Modeling the COVID-19 Outbreak in China through Multi-source Information Fusion

The Innovation - Tập 1 - Trang 100033 - 2020
Lin Wu1, Lizhe Wang2, Nan Li3, Tao Sun1,4, Tangwen Qian1,4, Yu Jiang1,4, Fei Wang1, Yongjun Xu1
1Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China
2China University of Geosciences (Wuhan), Wuhan , China
3Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China
4University of Chinese Academy of Sciences, Beijing, China

Tài liệu tham khảo

Huang, 2020, Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China, Lancet, 395, 497, 10.1016/S0140-6736(20)30183-5 Imai, 2020 Li, 2020, Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia, N. Engl. J. Med., 382, 1199, 10.1056/NEJMoa2001316 Wu, 2020, Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study, Lancet, 395, 689, 10.1016/S0140-6736(20)30260-9 Thompson, 2020 Verity, 2020, Estimates of the severity of coronavirus disease 2019: a model-based analysis, Lancet Infect. Dis., 20, 669, 10.1016/S1473-3099(20)30243-7 Salje, 2020, Estimating the burden of SARS-CoV-2 in France, Science, 369, 208, 10.1126/science.abc3517 Zhang, 2020, Changes in contact patterns shape the dynamics of the COVID-19 outbreak in China, Science, 368, 1481, 10.1126/science.abb8001 Mizumoto, 2020, Estimating the asymptomatic proportion of coronavirus disease 2019 (COVID-19) cases on board the Diamond Princess cruise ship, Yokohama, Japan, 2020, Eurosurveillance, 25, 2000180, 10.2807/1560-7917.ES.2020.25.10.2000180 He, 2020, Temporal dynamics in viral shedding and transmissibility of COVID-19, Nat. Med., 26, 672, 10.1038/s41591-020-0869-5