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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
KeAi Publishing
2020
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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 |
_version_ | 1783514534659489792 |
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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. |
format | Online Article Text |
id | pubmed-7118312 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | KeAi Publishing |
record_format | MEDLINE/PubMed |
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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