Literature DB >> 19324753

Implications of vaccination and waning immunity.

J M Heffernan1, M J Keeling.   

Abstract

For infectious diseases where immunization can offer lifelong protection, a variety of simple models can be used to explain the utility of vaccination as a control method. However, for many diseases, immunity wanes over time and is subsequently enhanced (boosted) by asymptomatic encounters with the infection. The study of this type of epidemiological process requires a model formulation that can capture both the within-host dynamics of the pathogen and immune system as well as the associated population-level transmission dynamics. Here, we parametrize such a model for measles and show how vaccination can have a range of unexpected consequences as it reduces the natural boosting of immunity as well as reducing the number of naive susceptibles. In particular, we show that moderate waning times (40-80 years) and high levels of vaccination (greater than 70%) can induce large-scale oscillations with substantial numbers of symptomatic cases being generated at the peak. In addition, we predict that, after a long disease-free period, the introduction of infection will lead to far larger epidemics than that predicted by standard models. These results have clear implications for the long-term success of any vaccination campaign and highlight the need for a sound understanding of the immunological mechanisms of immunity and vaccination.

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Year:  2009        PMID: 19324753      PMCID: PMC2677258          DOI: 10.1098/rspb.2009.0057

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  41 in total

1.  Modelling measles re-emergence as a result of waning of immunity in vaccinated populations.

Authors:  Joël Mossong; Claude P Muller
Journal:  Vaccine       Date:  2003-11-07       Impact factor: 3.641

2.  Levels of selection in positive-strand virus dynamics.

Authors:  D C Krakauer; N L Komarova
Journal:  J Evol Biol       Date:  2003-01       Impact factor: 2.411

3.  Within-host parasite dynamics, emerging trade-off, and evolution of virulence with immune system.

Authors:  Jean-Baptiste André; Jean-Baptiste Ferdy; Bernard Godelle
Journal:  Evolution       Date:  2003-07       Impact factor: 3.694

4.  Impact of vaccination on the spatial correlation and persistence of measles dynamics.

Authors:  B M Bolker; B T Grenfell
Journal:  Proc Natl Acad Sci U S A       Date:  1996-10-29       Impact factor: 11.205

5.  Modeling the impact of subclinical measles transmission in vaccinated populations with waning immunity.

Authors:  J Mossong; D J Nokes; W J Edmunds; M J Cox; S Ratnam; C P Muller
Journal:  Am J Epidemiol       Date:  1999-12-01       Impact factor: 4.897

6.  Disease extinction and community size: modeling the persistence of measles.

Authors:  M J Keeling; B T Grenfell
Journal:  Science       Date:  1997-01-03       Impact factor: 47.728

7.  Immune activation in measles.

Authors:  D E Griffin; B J Ward; E Jauregui; R T Johnson; A Vaisberg
Journal:  N Engl J Med       Date:  1989-06-22       Impact factor: 91.245

8.  Evaluating the importance of within- and between-host selection pressures on the evolution of chronic pathogens.

Authors:  Daniel Coombs; Michael A Gilchrist; Colleen L Ball
Journal:  Theor Popul Biol       Date:  2007-08-28       Impact factor: 1.570

9.  Strategies for mitigating an influenza pandemic.

Authors:  Neil M Ferguson; Derek A T Cummings; Christophe Fraser; James C Cajka; Philip C Cooley; Donald S Burke
Journal:  Nature       Date:  2006-04-26       Impact factor: 49.962

10.  A unified framework of immunological and epidemiological dynamics for the spread of viral infections in a simple network-based population.

Authors:  David M Vickers; Nathaniel D Osgood
Journal:  Theor Biol Med Model       Date:  2007-12-20       Impact factor: 2.432

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  30 in total

1.  A general approach for population games with application to vaccination.

Authors:  Timothy C Reluga; Alison P Galvani
Journal:  Math Biosci       Date:  2011-01-28       Impact factor: 2.144

2.  The problem isn't just "out there," it's also "in here".

Authors:  David Vickers
Journal:  CMAJ       Date:  2015-02-03       Impact factor: 8.262

3.  Multiscale model within-host and between-host for viral infectious diseases.

Authors:  Alexis Erich S Almocera; Van Kinh Nguyen; Esteban A Hernandez-Vargas
Journal:  J Math Biol       Date:  2018-05-08       Impact factor: 2.259

4.  EPIDEMIOLOGICAL CONSEQUENCES OF IMPERFECT VACCINES FOR IMMUNIZING INFECTIONS.

Authors:  F M G Magpantay; M A Riolo; M Domenech DE Cellès; A A King; P Rohani
Journal:  SIAM J Appl Math       Date:  2014       Impact factor: 2.080

5.  Immuno-epidemiology of a population structured by immune status: a mathematical study of waning immunity and immune system boosting.

Authors:  M V Barbarossa; G Röst
Journal:  J Math Biol       Date:  2015-04-02       Impact factor: 2.259

6.  Vaccine impact in homogeneous and age-structured models.

Authors:  F M G Magpantay
Journal:  J Math Biol       Date:  2017-04-17       Impact factor: 2.259

7.  The epidemiological consequences of immune priming.

Authors:  Hannah J Tidbury; Alex Best; Mike Boots
Journal:  Proc Biol Sci       Date:  2012-09-12       Impact factor: 5.349

8.  An immuno-epidemiological model with threshold delay: a study of the effects of multiple exposures to a pathogen.

Authors:  Redouane Qesmi; Jane M Heffernan; Jianhong Wu
Journal:  J Math Biol       Date:  2014-02-28       Impact factor: 2.259

9.  Pertussis immunity and epidemiology: mode and duration of vaccine-induced immunity.

Authors:  F M G Magpantay; M Domenech DE Cellès; P Rohani; A A King
Journal:  Parasitology       Date:  2015-09-04       Impact factor: 3.234

10.  Estimating the duration of pertussis immunity using epidemiological signatures.

Authors:  Helen J Wearing; Pejman Rohani
Journal:  PLoS Pathog       Date:  2009-10-30       Impact factor: 6.823

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