Literature DB >> 17490942

The pluses and minuses of R0.

M G Roberts1.   

Abstract

The concept of the basic reproduction number (R0) occupies a central place in epidemic theory. The value of R0 determines the proportion of the population that becomes infected over the course of a (modelled) epidemic. In many models, (i) an endemic infection can persist only if R0>1, (ii) the value of R0 provides a direct measure of the control effort required to eliminate the infection, and (iii) pathogens evolve to maximize their value of R0. These three statements are not universally true. In this paper, some exceptions to them are discussed, based on the extensions of the SIR model.

Entities:  

Mesh:

Year:  2007        PMID: 17490942      PMCID: PMC2075534          DOI: 10.1098/rsif.2007.1031

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  29 in total

1.  Predicting and preventing measles epidemics in New Zealand: application of a mathematical model.

Authors:  M G Roberts; M I Tobias
Journal:  Epidemiol Infect       Date:  2000-04       Impact factor: 2.451

2.  Influence of vertical and mechanical transmission on the dynamics of dengue disease.

Authors:  L Esteva; C Vargas
Journal:  Math Biosci       Date:  2000-09       Impact factor: 2.144

3.  The construction and analysis of epidemic trees with reference to the 2001 UK foot-and-mouth outbreak.

Authors:  D T Haydon; M Chase-Topping; D J Shaw; L Matthews; J K Friar; J Wilesmith; M E J Woolhouse
Journal:  Proc Biol Sci       Date:  2003-01-22       Impact factor: 5.349

4.  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

5.  A brief history of R0 and a recipe for its calculation.

Authors:  J A P Heesterbeek
Journal:  Acta Biotheor       Date:  2002       Impact factor: 1.774

6.  Hepatitis-B virus endemicity: heterogeneity, catastrophic dynamics and control.

Authors:  G F Medley; N A Lindop; W J Edmunds; D J Nokes
Journal:  Nat Med       Date:  2001-05       Impact factor: 53.440

7.  Analysis of a dengue disease transmission model.

Authors:  L Esteva; C Vargas
Journal:  Math Biosci       Date:  1998-06-15       Impact factor: 2.144

8.  The dynamics of an infectious disease in a population with birth pulses.

Authors:  M G Roberts; R R Kao
Journal:  Math Biosci       Date:  1998-04       Impact factor: 2.144

9.  An SEI model with density-dependent demographics and epidemiology.

Authors:  M G Roberts; J Jowett
Journal:  IMA J Math Appl Med Biol       Date:  1996-12

10.  Competitive exclusion in a vector-host model for the dengue fever.

Authors:  Z Feng; J X Velasco-Hernández
Journal:  J Math Biol       Date:  1997-05       Impact factor: 2.259

View more
  30 in total

1.  On the definition and the computation of the type-reproduction number T for structured populations in heterogeneous environments.

Authors:  Hisashi Inaba
Journal:  J Math Biol       Date:  2012-03-14       Impact factor: 2.259

Review 2.  The virulence-transmission trade-off in vector-borne plant viruses: a review of (non-)existing studies.

Authors:  R Froissart; J Doumayrou; F Vuillaume; S Alizon; Y Michalakis
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-06-27       Impact factor: 6.237

3.  From within-host interactions to epidemiological competition: a general model for multiple infections.

Authors:  Mircea T Sofonea; Samuel Alizon; Yannis Michalakis
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-08-19       Impact factor: 6.237

4.  Deterministic epidemiological models at the individual level.

Authors:  Kieran J Sharkey
Journal:  J Math Biol       Date:  2008-02-14       Impact factor: 2.259

5.  A graph-theoretic method for the basic reproduction number in continuous time epidemiological models.

Authors:  Tomás de-Camino-Beck; Mark A Lewis; P van den Driessche
Journal:  J Math Biol       Date:  2008-12-02       Impact factor: 2.259

6.  Epidemic models with uncertainty in the reproduction number.

Authors:  M G Roberts
Journal:  J Math Biol       Date:  2012-05-05       Impact factor: 2.259

7.  The model of Kermack and McKendrick for the plague epidemic in Bombay and the type reproduction number with seasonality.

Authors:  Nicolas Bacaër
Journal:  J Math Biol       Date:  2011-03-15       Impact factor: 2.259

8.  Strategies for antiviral stockpiling for future influenza pandemics: a global epidemic-economic perspective.

Authors:  Luis R Carrasco; Vernon J Lee; Mark I Chen; David B Matchar; James P Thompson; Alex R Cook
Journal:  J R Soc Interface       Date:  2011-02-04       Impact factor: 4.118

9.  The importance of age dependent mortality and the extrinsic incubation period in models of mosquito-borne disease transmission and control.

Authors:  Steve E Bellan
Journal:  PLoS One       Date:  2010-04-13       Impact factor: 3.240

10.  Real-time epidemic monitoring and forecasting of H1N1-2009 using influenza-like illness from general practice and family doctor clinics in Singapore.

Authors:  Jimmy Boon Som Ong; Mark I-Cheng Chen; Alex R Cook; Huey Chyi Lee; Vernon J Lee; Raymond Tzer Pin Lin; Paul Ananth Tambyah; Lee Gan Goh
Journal:  PLoS One       Date:  2010-04-14       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.