Literature DB >> 26836775

Host immunity and pathogen diversity: A computational study.

Tomás Aquino1, Ana Nunes2.   

Abstract

The distinctive features of human influenza A phylogeny have inspired many mathematical and computational studies of viral infections spreading in a host population, but our understanding of the mechanisms that shape the coupled evolution of host immunity, disease incidence and viral antigenic properties is far from complete. In this paper we explore the epidemiology and the phylogeny of a rapidly mutating pathogen in a host population with a weak immune response, that allows re-infection by the same strain and provides little cross-immunity. We find that mutation generates explosive diversity and that, as diversity grows, the system is driven to a very high prevalence level. This is in stark contrast with the behavior of similar models where mutation gives rise to a large epidemic followed by disease extinction, under the assumption that infection with a strain provides lifelong immunity. For low mutation rates, the behavior of the system shows the main qualitative features of influenza evolution. Our results highlight the importance of heterogeneity in the human immune response for understanding influenza A phenomenology. They are meant as a first step toward computationally affordable, individual based models including more complex host-pathogen interactions.

Entities:  

Keywords:  individual-based models; influenza A; reinfection threshold; strain competition and evolution

Mesh:

Year:  2016        PMID: 26836775      PMCID: PMC4994829          DOI: 10.1080/21505594.2016.1149284

Source DB:  PubMed          Journal:  Virulence        ISSN: 2150-5594            Impact factor:   5.882


  38 in total

1.  Localized contacts between hosts reduce pathogen diversity.

Authors:  A Nunes; M M Telo da Gama; M G M Gomes
Journal:  J Theor Biol       Date:  2006-01-20       Impact factor: 2.691

2.  Characterization of the endemic equilibrium and response to mutant injection in a multi-strain disease model.

Authors:  Tomás Aquino; Diogo Bolster; Ana Nunes
Journal:  J Theor Biol       Date:  2014-12-12       Impact factor: 2.691

Review 3.  The evolution of epidemic influenza.

Authors:  Martha I Nelson; Edward C Holmes
Journal:  Nat Rev Genet       Date:  2007-01-30       Impact factor: 53.242

4.  On state-space reduction in multi-strain pathogen models, with an application to antigenic drift in influenza A.

Authors:  Sergey Kryazhimskiy; Ulf Dieckmann; Simon A Levin; Jonathan Dushoff
Journal:  PLoS Comput Biol       Date:  2007-06-22       Impact factor: 4.475

5.  Antibody landscapes after influenza virus infection or vaccination.

Authors:  J M Fonville; S H Wilks; S L James; A Fox; M Ventresca; M Aban; L Xue; T C Jones; N M H Le; Q T Pham; N D Tran; Y Wong; A Mosterin; L C Katzelnick; D Labonte; T T Le; G van der Net; E Skepner; C A Russell; T D Kaplan; G F Rimmelzwaan; N Masurel; J C de Jong; A Palache; W E P Beyer; Q M Le; T H Nguyen; H F L Wertheim; A C Hurt; A D M E Osterhaus; I G Barr; R A M Fouchier; P W Horby; D J Smith
Journal:  Science       Date:  2014-11-21       Impact factor: 47.728

6.  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

7.  Pandemic potential of a strain of influenza A (H1N1): early findings.

Authors:  Christophe Fraser; Christl A Donnelly; Simon Cauchemez; William P Hanage; Maria D Van Kerkhove; T Déirdre Hollingsworth; Jamie Griffin; Rebecca F Baggaley; Helen E Jenkins; Emily J Lyons; Thibaut Jombart; Wes R Hinsley; Nicholas C Grassly; Francois Balloux; Azra C Ghani; Neil M Ferguson; Andrew Rambaut; Oliver G Pybus; Hugo Lopez-Gatell; Celia M Alpuche-Aranda; Ietza Bojorquez Chapela; Ethel Palacios Zavala; Dulce Ma Espejo Guevara; Francesco Checchi; Erika Garcia; Stephane Hugonnet; Cathy Roth
Journal:  Science       Date:  2009-05-11       Impact factor: 47.728

Review 8.  Unifying the epidemiological and evolutionary dynamics of pathogens.

Authors:  Bryan T Grenfell; Oliver G Pybus; Julia R Gog; James L N Wood; Janet M Daly; Jenny A Mumford; Edward C Holmes
Journal:  Science       Date:  2004-01-16       Impact factor: 47.728

Review 9.  Modeling infectious disease dynamics in the complex landscape of global health.

Authors:  Hans Heesterbeek; Roy M Anderson; Viggo Andreasen; Shweta Bansal; Daniela De Angelis; Chris Dye; Ken T D Eames; W John Edmunds; Simon D W Frost; Sebastian Funk; T Deirdre Hollingsworth; Thomas House; Valerie Isham; Petra Klepac; Justin Lessler; James O Lloyd-Smith; C Jessica E Metcalf; Denis Mollison; Lorenzo Pellis; Juliet R C Pulliam; Mick G Roberts; Cecile Viboud
Journal:  Science       Date:  2015-03-13       Impact factor: 47.728

10.  The antigenic evolution of influenza: drift or thrift?

Authors:  Paul S Wikramaratna; Michi Sandeman; Mario Recker; Sunetra Gupta
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2013-02-04       Impact factor: 6.237

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  1 in total

1.  Editorial: Mathematical modeling of infectious disease dynamics.

Authors:  Constantinos I Siettos
Journal:  Virulence       Date:  2016       Impact factor: 5.882

  1 in total

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