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http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/1837
Phase- and epidemic region-adjusted estimation of the number of coronavirus disease 2019 cases in China. | |
Chang Ruijie. Wang Huwen. Zhang Shuxian. Wang Zezhou. Dong Yinqiao. Tsamlag Lhakpa. Yu Xiaoyue. Xu Chen. Yu Yuelin. Long Rusi. Liu Ning-Ning. Chu Qiao. Wang Ying. Xu Gang. Shen Tian. Wang Suping. Deng Xiaobei. Huang Jinyan. Zhang Xinxin. Wang Hui. Cai Yong. | |
Acceso Abierto | |
Atribución-NoComercial-SinDerivadas | |
10.1007/s11684-020-0768-7 | |
The outbreak of the coronavirus disease 2019 was first reported in Wuhan in December 2019 and gradually spread to other areas in China. After implementation of prevention and control measures, the estimation of the epidemic trend is needed. A phase- and region-adjusted SEIR model was applied for modeling and predicting the number of cases in Wuhan, Hubei Province and regions outside Hubei Province in China. The estimated number of infections could reach its peak in late February 2020 in Wuhan and Hubei Province, which is 55 303–84 520 and 83 944–129 312, respectively, while the epidemic peaks in regions outside Hubei Province in China could appear on February 13, 2020 with the estimated 13 035–19 108 cases. According to the estimation, the outbreak would abate in March and April all over China. Current estimation provided evidence for planned work resumption under stringent prevention and control in China to further support the fight against the epidemic. Nevertheless, there is still possibility of the second outbreak brought by the work resumption and population migration, especially from Hubei Province and high intensity cities outside Hubei Province. Strict prevention and control measures still need to be considered in the regions with high intensity of epidemic and densely-populated cities. | |
Frontiers of Medicine | |
2020 | |
Artículo | |
https://link.springer.com/content/pdf/10.1007/s11684-020-0768-7.pdf | |
Inglés | |
VIRUS RESPIRATORIOS | |
Aparece en las colecciones: | Artículos científicos |
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