Modelling the Effects of Booster Dose Vaccination Schedules and Recommendations for Public Health Immunization Programs: The Case of Haemophilus Influenzae Serotype B

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aut.relation.articlenumber705en_NZ
aut.relation.journalBMC Public Healthen_NZ
aut.relation.volume17en_NZ
aut.researcherCharania, Nadia
dc.contributor.authorCharania, Nen_NZ
dc.contributor.authorMoghadas, SMen_NZ
dc.date.accessioned2020-07-06T00:05:45Z
dc.date.available2020-07-06T00:05:45Z
dc.date.copyright2017en_NZ
dc.date.issued2017en_NZ
dc.description.abstractBackground Haemophilus influenzae serotype b (Hib) has yet to be eliminated despite the implementation of routine infant immunization programs. There is no consensus regarding the number of primary vaccine doses and an optimal schedule for the booster dose. We sought to evaluate the effect of a booster dose after receiving the primary series on the long-term disease incidence. Methods A stochastic model of Hib transmission dynamics was constructed to compare the long-term impact of a booster vaccination and different booster schedules after receiving the primary series on the incidence of carriage and symptomatic disease. We parameterized the model with available estimates for the efficacy of Hib conjugate vaccine and durations of both vaccine-induced and naturally acquired immunity. Results We found that administering a booster dose substantially reduced the population burden of Hib disease compared to the scenario of only receiving the primary series. Comparing the schedules, the incidence of carriage for a 2-year delay (on average) in booster vaccination was comparable or lower than that observed for the scenario of booster dose within 1 year after primary series. The temporal reduction of symptomatic disease was similar in the two booster schedules, suggesting no superiority of one schedule over the other in terms of reducing the incidence of symptomatic disease. Conclusions The findings underscore the importance of a booster vaccination for continued decline of Hib incidence. When the primary series provides a high level of protection temporarily, delaying the booster dose (still within the average duration of protection conferred by the primary series) may be beneficial to maintain longer-term protection levels and decelerate the decline of herd immunity in the population.en_NZ
dc.identifier.citationBMC Public Health 17, 705 (2017). https://doi.org/10.1186/s12889-017-4714-9
dc.identifier.doi10.1186/s12889-017-4714-9en_NZ
dc.identifier.urihttps://hdl.handle.net/10292/13500
dc.publisherBioMed Central
dc.relation.urihttps://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-017-4714-9en_NZ
dc.rights© The Author(s). 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
dc.rights.accessrightsOpenAccessen_NZ
dc.subjectHaemophilus influenzae; Stochastic simulations; Epidemic modelling; Booster vaccination; Vaccine policy; Public health
dc.titleModelling the Effects of Booster Dose Vaccination Schedules and Recommendations for Public Health Immunization Programs: The Case of Haemophilus Influenzae Serotype Ben_NZ
dc.typeJournal Article
pubs.elements-id297587
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Faculty of Business, Economics and Law
pubs.organisational-data/AUT/Faculty of Business, Economics and Law/Centre for Occupational Health and Safety
pubs.organisational-data/AUT/Health & Environmental Science
pubs.organisational-data/AUT/Health & Environmental Science/Interprofessional Health
pubs.organisational-data/AUT/PBRF
pubs.organisational-data/AUT/PBRF/PBRF Health and Environmental Sciences
pubs.organisational-data/AUT/PBRF/PBRF Health and Environmental Sciences/HY Public Health & Psychosocial Studies 2018 PBRF
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