Literature DB >> 22986891

Necessary and sufficient conditions for R₀ to be a sum of contributions of fertility loops.

Claus Rueffler1, Johan A J Metz.   

Abstract

Recently, de-Camino-Beck and Lewis (Bull Math Biol 69:1341-1354, 2007) have presented a method that under certain restricted conditions allows computing the basic reproduction ratio R₀ in a simple manner from life cycle graphs, without, however, giving an explicit indication of these conditions. In this paper, we give various sets of sufficient and generically necessary conditions. To this end, we develop a fully algebraic counterpart of their graph-reduction method which we actually found more useful in concrete applications. Both methods, if they work, give a simple algebraic formula that can be interpreted as the sum of contributions of all fertility loops. This formula can be used in e.g. pest control and conservation biology, where it can complement sensitivity and elasticity analyses. The simplest of the necessary and sufficient conditions is that, for irreducible projection matrices, all paths from birth to reproduction have to pass through a common state. This state may be visible in the state representation for the chosen sampling time, but the passing may also occur in between sampling times, like a seed stage in the case of sampling just before flowering. Note that there may be more than one birth state, like when plants in their first year can already have different sizes at the sampling time. Also the common state may occur only later in life. However, in all cases R₀ allows a simple interpretation as the expected number of new individuals that in the next generation enter the common state deriving from a single individual in this state. We end with pointing to some alternative algebraically simple quantities with properties similar to those of R₀ that may sometimes be used to good effect in cases where no simple formula for R₀ exists.

Mesh:

Year:  2012        PMID: 22986891     DOI: 10.1007/s00285-012-0575-0

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  8 in total

1.  Applications of Perron-Frobenius theory to population dynamics.

Authors:  Chi-Kwong Li; Hans Schneider
Journal:  J Math Biol       Date:  2002-05       Impact factor: 2.259

2.  What life cycle graphs can tell about the evolution of life histories.

Authors:  Claus Rueffler; Johan A J Metz; Tom J M Van Dooren
Journal:  J Math Biol       Date:  2012-02-05       Impact factor: 2.259

3.  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

4.  A new method for calculating net reproductive rate from graph reduction with applications to the control of invasive species.

Authors:  T de-Camino-Beck; M A Lewis
Journal:  Bull Math Biol       Date:  2007-02-15       Impact factor: 1.758

5.  On net reproductive rate and the timing of reproductive output.

Authors:  T de-Camino-Beck; M A Lewis
Journal:  Am Nat       Date:  2008-07       Impact factor: 3.926

Review 6.  Next-generation tools for evolutionary invasion analyses.

Authors:  Amy Hurford; Daniel Cownden; Troy Day
Journal:  J R Soc Interface       Date:  2009-12-02       Impact factor: 4.118

7.  On the concept of individual in ecology and evolution.

Authors:  J A J Metz
Journal:  J Math Biol       Date:  2012-10-30       Impact factor: 2.259

8.  A simple fitness proxy for structured populations with continuous traits, with case studies on the evolution of haplo-diploids and genetic dimorphisms.

Authors:  J A J Metz; O Leimar
Journal:  J Biol Dyn       Date:  2011-03       Impact factor: 2.179

  8 in total
  4 in total

1.  A general theory for target reproduction numbers with applications to ecology and epidemiology.

Authors:  Mark A Lewis; Zhisheng Shuai; P van den Driessche
Journal:  J Math Biol       Date:  2019-03-11       Impact factor: 2.259

2.  On the concept of individual in ecology and evolution.

Authors:  J A J Metz
Journal:  J Math Biol       Date:  2012-10-30       Impact factor: 2.259

3.  An epi-evolutionary model for predicting the adaptation of spore-producing pathogens to quantitative resistance in heterogeneous environments.

Authors:  Frédéric Fabre; Jean-Baptiste Burie; Arnaud Ducrot; Sébastien Lion; Quentin Richard; Ramsès Djidjou-Demasse
Journal:  Evol Appl       Date:  2021-12-31       Impact factor: 5.183

4.  When to be temperate: on the fitness benefits of lysis vs. lysogeny.

Authors:  Guanlin Li; Michael H Cortez; Jonathan Dushoff; Joshua S Weitz
Journal:  Virus Evol       Date:  2020-05-22
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.