Literature DB >> 23206388

The effect of antibody-dependent enhancement, cross immunity, and vector population on the dynamics of dengue fever.

K Hu1, C Thoens, S Bianco, S Edlund, M Davis, J Douglas, J H Kaufman.   

Abstract

Dengue is a major international public health concern and impacts one-third of the world's population. No specific vaccine and treatment are available for this vector-borne disease. There are four similar but distinct serotypes of dengue viruses (DENV). Infection with one serotype affords life-long immunity to that serotype but only temporary partial immunity, or cross immunity (CI), to others. This increases the risk of developing lethal complications upon re-infection, mainly because of the effect of antibody-dependent enhancement (ADE). There have been multiple studies of the dynamic behavior created by the interplay of ADE and CI using mathematical models. However, models in the literature seldom capture the vector population, which we consider important because combating the mosquito vector is the only way to contain dengue transmission in the absence of vaccines. We therefore propose two differential-equation models of dengue fever (DF) with different levels of complexity and details. Our results support the need for ADE to explain the complexity of the epidemiological data.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 23206388     DOI: 10.1016/j.jtbi.2012.11.021

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


  10 in total

1.  Impact of sars-cov-2 interventions on dengue transmission.

Authors:  Jue Tao Lim; Borame Sue Lee Dickens; Lawrence Zheng Xiong Chew; Esther Li Wen Choo; Joel Ruihan Koo; Joel Aik; Lee Ching Ng; Alex R Cook
Journal:  PLoS Negl Trop Dis       Date:  2020-10-29

2.  Dengue in Florida (USA).

Authors:  Jorge R Rey
Journal:  Insects       Date:  2014-12-16       Impact factor: 2.769

3.  Statistical modeling reveals the effect of absolute humidity on dengue in Singapore.

Authors:  Hai-Yan Xu; Xiuju Fu; Lionel Kim Hock Lee; Stefan Ma; Kee Tai Goh; Jiancheng Wong; Mohamed Salahuddin Habibullah; Gary Kee Khoon Lee; Tian Kuay Lim; Paul Anantharajah Tambyah; Chin Leong Lim; Lee Ching Ng
Journal:  PLoS Negl Trop Dis       Date:  2014-05-01

4.  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

5.  Implication of vaccination against dengue for Zika outbreak.

Authors:  Biao Tang; Yanni Xiao; Jianhong Wu
Journal:  Sci Rep       Date:  2016-10-24       Impact factor: 4.379

6.  Modelling the impact of antibody-dependent enhancement on disease severity of Zika virus and dengue virus sequential and co-infection.

Authors:  Biao Tang; Yanni Xiao; Beate Sander; Manisha A Kulkarni; Jianhong Wu
Journal:  R Soc Open Sci       Date:  2020-04-15       Impact factor: 2.963

7.  Community-based dengue control intervention in Ouagadougou: intervention theory and implementation fidelity.

Authors:  Diane Saré; Dennis Pérez; Paul-André Somé; Yamba Kafando; Ahmed Barro; Valéry Ridde
Journal:  Glob Health Res Policy       Date:  2018-08-03

8.  STEM: An Open Source Tool for Disease Modeling.

Authors:  Judith V Douglas; Simone Bianco; Stefan Edlund; Tekla Engelhardt; Matthias Filter; Taras Günther; Kun Maggie Hu; Emily J Nixon; Nereyda L Sevilla; Ahmad Swaid; James H Kaufman
Journal:  Health Secur       Date:  2019 Jul/Aug

Review 9.  Challenges in dengue research: A computational perspective.

Authors:  José Lourenço; Warren Tennant; Nuno R Faria; Andrew Walker; Sunetra Gupta; Mario Recker
Journal:  Evol Appl       Date:  2017-11-05       Impact factor: 5.183

10.  Coupling dynamics of epidemic spreading and information diffusion on complex networks.

Authors:  Xiu-Xiu Zhan; Chuang Liu; Ge Zhou; Zi-Ke Zhang; Gui-Quan Sun; Jonathan J H Zhu; Zhen Jin
Journal:  Appl Math Comput       Date:  2018-04-10       Impact factor: 4.091

  10 in total

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