Literature DB >> 18773528

The impact of evolutionary constraints on influenza dynamics.

Julia R Gog1.   

Abstract

Existing mathematical models of drift typically assume that influenza A is free to change its antigenic properties without any fitness cost in other respects. This paper asks what might be the impact of antigenic mutations being bound to fitness cost. The effect on drift is explored via a mathematical model. This paper also offers some novel features for multi-strain modeling. In contrast to the unconstrained drift models, this system can exhibit both drift-like patterns and single strain dynamics. These can occur for the same parameter values: a bistable system where it is possible to switch between these behaviours. This raises some important prospects for vaccination strategies, particularly pausing influenza drift.

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Year:  2008        PMID: 18773528     DOI: 10.1016/j.vaccine.2008.04.008

Source DB:  PubMed          Journal:  Vaccine        ISSN: 0264-410X            Impact factor:   3.641


  12 in total

Review 1.  The evolution of seasonal influenza viruses.

Authors:  Velislava N Petrova; Colin A Russell
Journal:  Nat Rev Microbiol       Date:  2017-10-30       Impact factor: 60.633

2.  The evolutionary dynamics of receptor binding avidity in influenza A: a mathematical model for a new antigenic drift hypothesis.

Authors:  Hsiang-Yu Yuan; Katia Koelle
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2013-02-04       Impact factor: 6.237

3.  Phenotypic differences in viral immune escape explained by linking within-host dynamics to host-population immunity.

Authors:  K M Pepin; I Volkov; J R Banavar; C O Wilke; B T Grenfell
Journal:  J Theor Biol       Date:  2010-06-04       Impact factor: 2.691

Review 4.  Capturing the dynamics of pathogens with many strains.

Authors:  Adam J Kucharski; Viggo Andreasen; Julia R Gog
Journal:  J Math Biol       Date:  2015-03-24       Impact factor: 2.259

5.  Herd immunity to GII.4 noroviruses is supported by outbreak patient sera.

Authors:  Jennifer L Cannon; Lisa C Lindesmith; Eric F Donaldson; Lauryn Saxe; Ralph S Baric; Jan Vinjé
Journal:  J Virol       Date:  2009-03-18       Impact factor: 5.103

Review 6.  Predictive Modeling of Influenza Shows the Promise of Applied Evolutionary Biology.

Authors:  Dylan H Morris; Katelyn M Gostic; Simone Pompei; Trevor Bedford; Marta Łuksza; Richard A Neher; Bryan T Grenfell; Michael Lässig; John W McCauley
Journal:  Trends Microbiol       Date:  2017-10-30       Impact factor: 17.079

7.  Influenza emergence in the face of evolutionary constraints.

Authors:  Adam Kucharski; Julia R Gog
Journal:  Proc Biol Sci       Date:  2011-07-20       Impact factor: 5.349

8.  Intraseasonal dynamics and dominant sequences in H3N2 influenza.

Authors:  Nicole Creanza; Jason S Schwarz; Joel E Cohen
Journal:  PLoS One       Date:  2010-01-01       Impact factor: 3.240

9.  Influenza A gradual and epochal evolution: insights from simple models.

Authors:  Sébastien Ballesteros; Elisabeta Vergu; Bernard Cazelles
Journal:  PLoS One       Date:  2009-10-20       Impact factor: 3.240

10.  Phylodynamic inference and model assessment with approximate bayesian computation: influenza as a case study.

Authors:  Oliver Ratmann; Gé Donker; Adam Meijer; Christophe Fraser; Katia Koelle
Journal:  PLoS Comput Biol       Date:  2012-12-27       Impact factor: 4.475

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