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Volume 36, Issue 3
The Impact of Multilateral Imported Cases of COVID-19 on the Epidemic Control in China

Jiwei Jia, Siyu Liu, Jian Ding, Guidong Liao, Lihua Zhang & Ran Zhang

DOI: 10.4208/cmr.2020-0017

Commun. Math. Res., 36 (2020), pp. 320-335.

Published online: 2020-07

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  • Abstract

While the spread of COVID-19 in China is under control, the pandemic is developing rapidly around the world. Due to the normal migration of population, China is facing the high risk from imported cases. The potential specific medicine and vaccine are still in the process of clinical trials. Currently, controlling the impact of imported cases is the key to prevent new outbreak of COVID-19 in China. In this paper, we propose two impulsive systems to describe the impact of multilateral imported cases of COVID-19. Based on the published data, we simulate and analyze the epidemic trends under different control strategies. In particular, we compare four different scenarios and show the corresponding medical burden. The results can be useful in designing appropriate control strategy for imported cases in practice.

  • Keywords

COVID-19, multilateral imported cases, impulsive system, numerical simulation.

  • AMS Subject Headings

92D30, 34A37

  • Copyright

COPYRIGHT: © Global Science Press

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@Article{CMR-36-320, author = {Jia , JiweiLiu , SiyuDing , JianLiao , GuidongZhang , Lihua and Zhang , Ran}, title = {The Impact of Multilateral Imported Cases of COVID-19 on the Epidemic Control in China}, journal = {Communications in Mathematical Research }, year = {2020}, volume = {36}, number = {3}, pages = {320--335}, abstract = {

While the spread of COVID-19 in China is under control, the pandemic is developing rapidly around the world. Due to the normal migration of population, China is facing the high risk from imported cases. The potential specific medicine and vaccine are still in the process of clinical trials. Currently, controlling the impact of imported cases is the key to prevent new outbreak of COVID-19 in China. In this paper, we propose two impulsive systems to describe the impact of multilateral imported cases of COVID-19. Based on the published data, we simulate and analyze the epidemic trends under different control strategies. In particular, we compare four different scenarios and show the corresponding medical burden. The results can be useful in designing appropriate control strategy for imported cases in practice.

}, issn = {2707-8523}, doi = {https://doi.org/10.4208/cmr.2020-0017}, url = {http://global-sci.org/intro/article_detail/cmr/17851.html} }
TY - JOUR T1 - The Impact of Multilateral Imported Cases of COVID-19 on the Epidemic Control in China AU - Jia , Jiwei AU - Liu , Siyu AU - Ding , Jian AU - Liao , Guidong AU - Zhang , Lihua AU - Zhang , Ran JO - Communications in Mathematical Research VL - 3 SP - 320 EP - 335 PY - 2020 DA - 2020/07 SN - 36 DO - http://doi.org/10.4208/cmr.2020-0017 UR - https://global-sci.org/intro/article_detail/cmr/17851.html KW - COVID-19, multilateral imported cases, impulsive system, numerical simulation. AB -

While the spread of COVID-19 in China is under control, the pandemic is developing rapidly around the world. Due to the normal migration of population, China is facing the high risk from imported cases. The potential specific medicine and vaccine are still in the process of clinical trials. Currently, controlling the impact of imported cases is the key to prevent new outbreak of COVID-19 in China. In this paper, we propose two impulsive systems to describe the impact of multilateral imported cases of COVID-19. Based on the published data, we simulate and analyze the epidemic trends under different control strategies. In particular, we compare four different scenarios and show the corresponding medical burden. The results can be useful in designing appropriate control strategy for imported cases in practice.

Jia , JiweiLiu , SiyuDing , JianLiao , GuidongZhang , Lihua and Zhang , Ran. (2020). The Impact of Multilateral Imported Cases of COVID-19 on the Epidemic Control in China. Communications in Mathematical Research . 36 (3). 320-335. doi:10.4208/cmr.2020-0017
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