Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/25260
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dc.contributor.authorHamami, Dalilaen_UK
dc.contributor.authorCameron, Rossen_UK
dc.contributor.authorPollock, Kevin Gen_UK
dc.contributor.authorShankland, Carronen_UK
dc.date.accessioned2017-07-05T22:10:05Z-
dc.date.available2017-07-05T22:10:05Z-
dc.date.issued2017-04-25en_UK
dc.identifier.other233en_UK
dc.identifier.urihttp://hdl.handle.net/1893/25260-
dc.description.abstractVaccination programs for childhood diseases, such as measles, mumps and rubella have greatly contributed to decreasing the incidence and impact of those diseases. Nonetheless, despite long vaccination programmes across the world, mumps has not yet been eradicated in those countries: indeed, large outbreaks continue. For example, in Scotland large outbreaks occurred in 2004, 2005 and 2015, despite introducing the MMR (Measles- Mumps- Rubella) vaccine more than twenty years ago. There are indications that this vaccine-preventable disease is re-emerging in highly vaccinated populations. Here we investigate whether the resurgence of mumps is due to waning immunity, and further, could a booster dose be the solution to eradicate mumps or would it just extend the period of waning immunity? Using mathematical modelling we enhance a seasonally-structured disease model with four scenarios: no vaccination, vaccinated individuals protected for life, vaccinated individuals at risk of waning immunity, and introduction of measures to increase immunity (a third dose, or a better vaccine). The model is parameterised from observed clinical data in Scotland 2004-2015 and the literature. The results of the four scenarios are compared with observed clinical data 2004-2016. While the force of infection is relatively sensitive to the duration of immunity and the number of boosters undertaken, we conclude that periodic large outbreaks of mumps will be sustained for all except the second scenario. This suggests that the current protocol of two vaccinations is optimal in the sense that while there are periodic large outbreaks, the severity of cases in vaccinated individuals is less than in unvaccinated individuals, and the size of the outbreaks does not decrease sufficiently with a third booster to make economic sense. This recommendation relies on continuous efforts to maintain high levels of vaccination uptake.en_UK
dc.language.isoenen_UK
dc.publisherFrontiers Mediaen_UK
dc.relationHamami D, Cameron R, Pollock KG & Shankland C (2017) Waning immunity is associated with periodic large outbreaks of mumps: a mathematical modeling study of Scottish data. Frontiers in Physiology, 8, Art. No.: 233. https://doi.org/10.3389/fphys.2017.00233en_UK
dc.rights© 2017 HAMAMI, Cameron, Pollock and Shankland. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.subjectMumpsen_UK
dc.subjectVaccinationen_UK
dc.subjectWaning immunityen_UK
dc.subjectmathematical and computational modelling and simulationen_UK
dc.subjectBio-PEPAen_UK
dc.titleWaning immunity is associated with periodic large outbreaks of mumps: a mathematical modeling study of Scottish dataen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.3389/fphys.2017.00233en_UK
dc.identifier.pmid28487657en_UK
dc.citation.jtitleFrontiers in Physiologyen_UK
dc.citation.issn1664-042Xen_UK
dc.citation.volume8en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.citation.date25/04/2017en_UK
dc.contributor.affiliationUniversity of Oran 1 Ahmed Ben Bellaen_UK
dc.contributor.affiliationNHS Health Protection Scotlanden_UK
dc.contributor.affiliationNHS Health Protection Scotlanden_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.identifier.isiWOS:000403093800001en_UK
dc.identifier.scopusid2-s2.0-85018753691en_UK
dc.identifier.wtid531456en_UK
dc.contributor.orcid0000-0001-7672-2884en_UK
dc.date.accepted2017-04-03en_UK
dcterms.dateAccepted2017-04-03en_UK
dc.date.filedepositdate2017-04-12en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionAMen_UK
local.rioxx.authorHamami, Dalila|en_UK
local.rioxx.authorCameron, Ross|en_UK
local.rioxx.authorPollock, Kevin G|en_UK
local.rioxx.authorShankland, Carron|0000-0001-7672-2884en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.freetoreaddate2017-04-25en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved||2017-04-25en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2017-04-25|en_UK
local.rioxx.filename257981_HAMAMI_ProvisionalPDF.pdfen_UK
local.rioxx.filecount1en_UK
Appears in Collections:Computing Science and Mathematics Journal Articles

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