Current trends and future prediction of novel coronavirus disease (COVID-19) epidemic in China: a dynamical modeling analysis
type: Item
instance of: scholarly article
title: Current trends and future prediction of novel coronavirus disease (COVID-19) epidemic in China: a dynamical modeling analysis
zbMATH Open document ID: 1467.92230
author: Kai Wang
author: Zhen-Zhen Lu
author: Xiaomeng Wang
author: Hui Li
author: Huling Li
author: Dandan Lin
author: Yongli Cai
author: Xing Feng
author: Yateng Song
author: Zhiwei Feng
author: Weidong Ji
author: Yi Yin
author: Lei Wang
author: Zhihang Peng
author: Xiao-Yan Wang
published in: Mathematical Biosciences and Engineering
publication date: 2021-07-07T00:00:00Z
Mathematics Subject Classification ID: 92D30
Mathematics Subject Classification ID: 34C60
zbMATH DE Number: 7369155
zbMATH Keywords: novel coronavirus
zbMATH Keywords: dynamical model
zbMATH Keywords: Markov chain Monte Carlo
zbMATH Keywords: peak time
zbMATH Keywords: basic reproduction number
MaRDI profile type: Publication
full work available at URL: mbe.2020173
OpenAlex ID: W3015357447
Wikidata QID: Q100312412
cites work: On the definition and the computation of the basic reproduction ratio \(R_ 0\) in models for infectious diseases in heterogeneous populations
cites work: Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission
DOI: 10.3934/MBE.2020173
description: scientific article; zbMATH DE number 7369155