Optimal Dosing and Dynamic Distribution of Vaccines in an Influenza Pandemic
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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.author | Wood, James | |
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dc.contributor.author | McCaw, James | |
dc.contributor.author | Becker, Niels | |
dc.contributor.author | Nolan, Terry | |
dc.contributor.author | MacIntyre, C Raina | |
dc.date.accessioned | 2015-12-07T22:32:48Z | |
dc.identifier.issn | 0002-9262 | |
dc.identifier.uri | http://hdl.handle.net/1885/22967 | |
dc.description.abstract | 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 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.publisher | Oxford University Press | |
dc.source | American Journal of Epidemiology | |
dc.subject | Keywords: 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.title | Optimal Dosing and Dynamic Distribution of Vaccines in an Influenza Pandemic | |
dc.type | Journal article | |
local.description.notes | Imported from ARIES | |
local.identifier.citationvolume | 169 | |
dc.date.issued | 2009 | |
local.identifier.absfor | 111706 - Epidemiology | |
local.identifier.ariespublication | u4637548xPUB24 | |
local.type.status | Published Version | |
local.contributor.affiliation | Wood, James, University of Sydney | |
local.contributor.affiliation | McCaw, James, University of Melbourne | |
local.contributor.affiliation | Becker, Niels, College of Medicine, Biology and Environment, ANU | |
local.contributor.affiliation | Nolan, Terry, University of Melbourne | |
local.contributor.affiliation | MacIntyre, C Raina, University of New South Wales | |
local.description.embargo | 2037-12-31 | |
local.bibliographicCitation.issue | 12 | |
local.bibliographicCitation.startpage | 1517 | |
local.bibliographicCitation.lastpage | 1524 | |
local.identifier.doi | 10.1093/aje/kwp072 | |
dc.date.updated | 2016-02-24T11:16:30Z | |
local.identifier.scopusID | 2-s2.0-67649148485 | |
local.identifier.thomsonID | 000266953700014 | |
Collections | ANU Research Publications |
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