Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under public health interventions

Journal of Thoracic Disease

Volumn 12, Issue 3, 2020, Pages 165-174

  Yang, Zifeng ^a,b   Zeng, Zhiqi ^a   Wang, Ke ^c   Wong, Sook San ^a,d   Liang, Wenhua ^a   Zanin, Mark ^a,d   Liu, Peng ^e   Cao, Xudong ^e   Gao, Zhongqiang ^e   Mai, Zhitong ^a   Liang, Jingyi ^a   Liu, Xiaoqing ^a   Li, Shiyue ^a   Li, Yimin ^a   Ye, Feng ^a   Guan, Weijie ^a   Yang, Yifan ^f   Li, Fei ^f   Luo, Shengmei ^f   Xie, Yuqi ^a   Liu, Bin ^g   Wang, Zhoulang ^a   Zhang, Shaobo ^c   Wang, Yaonan ^c   Zhong, Nanshan ^a   He, Jianxing ^a   more..

^a GUANGZHOU MEDICAL UNIVERSITY   (China)

^b MACAU UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Macao)

^c Hengqin WhaleMed Technology Co   (China)

^d UNIVERSITY OF HONG KONG   (Hong Kong)

^e JINLING INSTITUTE OF TECHNOLOGY   (China)

^f Standard Testing Lab (Shanghai) Co Ltd   (China)

^g KUNMING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Coronavirus disease 2019 (COVID 19); Epidemic; Modeling; Severe acute respiratory syndrome coronavirus 2 (SARS CoV 2); Susceptible exposed infectious removed (SEIR)

Indexed keywords

ARTICLE; ARTIFICIAL INTELLIGENCE; CHINA; CORONAVIRUS DISEASE 2019; DISEASE EXACERBATION; EPIDEMIC; HUMAN; INFORMATION MODEL; LONG SHORT TERM MEMORY NETWORK; MAJOR CLINICAL STUDY; MODIFIED SUSCEPTIBLE EXPOSED INFECTIOUS REMOVED; POPULATION MIGRATION; SEVERE ACUTE RESPIRATORY SYNDROME CORONAVIRUS 2; SOCIAL BEHAVIOR; TREND STUDY; VIRUS TRANSMISSION;

EID: 85082993298     PISSN: 20721439     EISSN: 20776624     Source Type: Journal    
DOI: 10.21037/jtd.2020.02.64     Document Type: Article

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