Literature DB >> 17270219

Instabilities in multiserotype disease models with antibody-dependent enhancement.

Lora Billings1, Ira B Schwartz, Leah B Shaw, Marie McCrary, Donald S Burke, Derek A T Cummings.   

Abstract

This paper investigates the complex dynamics induced by antibody-dependent enhancement (ADE) in multiserotype disease models. ADE is the increase in viral growth rate in the presence of immunity due to a previous infection of a different serotype. The increased viral growth rate is thought to increase the infectivity of the secondary infectious class. In our models, ADE induces the onset of oscillations without external forcing. The oscillations in the infectious classes represent outbreaks of the disease. In this paper, we derive approximations of the ADE parameter needed to induce oscillations and analyze the associated bifurcations that separate the types of oscillations. We then investigate the stability of these dynamics by adding stochastic perturbations to the model. We also present a preliminary analysis of the effect of a single serotype vaccination in the model.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 17270219     DOI: 10.1016/j.jtbi.2006.12.023

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  16 in total

1.  A Framework for Inferring Unobserved Multistrain Epidemic Subpopulations Using Synchronization Dynamics.

Authors:  Eric Forgoston; Leah B Shaw; Ira B Schwartz
Journal:  Bull Math Biol       Date:  2015-08-07       Impact factor: 1.758

2.  Epidemics with multistrain interactions: the interplay between cross immunity and antibody-dependent enhancement.

Authors:  Simone Bianco; Leah B Shaw; Ira B Schwartz
Journal:  Chaos       Date:  2009-12       Impact factor: 3.642

Review 3.  Models of the impact of dengue vaccines: a review of current research and potential approaches.

Authors:  Michael A Johansson; Joachim Hombach; Derek A T Cummings
Journal:  Vaccine       Date:  2011-06-23       Impact factor: 3.641

Review 4.  Molecular evolution of dengue viruses: contributions of phylogenetics to understanding the history and epidemiology of the preeminent arboviral disease.

Authors:  Scott C Weaver; Nikos Vasilakis
Journal:  Infect Genet Evol       Date:  2009-02-13       Impact factor: 3.342

5.  Decreases in dengue transmission may act to increase the incidence of dengue hemorrhagic fever.

Authors:  Yoshiro Nagao; Katia Koelle
Journal:  Proc Natl Acad Sci U S A       Date:  2008-02-04       Impact factor: 11.205

6.  Asymmetry in the presence of migration stabilizes multistrain disease outbreaks.

Authors:  Simone Bianco; Leah B Shaw
Journal:  Bull Math Biol       Date:  2010-05-13       Impact factor: 1.758

Review 7.  Dengue--quo tu et quo vadis?

Authors:  Rubing Chen; Nikos Vasilakis
Journal:  Viruses       Date:  2011-09-01       Impact factor: 5.048

8.  Are we modelling the correct dataset? Minimizing false predictions for dengue fever in Thailand.

Authors:  M Aguiar; R Paul; A Sakuntabhai; N Stollenwerk
Journal:  Epidemiol Infect       Date:  2014-11       Impact factor: 2.451

9.  The Role of Serotype Interactions and Seasonality in Dengue Model Selection and Control: Insights from a Pattern Matching Approach.

Authors:  Quirine A Ten Bosch; Brajendra K Singh; Muhammad R A Hassan; Dave D Chadee; Edwin Michael
Journal:  PLoS Negl Trop Dis       Date:  2016-05-09

Review 10.  Dynamic epidemiological models for dengue transmission: a systematic review of structural approaches.

Authors:  Mathieu Andraud; Niel Hens; Christiaan Marais; Philippe Beutels
Journal:  PLoS One       Date:  2012-11-06       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.