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MODELLING THE EFFECT OF VACCINATION ON THE MENINGOCOCCAL B EPIDEMIC IN NEW ZEALAND

Published online by Cambridge University Press:  22 March 2013

J. L. SIMPSON*
Affiliation:
Fonterra (Hautapu), Private Bag 854, Cambridge, New Zealand
M. G. ROBERTS*
Affiliation:
Institute of Natural and Mathematical Sciences, New Zealand Institute for Advanced Study & Infectious Disease Research Centre, Massey University, Private Bay 102 904, North Shore Mail Centre, Auckland, New Zealand
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Abstract

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A nation-wide vaccination campaign began in New Zealand in 2004 with the aim of stopping the epidemic of meningococcal B disease. Approximately 80% of those under 20 years of age when the campaign was launched were vaccinated with three doses of a tailor-made vaccine. We propose a framework for a mathematical model based on the susceptible–carrier–infectious–removed (SCIR) structure. We show how the model could be used to calculate the predicted yearly incidence of infection in the absence of vaccination, and compare this to the effect that vaccination had on the course of the epidemic. Our model shows that vaccination led to a considerable decrease in the incidence of infection compared to what would have been seen otherwise. We then use our model to explore the potential effect of alternative vaccination schemes, and show that the one that was implemented was the best of all the possibilities we consider.

