Skip navigation
Skip navigation

Optimal Dosing and Dynamic Distribution of Vaccines in an Influenza Pandemic

Wood, James; McCaw, James; Becker, Niels; Nolan, Terry; MacIntyre, C Raina

Description

Limited production capacity and delays inherent in vaccine development are major hurdles to the widespread use of vaccines to mitigate the effects of a new influenza pandemic. Antigen-sparing vaccines have the most potential to increase population coverage but may be less efficacious. The authors explored this trade-off by applying simple models of influenza transmission and dose response to recent clinical trial data. In this paper, these data are used to illustrate an approach to comparing...[Show more]

dc.contributor.authorWood, James
dc.contributor.authorMcCaw, James
dc.contributor.authorBecker, Niels
dc.contributor.authorNolan, Terry
dc.contributor.authorMacIntyre, C Raina
dc.date.accessioned2015-12-07T22:32:48Z
dc.identifier.issn0002-9262
dc.identifier.urihttp://hdl.handle.net/1885/22967
dc.description.abstractLimited production capacity and delays inherent in vaccine development are major hurdles to the widespread use of vaccines to mitigate the effects of a new influenza pandemic. Antigen-sparing vaccines have the most potential to increase population coverage but may be less efficacious. The authors explored this trade-off by applying simple models of influenza transmission and dose response to recent clinical trial data. In this paper, these data are used to illustrate an approach to comparing vaccines on the basis of antigen supply and inferred efficacy. The effects of delays in matched vaccine availability and seroconversion on epidemic size during pandemic phase 6 were also studied. The authors infer from trial data that population benefits stem from the use of low-antigen vaccines. Delayed availability of a matched vaccine could be partially alleviated by using a 1-dose vaccination program with increased coverage and reduced time to full protection. Although less immunogenic, an overall attack rate of up to 6% lower than a 2-dose program could be achieved. However, if prevalence at vaccination is above 1%, effectiveness is much reduced, emphasizing the need for other control measures.
dc.publisherOxford University Press
dc.sourceAmerican Journal of Epidemiology
dc.subjectKeywords: influenza vaccine; influenza vaccine; antigen; disease control; disease transmission; dose-response relationship; drug development; drug user; epidemiology; influenza; public health; theoretical study; vaccination; vaccine; article; controlled study; dose Disease outbreaks; Influenza, human; Mass immunization; Models, theoretical
dc.titleOptimal Dosing and Dynamic Distribution of Vaccines in an Influenza Pandemic
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume169
dc.date.issued2009
local.identifier.absfor111706 - Epidemiology
local.identifier.ariespublicationu4637548xPUB24
local.type.statusPublished Version
local.contributor.affiliationWood, James, University of Sydney
local.contributor.affiliationMcCaw, James, University of Melbourne
local.contributor.affiliationBecker, Niels, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationNolan, Terry, University of Melbourne
local.contributor.affiliationMacIntyre, C Raina, University of New South Wales
local.description.embargo2037-12-31
local.bibliographicCitation.issue12
local.bibliographicCitation.startpage1517
local.bibliographicCitation.lastpage1524
local.identifier.doi10.1093/aje/kwp072
dc.date.updated2016-02-24T11:16:30Z
local.identifier.scopusID2-s2.0-67649148485
local.identifier.thomsonID000266953700014
CollectionsANU Research Publications

Download

File Description SizeFormat Image
01_Wood_Optimal_Dosing_and_Dynamic_2009.pdf376.4 kBAdobe PDF    Request a copy


Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  17 November 2022/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator