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Propagation analysis and prediction of the COVID-19

Based on the official data modeling, this paper studies the transmission process of the Corona Virus Disease 2019 (COVID-19). The error between the model and the official data curve is quite small. At the same time, it realized forward prediction and backward inference of the epidemic situation, and...

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Autores principales: Li, Lixiang, Yang, Zihang, Dang, Zhongkai, Meng, Cui, Huang, Jingze, Meng, Haotian, Wang, Deyu, Chen, Guanhua, Zhang, Jiaxuan, Peng, Haipeng, Shao, Yiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: KeAi Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7118312/
https://www.ncbi.nlm.nih.gov/pubmed/32292868
http://dx.doi.org/10.1016/j.idm.2020.03.002
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author Li, Lixiang
Yang, Zihang
Dang, Zhongkai
Meng, Cui
Huang, Jingze
Meng, Haotian
Wang, Deyu
Chen, Guanhua
Zhang, Jiaxuan
Peng, Haipeng
Shao, Yiming
author_facet Li, Lixiang
Yang, Zihang
Dang, Zhongkai
Meng, Cui
Huang, Jingze
Meng, Haotian
Wang, Deyu
Chen, Guanhua
Zhang, Jiaxuan
Peng, Haipeng
Shao, Yiming
author_sort Li, Lixiang
collection PubMed
description Based on the official data modeling, this paper studies the transmission process of the Corona Virus Disease 2019 (COVID-19). The error between the model and the official data curve is quite small. At the same time, it realized forward prediction and backward inference of the epidemic situation, and the relevant analysis help relevant countries to make decisions.
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spelling pubmed-71183122020-04-03 Propagation analysis and prediction of the COVID-19 Li, Lixiang Yang, Zihang Dang, Zhongkai Meng, Cui Huang, Jingze Meng, Haotian Wang, Deyu Chen, Guanhua Zhang, Jiaxuan Peng, Haipeng Shao, Yiming Infect Dis Model Special issue on Modelling and Forecasting the 2019 Novel Coronavirus (2019-nCoV) Transmission; Edited by Prof. Carlos Castillo-Chavez, Prof. Gerardo Chowell-Puente, Prof. Ping Yan, Prof. Jianhong Wu Based on the official data modeling, this paper studies the transmission process of the Corona Virus Disease 2019 (COVID-19). The error between the model and the official data curve is quite small. At the same time, it realized forward prediction and backward inference of the epidemic situation, and the relevant analysis help relevant countries to make decisions. KeAi Publishing 2020-03-31 /pmc/articles/PMC7118312/ /pubmed/32292868 http://dx.doi.org/10.1016/j.idm.2020.03.002 Text en © 2020 The Authors. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Special issue on Modelling and Forecasting the 2019 Novel Coronavirus (2019-nCoV) Transmission; Edited by Prof. Carlos Castillo-Chavez, Prof. Gerardo Chowell-Puente, Prof. Ping Yan, Prof. Jianhong Wu
Li, Lixiang
Yang, Zihang
Dang, Zhongkai
Meng, Cui
Huang, Jingze
Meng, Haotian
Wang, Deyu
Chen, Guanhua
Zhang, Jiaxuan
Peng, Haipeng
Shao, Yiming
Propagation analysis and prediction of the COVID-19
title Propagation analysis and prediction of the COVID-19
title_full Propagation analysis and prediction of the COVID-19
title_fullStr Propagation analysis and prediction of the COVID-19
title_full_unstemmed Propagation analysis and prediction of the COVID-19
title_short Propagation analysis and prediction of the COVID-19
title_sort propagation analysis and prediction of the covid-19
topic Special issue on Modelling and Forecasting the 2019 Novel Coronavirus (2019-nCoV) Transmission; Edited by Prof. Carlos Castillo-Chavez, Prof. Gerardo Chowell-Puente, Prof. Ping Yan, Prof. Jianhong Wu
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7118312/
https://www.ncbi.nlm.nih.gov/pubmed/32292868
http://dx.doi.org/10.1016/j.idm.2020.03.002
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