A time delay dynamic system with external source for the local outbreak of 2019-nCoV. Issue 1 (2nd January 2022)

• Record Type: Journal Article
• Authors: Chen, Yu; Cheng, Jin; Jiang, Yu; Liu, Keji
• Is Part Of: Applicable analysis. Volume 101:Issue 1(2022)
• Page Start: 146
• Page End: 157
• Publication Date: 2022-01-02
• Subjects: Y. S. Xu; Dynamic system -- external source -- prediction -- 2019-nCoV; 35R30 -- 65N21; Mathematical analysis -- Periodicals; 515
• DOI: 10.1080/00036811.2020.1732357
• Languages: English
• ISSNs: 0003-6811

Abstract

Abstract : How to model the 2019 CoronaVirus (2019-nCov) spread in China is one of the most urgent and interesting problems in applied mathematics. In this paper, we propose a novel time delay dynamic system with external source to describe the trend of local outbreak for the 2019-nCoV. The external source is introduced in the newly proposed dynamic system, which can be considered as the suspected people travel to different areas. The numerical simulations exhibit the dynamic system with the external source is more reliable than the one without it, and the rate of isolation is extremely important for controlling the increase of cumulative confirmed people of 2019-nCoV. Based on our numerical simulation results with the public data, we suggest that the local government should have some more strict measures to maintain the rate of isolation. Otherwise the local cumulative confirmed people of 2019-nCoV might be out of control.