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Modeling and Prediction of COVID-19 with Long Incubation Period Under High-Intensity Control in China

  • China Agricultural University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

At the end of 2019, coronavirus disease (COVID-19) broke out in Wuhan, Hubei. With the spring festival travel rush, the epidemic spread rapidly to other provinces and even overseas. In the view of this epidemic, in this paper, we improved the classic SEIR model, introducing a new parameter, average delay time, to describe the incubation period and time for nucleic acid detection. Based on the data published by the National Health Commission of China, parameters of the model were estimated first. Then the model was used to simulate the development of COVID-19. The number of new confirmed cases and remaining confirmed cases of each day are predicted. Finally, the results show that the model is well fit for the actual data. By now, this epidemic has been basically under control, and under the current medical level and control measurements, it is hoped to announce the end of COVID-19 in China before May.

源语言英语
主期刊名Advances in Guidance, Navigation and Control - Proceedings of 2020 International Conference on Guidance, Navigation and Control, ICGNC 2020
编辑Liang Yan, Haibin Duan, Xiang Yu
出版商Springer Science and Business Media Deutschland GmbH
3863-3873
页数11
ISBN(印刷版)9789811581540
DOI
出版状态已出版 - 2022
活动International Conference on Guidance, Navigation and Control, ICGNC 2020 - Tianjin, 中国
期限: 23 10月 202025 10月 2020

出版系列

姓名Lecture Notes in Electrical Engineering
644 LNEE
ISSN(印刷版)1876-1100
ISSN(电子版)1876-1119

会议

会议International Conference on Guidance, Navigation and Control, ICGNC 2020
国家/地区中国
Tianjin
时期23/10/2025/10/20

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