MSC classification

Type
Research Article
Copyright
Copyright ©2013 Australian Mathematical Society 

References

Ancel, L. W., Levin, B. R., Richardson, A. R. and Stojiljkovic, I., “Two-tiered evolution of Neisserria meningitidis: how within-host ecology and between-host epidemiology expedite phase shifting”, 2001, Santa Fe Institute working paper; http://www.santafe.edu/research/working-papers/abstract/20f61faccc83b122d856a3e47602a1de/.Google Scholar
Ancel Meyers, L., Levin, B. R., Richardson, A. R. and Stojiljkovic, I., “Epidemiology, hypermutation, within-host evolution and the virulence of Neisseria meningitidis”, Proc. R. Soc. Lond. B 270 (2003) 16671677; doi:10.1098/rspb.2003.2416.CrossRefGoogle Scholar
Baker, M., McNicholas, A., Garrett, N., Jones, N., Stewart, J., Koberstein, V. and Lennon, D., “Household crowding a major risk factor for epidemic meningococcal disease in Auckland children”, Paediatric Infect. Dis. J. 19 (2000) 983990; doi:10.1097/00006454-200010000-00009.CrossRefGoogle Scholar
Cartwright, K., Meningococcal disease (John Wiley & Sons, Chichester, 1995).Google ScholarPubMed
CBG Health Research, “Evaluation of meningococcal B immunisation national roll out – final report, prepared for the Ministry of Health”, 2006; http://www.health.govt.nz/publication/evaluation-meningococcal-b-immunisation-national-roll-out-final-report.Google Scholar
Coen, P. G., Cartwright, K. and Stuart, J., “Mathematical modelling of infection and disease due to Neisseria meningitidis and Neisseria lactamica”, Int. J. Epidemiol. 29 (2000) 180188; doi:10.1093/ije/29.1.180.CrossRefGoogle ScholarPubMed
Diekmann, O. and Heesterbeek, J. A. P., Mathematical epidemiology of infectious diseases: model building, analysis and interpretation (John Wiley & Sons, Chichester, 2000).Google Scholar
Environmental Science and Research Limited, “The epidemiology of meningococcal disease in New Zealand in 2006”, Ministry of Health, Wellington, 2006,http://www.health.govt.nz/publication/epidemiology-meningococcal-disease-new-zealand-2006.Google Scholar
Guinea, F., Jansen, V. A. A. and Stollenwerk, N., “Statistics of infections with diversity in the pathogenicity”, Biophys. Chem. 115 (2005) 181185; doi:10.1016/j.bpc.2004.12.024.CrossRefGoogle ScholarPubMed
Kelly, C., Arnold, R., Galloway, Y. and O’Hallahan, J., “A prospective study of the effectiveness of the New Zealand meningococcal B vaccine”, Am. J. Epidemiol. 166 (2007) 817823; doi:10.1093/aje/kwm147.CrossRefGoogle ScholarPubMed
Mann, J., “Modelling infectious disease epidemiology and vaccination impact”, Ph. D. Thesis, Massey University, 2009; http://hdl.handle.net/10179/1085.Google Scholar
Martcheva, M. and Crispino-O’Connell, G., “The transmission of meningococcal infection: a mathematical study”, J. Math. Anal. Appl. 283 (2003) 251275; doi:10.1016/S0022-247X(03)00289-0.CrossRefGoogle Scholar
Ministry of Health, Immunisation Handbook 2011, (Ministry of Health, Wellington, 2011), http://www.health.govt.nz/publication/immunisation-handbook-2011.Google Scholar
Ministry of Health, “Meningococcal disease: fact sheet 1”, Ministry of Health, Wellington, 2004, http://www.health.govt.nz/yourhealth-topics/diseases-and-illnesses/meningococcal-disease.Google Scholar
Roberts, M. G. and Tobias, M. I., “Predicting and preventing measles epidemics in New Zealand: application of a mathematical model”, Epidemiol. Infect. 124 (2000) 279287; doi:10.1017/S0950268899003556.CrossRefGoogle ScholarPubMed
Stollenwerk, N. and Jansen, V. A. A., “Evolution towards criticality in an epidemiological model for meningococcal disease”, Phys. Lett. A 317 (2003) 8796; doi:10.1016/j.physleta.2003.08.017.CrossRefGoogle Scholar
Stollenwerk, N. and Jansen, V. A. A., “Meningitis, pathogenicity near criticality: the epidemiology of meningococcal disease as a model for accidental pathogens”, J. Theor. Biol. 222 (2003) 347359; doi:10.1016/S0022-5193(03)00041-9.CrossRefGoogle Scholar
Stollenwerk, N., Maiden, M. C. J. and Jansen, V. A. A., “Diversity in pathogenicity can cause outbreaks of meningococcal disease”, Proc. Natl. Acad. Sci. 101 (2004) 10 22910 234; doi:10.1073/pnas.0400695101.CrossRefGoogle ScholarPubMed
Thomas, M., “Prevention of group B meningococcal disease by vaccination: a difficult task”, New Zealand Medical J. 117 (2004) 2131; http://journal.nzma.org.nz/journal/117-1200/1016/.Google Scholar
Trotter, C. L., Edmunds, W. J., Ramsay, M. E. and Miller, E., “Modelling future changes to the meningococcal serogroup C conjugate (MCC) vaccine program in England and Wales”, Human Vaccines 2 (2006) 6873; doi:10.4161/hv.2.2.2611.CrossRefGoogle Scholar
Trotter, C. L. and Gay, N. J., “Analysis of longitudinal bacterial carriage studies accounting for sensitivity of swabbing: an application to Neiseria meningitidis”, Epidemiol. Infect. 130 (2003) 201205; doi:10.1017/S0950268802008130.CrossRefGoogle Scholar
Trotter, C. L., Gay, N. J. and Edmunds, W. J., “Dynamic models of meningococcal carriage, disease, and the impact of serogroup C conjugate vaccination”, Am. J. Epidemiol. 162 (2005) 89100; doi:10.1093/aje/kwi160.CrossRefGoogle ScholarPubMed
Tuckwell, H. C., Hanslik, T., Valleron, A.-J. and Flahault, A., “A mathematical model for evaluating the impact of vaccination schedules: application to Neisseria meningitidis”, Epidemiol. Infect. 130 (2003) 419429; doi:10.1017/S0950268803008501.CrossRefGoogle ScholarPubMed
Tyski, S., Grzybowska, W., Dulny, G., Berthelsen, L. and Lind, I., “Phenotypical and genotypical characterization of Neisseria meningitidis carrier strains isolated from Polish recruits in 1998”, Euro. J. Clin. Microbiol. Infect. Dis. 20 (2001) 350353; doi:10.1007/PL00011275.CrossRefGoogle ScholarPubMed