Dynamic models for Coronavirus Disease 2019 and data analysis-Reference-Cited by-同舟云学术

Dynamic models for Coronavirus Disease 2019 and data analysis

Published:2020-03-24 Issue:7 Volume:43 Page:4943-4949
ISSN:0170-4214
Container-title:Mathematical Methods in the Applied Sciences
language:en
Short-container-title:Math Meth Appl Sci

Author:

Shao Nian¹,Zhong Min²,Yan Yue³,Pan HanShuang¹,Cheng Jin¹⁴,Chen Wenbin¹⁴

Affiliation:

1. School of Mathematical Sciences; Fudan University; Shanghai China

2. School of Mathematics; Southeast University; Nanjing China

3. School of Mathematics; Shanghai University of Finance and Economics; Shanghai China

4. Shanghai Key Laboratory for Contemporary Applied Mathematics; Fudan University; Shanghai China

Publisher

Wiley

Subject

General Engineering,General Mathematics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/mma.6345/fullpdf

Reference16 articles.

1. Chen Y Cheng J Jiang Y Liu K A time delay dynamical model for outbreak of 2019-nCoV and the parameter identification 2002

2. Modeling and prediction for the trend of outbreak of 2019-nCoV based on a time-delay dynamic system (in Chinese);Yan;Sci Sin Math,2020

3. A time delay dynamic system with external source for the local outbreak of 2019-nCoV;Chen;Applicable Analysis,2020

4. Chen Y Cheng J Jiang X Xu X The reconstruction and prediction algorithm of the fractional TDD for the local outbreak of COVID-19 2020

5. Shao N Shao N Chen Y Cheng J Chen W Some novel statistical time delay dynamic model by statistics data from CCDC on Novel Coronavirus Pneumonia submitted to Journal of Control Theory and Applications (in Chinese) 2020

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