Literature DB >> 27461457

Assessing dengue vaccination impact: Model challenges and future directions.

Mario Recker1, Kirsten Vannice2, Joachim Hombach2, Mark Jit3, Cameron P Simmons4.   

Abstract

In response to the sharp rise in the global burden caused by dengue virus (DENV) over the last few decades, the WHO has set out three specific key objectives in its disease control strategy: (i) to estimate the true burden of dengue by 2015; (ii) a reduction in dengue mortality by at least 50% by 2020 (used as a baseline); and (iii) a reduction in dengue morbidity by at least 25% by 2020. Although various elements will all play crucial parts in achieving this goal, from diagnosis and case management to integrated surveillance and outbreak response, sustainable vector control, vaccine implementation and finally operational and implementation research, it seems clear that new tools (e.g. a safe and effective vaccine and/or effective vector control) are key to success. The first dengue vaccine was licensed in December 2015, Dengvaxia® (CYD-TDV) developed by Sanofi Pasteur. The WHO has provided guidance on the use of CYD-TDV in endemic countries, for which there are a variety of considerations beyond the risk-benefit evaluation done by regulatory authorities, including public health impact and cost-effectiveness. Population-level vaccine impact and economic and financial aspects are two issues that can potentially be considered by means of mathematical modelling, especially for new products for which empirical data are still lacking. In December 2014 a meeting was convened by the WHO in order to revisit the current status of dengue transmission models and their utility for public health decision-making. Here, we report on the main points of discussion and the conclusions of this meeting, as well as next steps for maximising the use of mathematical models for vaccine decision-making.
Copyright © 2016.

Entities:  

Keywords:  Dengue; Mathematical modelling; Vaccine

Mesh:

Substances:

Year:  2016        PMID: 27461457     DOI: 10.1016/j.vaccine.2016.06.082

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


  5 in total

Review 1.  Discovery of B-cell epitopes for development of dengue vaccines and antibody therapeutics.

Authors:  Mohd Ishtiaq Anasir; Chit Laa Poh
Journal:  Med Microbiol Immunol       Date:  2022-01-21       Impact factor: 3.402

2.  3,5-Bis(arylidene)-4-piperidones as potential dengue protease inhibitors.

Authors:  Hasnah Osman; Nor Hashima Idris; Ezatul Ezleen Kamarulzaman; Habibah A Wahab; Mohd Zaheen Hassan
Journal:  Acta Pharm Sin B       Date:  2017-05-04       Impact factor: 11.413

3.  An agent-based model of dengue virus transmission shows how uncertainty about breakthrough infections influences vaccination impact projections.

Authors:  T Alex Perkins; Robert C Reiner; Guido España; Quirine A Ten Bosch; Amit Verma; Kelly A Liebman; Valerie A Paz-Soldan; John P Elder; Amy C Morrison; Steven T Stoddard; Uriel Kitron; Gonzalo M Vazquez-Prokopec; Thomas W Scott; David L Smith
Journal:  PLoS Comput Biol       Date:  2019-03-20       Impact factor: 4.475

Review 4.  Progress towards understanding the pathogenesis of dengue hemorrhagic fever.

Authors:  Xiaojing Pang; Rudian Zhang; Gong Cheng
Journal:  Virol Sin       Date:  2016-11-14       Impact factor: 4.327

5.  SIR Model for Dengue Disease with Effect of Dengue Vaccination.

Authors:  Pratchaya Chanprasopchai; I Ming Tang; Puntani Pongsumpun
Journal:  Comput Math Methods Med       Date:  2018-08-28       Impact factor: 2.238

  5 in total

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