Transmission dynamics model and the coronavirus disease 2019 epidemic: applications and challenges.

Guan, Jinxing; Zhao, Yang; Wei, Yongyue; Shen, Sipeng; You, Dongfang; Zhang, Ruyang; Lange, Theis; Chen, Feng

Guan, Jinxing; Zhao, Yang; Wei, Yongyue; Shen, Sipeng; You, Dongfang; Zhang, Ruyang; Lange, Theis; Chen, Feng.

Affiliation

Guan J; Departments of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.
Zhao Y; Departments of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.
Wei Y; China International Cooperation Center for Environment and Human Health, Center for Global Health, Nanjing Medical University, Nanjing, Jiangsu, China.
Shen S; Center of Biomedical BigData, Nanjing Medical University, Nanjing, Jiangsu, China.
You D; Departments of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.
Zhang R; China International Cooperation Center for Environment and Human Health, Center for Global Health, Nanjing Medical University, Nanjing, Jiangsu, China.
Lange T; Departments of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.
Chen F; Departments of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.

Med Rev (Berl) ; 2(1): 89-109, 2022 Feb 01.

Article in En | MEDLINE | ID: mdl-35658113

Key words

SEIR; SIR; compartment model; coronavirus disease 2019; novel coronavirus pneumonia; transmission dynamics model

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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Med Rev (Berl) Year: 2022 Document type: Article Affiliation country: China Country of publication: Alemania

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