Modeling and analysis of COVID-19 based on a time delay dynamic model
type: Item
instance of: scholarly article
title: Modeling and analysis of COVID-19 based on a time delay dynamic model
zbMATH Open document ID: 1471.92363
author: Cong Yang
author: Yali Yang
author: Lisheng Zhang
author: Zhi-wei Li
published in: Mathematical Biosciences and Engineering
publication date: 2021-09-03T00:00:00Z
Mathematics Subject Classification ID: 92D30
zbMATH DE Number: 7390884
zbMATH Keywords: COVID-19
zbMATH Keywords: time delay dynamics system
zbMATH Keywords: parameter inversion
MaRDI profile type: Publication
full work available at URL: mbe.2021008
OpenAlex ID: W3110278131
cites work: When will be the resumption of work in Wuhan and its surrounding areas during COVID-19 epidemic? A data-driven network modeling analysis
cites work: Analysis of COVID-19 epidemic traced data and stochastic discrete transmission dynamic model
cites work: Estimation of parameters in a structured SIR model
cites work: A time delay dynamical model for outbreak of 2019-nCov and the parameter identification
DOI: 10.3934/MBE.2021008
description: scientific article; zbMATH DE number 7390884