Literature DB >> 16439331

Pertussis: increasing disease as a consequence of reducing transmission.

Ricardo Aguas1, Guilherme Gonçalves, M Gabriela M Gomes.   

Abstract

Since the 1980s, the occurrence of pertussis cases in developed countries has increased and shifted towards older age groups. This resurgence follows 30 years of intense mass vaccination, and has been attributed primarily to three factors: (1) more effective diagnosis of the disease, (2) waning of vaccine-induced immunity, and (3) loss of vaccine efficacy due to the emergence of new Bordetella pertussis strains. Here we develop and analyse a mathematical model to assess the plausibility of these hypotheses. We consider that exposure to B pertussis through natural infection or vaccination induces an immune response that prevents severe disease but does not fully prevent mild infections. We also assume that these protective effects are temporary due to waning of immunity. These assumptions, describing the mode of action of adaptive immunity, are combined with a standard transmission model. Two distinct epidemiological scenarios are detected: under low transmission, most infections lead to severe disease; under high transmission, mild infections are frequent, boosting clinical immunity and maintaining low levels of severe disease. The two behaviours are separated by a reinfection threshold in transmission. As a result, the highest incidence of severe disease is expected to occur at intermediate transmission intensities--near the reinfection threshold--suggesting that pertussis resurgence may be induced by a reduction in transmission, independently of vaccination. The model is extended to interpret the outcomes of current control measures and explore scenarios for future interventions.

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Year:  2006        PMID: 16439331     DOI: 10.1016/S1473-3099(06)70384-X

Source DB:  PubMed          Journal:  Lancet Infect Dis        ISSN: 1473-3099            Impact factor:   25.071


  40 in total

1.  Modelling the long-term dynamics of pre-vaccination pertussis.

Authors:  Ganna Rozhnova; Ana Nunes
Journal:  J R Soc Interface       Date:  2012-06-20       Impact factor: 4.118

2.  Impact of vaccination and birth rate on the epidemiology of pertussis: a comparative study in 64 countries.

Authors:  H Broutin; C Viboud; B T Grenfell; M A Miller; P Rohani
Journal:  Proc Biol Sci       Date:  2010-06-09       Impact factor: 5.349

Review 3.  The pertussis enigma: reconciling epidemiology, immunology and evolution.

Authors:  Matthieu Domenech de Cellès; Felicia M G Magpantay; Aaron A King; Pejman Rohani
Journal:  Proc Biol Sci       Date:  2016-01-13       Impact factor: 5.349

4.  The role of maternal antibodies in the emergence of severe disease as a result of fragmentation.

Authors:  David Fouchet; Stéphane Marchandeau; Nargès Bahi-Jaber; Dominique Pontier
Journal:  J R Soc Interface       Date:  2007-06-22       Impact factor: 4.118

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.  Bordetella pertussis naturally occurring isolates with altered lipooligosaccharide structure fail to fully mature human dendritic cells.

Authors:  Jolanda Brummelman; Rosanne E Veerman; Hendrik Jan Hamstra; Anna J M Deuss; Tim J Schuijt; Arjen Sloots; Betsy Kuipers; Cécile A C M van Els; Peter van der Ley; Frits R Mooi; Wanda G H Han; Elena Pinelli
Journal:  Infect Immun       Date:  2014-10-27       Impact factor: 3.441

8.  Using age-stratified incidence data to examine the transmission consequences of pertussis vaccination.

Authors:  J C Blackwood; D A T Cummings; S Iamsirithaworn; P Rohani
Journal:  Epidemics       Date:  2016-03-19       Impact factor: 4.396

Review 9.  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

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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