD) and autoregressive moving average (ARMA) model in a hybrid approachAtmospheric and Oceanic Science Letters. DOI: 10.1016/j.aosl.2020.100019.


       

undefined      10. Zhao Y., J. Huang, L. Zhang, et al. The global transmission of new coronavirus variants, Environmental Research, 2021, https://doi.org/10.1016/j.envres.2021.112240.