Literature DB >> 10748285

Waning immunity and sub-clinical infection in an epidemic model: implications for pertussis in The Netherlands.

M van Boven1, H E de Melker, J F Schellekens, M Kretzschmar.   

Abstract

In The Netherlands, an epidemic outbreak of pertussis took place in 1996-1997. Understanding of the causes of the epidemic is hampered by the fact that many cases of infection with Bordetella pertussis go by unnoticed, and by the fact that immunity against infection does not last lifelong. Motivated by these observations, we develop and analyze an age-structured epidemic model that takes these factors into account. A distinction is made between infection in immunologically naive individuals, and infection in individuals whose immune system has been primed before by infection or vaccination. While the former often lead to severe symptoms and thus are more often diagnosed and notified, the latter are largely sub-clinical. The main questions are: (1) to what extent do sub-clinical infections contribute to the circulation of B. pertussis; and (2) what might be the causes for the recent epidemic? To answer these questions, we first present a new method to estimate the force of infection from notification data. The method is applied to the 1988-1995 case notification data from The Netherlands. Estimates of the force of infection vary greatly, depending on the rate at which immunity is lost, and on the fraction of sub-clinical infections. For the 1988-1995 period, our analysis indicates that if immunity is lost at a small rate and if a majority of infections is sub-clinical, the contribution of infection in adults to the transmission process cannot be neglected. Our results furthermore indicate that a decrease in the duration of protection after vaccination due to a change in the pathogen is the most likely factor to account for the 1996-1997 epidemic.

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Year:  2000        PMID: 10748285     DOI: 10.1016/s0025-5564(00)00009-2

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  24 in total

1.  Multiple-locus variable-number tandem repeat analysis of Dutch Bordetella pertussis strains reveals rapid genetic changes with clonal expansion during the late 1990s.

Authors:  Leo M Schouls; Han G J van der Heide; Luc Vauterin; Paul Vauterin; Frits R Mooi
Journal:  J Bacteriol       Date:  2004-08       Impact factor: 3.490

2.  A modelling analysis of pertussis transmission and vaccination in Rio de Janeiro, Brazil.

Authors:  P M Luz; C T Codeço; G L Werneck; C J Struchiner
Journal:  Epidemiol Infect       Date:  2005-11-29       Impact factor: 2.451

3.  Pathogen adaptation under imperfect vaccination: implications for pertussis.

Authors:  Michiel van Boven; Frits R Mooi; Joop F P Schellekens; Hester E de Melker; Mirjam Kretzschmar
Journal:  Proc Biol Sci       Date:  2005-08-07       Impact factor: 5.349

4.  Integrating life history and cross-immunity into the evolutionary dynamics of pathogens.

Authors:  Olivier Restif; Bryan T Grenfell
Journal:  Proc Biol Sci       Date:  2006-02-22       Impact factor: 5.349

5.  Deciphering the impacts of vaccination and immunity on pertussis epidemiology in Thailand.

Authors:  Julie C Blackwood; Derek A T Cummings; Hélène Broutin; Sopon Iamsirithaworn; Pejman Rohani
Journal:  Proc Natl Acad Sci U S A       Date:  2013-05-20       Impact factor: 11.205

6.  Natural immune boosting in pertussis dynamics and the potential for long-term vaccine failure.

Authors:  Jennie S Lavine; Aaron A King; Ottar N Bjørnstad
Journal:  Proc Natl Acad Sci U S A       Date:  2011-03-21       Impact factor: 11.205

7.  Fully vaccinated children are rare: immunization coverage and seroprevalence in Austrian school children.

Authors:  Markus Ringler; Georg Göbel; Johannes Möst; Kurt Weithaler
Journal:  Eur J Epidemiol       Date:  2003       Impact factor: 8.082

Review 8.  Resolving pertussis immunity and vaccine effectiveness using incidence time series.

Authors:  Jennie S Lavine; Pejman Rohani
Journal:  Expert Rev Vaccines       Date:  2012-11       Impact factor: 5.217

9.  Incidence and reproduction numbers of pertussis: estimates from serological and social contact data in five European countries.

Authors:  Mirjam Kretzschmar; Peter F M Teunis; Richard G Pebody
Journal:  PLoS Med       Date:  2010-06-22       Impact factor: 11.069

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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