Literature DB >> 32987516

Current trends and future prediction of novel coronavirus disease (COVID-19) epidemic in China: a dynamical modeling analysis.

Kai Wang1, Zhen Zhen Lu2, Xiao Meng Wang3, Hui Li4, Hu Ling Li5, Dan Dan Lin5, Yong Li Cai3, Xing Feng5, Ya Teng Song5, Zhi Wei Feng5, Wei Dong Ji5, Xiao Yan Wang5, Yi Yin1, Lei Wang1, Zhi Hang Peng2,6.   

Abstract

The novel coronavirus disease 2019 (COVID-19) infection broke out in December 2019 in Wuhan, and rapidly overspread 31 provinces in mainland China on 31 January 2020. In the face of the increasing number of daily confirmed infected cases, it has become a common concern and worthy of pondering when the infection will appear the turning points, what is the final size and when the infection would be ultimately controlled. Based on the current control measures, we proposed a dynamical transmission model with contact trace and quarantine and predicted the peak time and final size for daily confirmed infected cases by employing Markov Chain Monte Carlo algorithm. We estimate the basic reproductive number of COVID-19 is 5.78 (95%CI: 5.71-5.89). Under the current intervention before 31 January, the number of daily confirmed infected cases is expected to peak on around 11 February 2020 with the size of 4066 (95%CI: 3898-4472). The infection of COVID-19 might be controlled approximately after 18 May 2020. Reducing contact and increasing trace about the risk population are likely to be the present effective measures.

Entities:  

Keywords:  Markov Chain Monte Carlo ; basic reproduction number ; dynamical model ; novel coronavirus ; peak time

Mesh:

Year:  2020        PMID: 32987516     DOI: 10.3934/mbe.2020173

Source DB:  PubMed          Journal:  Math Biosci Eng        ISSN: 1547-1063            Impact factor:   2.080


  10 in total

Review 1.  Transmission dynamics model and the coronavirus disease 2019 epidemic: applications and challenges.

Authors:  Jinxing Guan; Yang Zhao; Yongyue Wei; Sipeng Shen; Dongfang You; Ruyang Zhang; Theis Lange; Feng Chen
Journal:  Med Rev (Berl)       Date:  2022-02-28

2.  The Impact of Lockdown, Patient Classification, and the Large-Scale Case Screening on the Spread of the Coronavirus Disease 2019 (COVID-19) in Hubei.

Authors:  Shengtao Wang; Yan Li; Ximei Wang; Yuanyuan Zhang; Yiyi Yuan; Yong Li
Journal:  Biomed Res Int       Date:  2022-05-06       Impact factor: 3.246

3.  The spatial transmission of SARS-CoV-2 in China under the prevention and control measures at the early outbreak.

Authors:  Jianli Liu; Yuan Zhou; Chuanyu Ye; Guangming Zhang; Feng Zhang; Chunjuan Song
Journal:  Arch Public Health       Date:  2021-01-13

4.  Estimation of novel coronavirus (COVID-19) reproduction number and case fatality rate: A systematic review and meta-analysis.

Authors:  Tanvir Ahammed; Aniqua Anjum; Mohammad Meshbahur Rahman; Najmul Haider; Richard Kock; Md Jamal Uddin
Journal:  Health Sci Rep       Date:  2021-05-03

5.  Estimation of COVID-19 outbreak size in Harbin, China.

Authors:  Haitao Song; Zhongwei Jia; Zhen Jin; Shengqiang Liu
Journal:  Nonlinear Dyn       Date:  2021-04-10       Impact factor: 5.022

6.  Dynamical analysis of novel COVID-19 epidemic model with non-monotonic incidence function.

Authors:  R Prem Kumar; Sanjoy Basu; Dipankar Ghosh; Prasun Kumar Santra; G S Mahapatra
Journal:  J Public Aff       Date:  2021-09-02

7.  Response of vaccination on community transmission of COVID-19: a dynamical approach.

Authors:  Moirangthem Bidyaluxmi Devi; Arpita Devi; Praveen Kumar Gupta; Dharmendra Tripathi
Journal:  Eur Phys J Spec Top       Date:  2022-08-16       Impact factor: 2.891

8.  Timely and effective media coverage's role in the spread of Corona Virus Disease 2019.

Authors:  Yan Wang; Feng Qing; Haozhan Li; Xuteng Wang
Journal:  Math Methods Appl Sci       Date:  2022-09-23       Impact factor: 3.007

9.  Dynamical characterization of antiviral effects in COVID-19.

Authors:  Pablo Abuin; Alejandro Anderson; Antonio Ferramosca; Esteban A Hernandez-Vargas; Alejandro H Gonzalez
Journal:  Annu Rev Control       Date:  2021-05-28       Impact factor: 6.091

10.  A parametrized nonlinear predictive control strategy for relaxing COVID-19 social distancing measures in Brazil.

Authors:  Marcelo M Morato; Igor M L Pataro; Marcus V Americano da Costa; Julio E Normey-Rico
Journal:  ISA Trans       Date:  2020-12-08       Impact factor: 5.911

  10 in total

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