Literature DB >> 31307874

Models to predict the public health impact of vaccine resistance: A systematic review.

Molly C Reid1, Kathryn Peebles2, Sarah E Stansfield3, Steven M Goodreau4, Neil Abernethy5, Geoffrey S Gottlieb6, John E Mittler7, Joshua T Herbeck8.   

Abstract

Pathogen evolution is a potential threat to the long-term benefits provided by public health vaccination campaigns. Mathematical modeling can be a powerful tool to examine the forces responsible for the development of vaccine resistance and to predict its public health implications. We conducted a systematic review of existing literature to understand the construction and application of vaccine resistance models. We identified 26 studies that modeled the public health impact of vaccine resistance for 12 different pathogens. Most models predicted that vaccines would reduce overall disease burden in spite of evolution of vaccine resistance. Relatively few pathogens and populations for which vaccine resistance may be problematic were covered in the reviewed studies, with low- and middle-income countries particularly under-represented. We discuss the key components of model design, as well as patterns of model predictions.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Mathematical modeling; Vaccine resistance

Year:  2019        PMID: 31307874      PMCID: PMC7094884          DOI: 10.1016/j.vaccine.2019.07.013

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


  37 in total

1.  Vaccination, within-host dynamics, and virulence evolution.

Authors:  Jean-Baptiste André; Sylvain Gandon
Journal:  Evolution       Date:  2006-01       Impact factor: 3.694

2.  Virulence evolution and the trade-off hypothesis: history, current state of affairs and the future.

Authors:  S Alizon; A Hurford; N Mideo; M Van Baalen
Journal:  J Evol Biol       Date:  2009-02       Impact factor: 2.411

Review 3.  Mathematical modelling and prediction in infectious disease epidemiology.

Authors:  A Huppert; G Katriel
Journal:  Clin Microbiol Infect       Date:  2013-11       Impact factor: 8.067

Review 4.  Population biology, evolution, and infectious disease: convergence and synthesis.

Authors:  B R Levin; M Lipsitch; S Bonhoeffer
Journal:  Science       Date:  1999-02-05       Impact factor: 47.728

5.  Vaccination against colonizing bacteria with multiple serotypes.

Authors:  M Lipsitch
Journal:  Proc Natl Acad Sci U S A       Date:  1997-06-10       Impact factor: 11.205

6.  Modeling the effects of strain diversity and mechanisms of strain competition on the potential performance of new tuberculosis vaccines.

Authors:  Ted Cohen; Caroline Colijn; Megan Murray
Journal:  Proc Natl Acad Sci U S A       Date:  2008-10-10       Impact factor: 11.205

7.  7-Valent pneumococcal conjugate vaccination in England and Wales: is it still beneficial despite high levels of serotype replacement?

Authors:  Yoon Hong Choi; Mark Jit; Nigel Gay; Nick Andrews; Pauline A Waight; Alessia Melegaro; Robert George; Elizabeth Miller
Journal:  PLoS One       Date:  2011-10-14       Impact factor: 3.240

8.  Mathematical modelling long-term effects of replacing Prevnar7 with Prevnar13 on invasive pneumococcal diseases in England and Wales.

Authors:  Yoon Hong Choi; Mark Jit; Stefan Flasche; Nigel Gay; Elizabeth Miller
Journal:  PLoS One       Date:  2012-07-13       Impact factor: 3.240

9.  Pneumococcal transmission and disease in silico: a microsimulation model of the indirect effects of vaccination.

Authors:  Markku Nurhonen; Allen C Cheng; Kari Auranen
Journal:  PLoS One       Date:  2013-02-06       Impact factor: 3.240

10.  Optimal serotype compositions for Pneumococcal conjugate vaccination under serotype replacement.

Authors:  Markku Nurhonen; Kari Auranen
Journal:  PLoS Comput Biol       Date:  2014-02-13       Impact factor: 4.475

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