Literature DB >> 15136010

The shape of things to come: using models with physiological structure to predict mortality trajectories.

M Marc Mangel1, Michael B Bonsall.   

Abstract

If mortality rate is viewed as the outcome of processes of behavior, growth and reproduction, then it should be possible to predict mortality rate as a result of those processes. We provide two examples of how this may be done. In the first, we use the method of linear chains to treat mortality that is the result of multiple physiological processes, some of which may have delays. In the second, we assume that mortality is the result of damage associated with growth and metabolism. Both approaches lead to a rich diversity of predicted mortality trajectories. Although many of these look Gompertzian at young ages, the behavior at older ages depends upon the details of the physiological models.

Mesh:

Year:  2004        PMID: 15136010     DOI: 10.1016/j.tpb.2003.07.005

Source DB:  PubMed          Journal:  Theor Popul Biol        ISSN: 0040-5809            Impact factor:   1.570


  5 in total

1.  Pathogen responses to host immunity: the impact of time delays and memory on the evolution of virulence.

Authors:  A Fenton; J Lello; M B Bonsall
Journal:  Proc Biol Sci       Date:  2006-08-22       Impact factor: 5.349

2.  Evaluation of mortality trajectories in evolutionary biodemography.

Authors:  Stephan B Munch; Marc Mangel
Journal:  Proc Natl Acad Sci U S A       Date:  2006-10-23       Impact factor: 11.205

Review 3.  Longevity and ageing: appraising the evolutionary consequences of growing old.

Authors:  Michael B Bonsall
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2006-01-29       Impact factor: 6.237

4.  Deterioration, death and the evolution of reproductive restraint in late life.

Authors:  John M McNamara; Alasdair I Houston; Zoltan Barta; Alexander Scheuerlein; Lutz Fromhage
Journal:  Proc Biol Sci       Date:  2009-09-02       Impact factor: 5.349

5.  Phenotypic evolutionary models in stem cell biology: replacement, quiescence, and variability.

Authors:  Marc Mangel; Michael B Bonsall
Journal:  PLoS One       Date:  2008-02-13       Impact factor: 3.240

  5 in total

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