Literature DB >> 35582631

The Basic Reproduction Number as a Loop Gain Matrix.

A Colombo1.   

Abstract

The COVID-19 pandemic and the disordered reactions of most governments made the importance of mathematical modelling and model-based predictions evident, even outside the scientific community. The basic reproduction number [Formula: see text] quickly entered the common jargon, as a concise but effective tool to communicate the spreading power of a disease and estimate, at least roughly, the possible outcomes of the epidemic. However, while [Formula: see text] is easily defined for simple models, its proper definition is more subtle for larger, state-of-the-art models. Here we show that it is nothing else than the spectral radius of the gain matrix of a linear system, and that this matrix generalizes [Formula: see text] in the computation of the vector-valued final epidemic size and epidemic threshold, in a large class of finite-dimensional SIR-like models.

Entities:  

Keywords:  Biological systems; compartmental and positive systems; network analysis and control

Year:  2021        PMID: 35582631      PMCID: PMC8864943          DOI: 10.1109/LCSYS.2021.3056616

Source DB:  PubMed          Journal:  IEEE Control Syst Lett


  12 in total

1.  Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission.

Authors:  P van den Driessche; James Watmough
Journal:  Math Biosci       Date:  2002 Nov-Dec       Impact factor: 2.144

2.  On the definition and the computation of the basic reproduction ratio R0 in models for infectious diseases in heterogeneous populations.

Authors:  O Diekmann; J A Heesterbeek; J A Metz
Journal:  J Math Biol       Date:  1990       Impact factor: 2.259

3.  The construction of next-generation matrices for compartmental epidemic models.

Authors:  O Diekmann; J A P Heesterbeek; M G Roberts
Journal:  J R Soc Interface       Date:  2009-11-05       Impact factor: 4.118

Review 4.  A systematic review of early modelling studies of Ebola virus disease in West Africa.

Authors:  Z S Y Wong; C M Bui; A A Chughtai; C R Macintyre
Journal:  Epidemiol Infect       Date:  2017-02-07       Impact factor: 4.434

5.  The COVID-19 epidemic.

Authors:  Thirumalaisamy P Velavan; Christian G Meyer
Journal:  Trop Med Int Health       Date:  2020-02-16       Impact factor: 2.622

6.  Spread and dynamics of the COVID-19 epidemic in Italy: Effects of emergency containment measures.

Authors:  Marino Gatto; Enrico Bertuzzo; Lorenzo Mari; Stefano Miccoli; Luca Carraro; Renato Casagrandi; Andrea Rinaldo
Journal:  Proc Natl Acad Sci U S A       Date:  2020-04-23       Impact factor: 11.205

7.  Phase-adjusted estimation of the number of Coronavirus Disease 2019 cases in Wuhan, China.

Authors:  Huwen Wang; Zezhou Wang; Yinqiao Dong; Ruijie Chang; Chen Xu; Xiaoyue Yu; Shuxian Zhang; Lhakpa Tsamlag; Meili Shang; Jinyan Huang; Ying Wang; Gang Xu; Tian Shen; Xinxin Zhang; Yong Cai
Journal:  Cell Discov       Date:  2020-02-24       Impact factor: 10.849

8.  Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV-2).

Authors:  Ruiyun Li; Sen Pei; Bin Chen; Yimeng Song; Tao Zhang; Wan Yang; Jeffrey Shaman
Journal:  Science       Date:  2020-03-16       Impact factor: 47.728

9.  The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak.

Authors:  Matteo Chinazzi; Jessica T Davis; Marco Ajelli; Corrado Gioannini; Maria Litvinova; Stefano Merler; Ana Pastore Y Piontti; Kunpeng Mu; Luca Rossi; Kaiyuan Sun; Cécile Viboud; Xinyue Xiong; Hongjie Yu; M Elizabeth Halloran; Ira M Longini; Alessandro Vespignani
Journal:  Science       Date:  2020-03-06       Impact factor: 47.728

Review 10.  COVID-19, SARS and MERS: are they closely related?

Authors:  N Petrosillo; G Viceconte; O Ergonul; G Ippolito; E Petersen
Journal:  Clin Microbiol Infect       Date:  2020-03-28       Impact factor: 8.067

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