Projecting influenza vaccine effectiveness: A simulation study

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual de Campinas (UNICAMP)-
Autor(es): dc.contributorYale Univ-
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorYork Univ-
Autor(es): dc.creatorVilches, Thomas N.-
Autor(es): dc.creatorShoukat, Affan-
Autor(es): dc.creatorFerreira, Claudia Pio [UNESP]-
Autor(es): dc.creatorMoghadas, Seyed M.-
Data de aceite: dc.date.accessioned2022-02-22T00:57:11Z-
Data de disponibilização: dc.date.available2022-02-22T00:57:11Z-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2020-11-02-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1371/journal.pone.0241549-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/209641-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/209641-
Descrição: dc.descriptionThe impact of influenza vaccination is largely measured by estimating vaccine effectiveness (VE), which vary in different seasons. Strain mutations and waning immunity present two key mechanisms affecting VE. We sought to quantify the relative effect of these mechanisms by projecting VE and the reduction of illness due to vaccination. We developed a stochastic age-structured agent-based simulation model of influenza transmission dynamics to encapsulate intraseason waning of immunity post-vaccination, and mutation-induced antigenic distance between circulating strains and vaccine strains. Parameterizing the model with published estimates, we projected the temporal and overall VE during an epidemic season, and estimated the reduction of infection for high (70%) and low (30%) vaccine efficacies to reflect the levels of vaccine-induced protection in randomized control trials. Both temporal and overall VE decreased as the attack rate increased, with lower median values for epidemics starting with strains that were antigenically more distant from vaccine strains. We observed a higher rate of temporal decline with considerably lower median values of the overall VE in the presence of intraseason waning of immunity compared with only the antigenic distance effect. The highest benefit of vaccination in preventing influenza infection was achieved at moderate attack rates in the range of 6%-15%. The results show that even when VE is relatively low in the population and almost negligible for older age groups (i.e., 50+ years), vaccination can still prevent significant illness in high-risk individuals; thereby reducing healthcare resource utilization and economic burden. Our study indicates that early vaccination remains an important strategy for alleviating the burden of seasonal influenza. Policy discussions on optimal timing of vaccination to reduce the effect of intraseason waning of immunity should be considered in the context of strain mutations within the epidemic course.-
Descrição: dc.descriptionNatural Sciences and Engineering Research Council of Canada (NSERC)-
Descrição: dc.descriptionMathematics of Information Technology and Complex Systems (Mitacs)-
Descrição: dc.descriptionCanadian Foundation for Innovation-
Descrição: dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
Descrição: dc.descriptionUniv Estadual Campinas, Inst Math Stat & Sci Comp, Campinas, SP, Brazil-
Descrição: dc.descriptionYale Univ, Ctr Infect Dis Modeling & Anal, Sch Publ Hlth, New Haven, CT USA-
Descrição: dc.descriptionSao Paulo State Univ, Inst Biosci, Dept Biostat, Botucatu, SP, Brazil-
Descrição: dc.descriptionYork Univ, Agent Based Modelling Lab, Toronto, ON, Canada-
Descrição: dc.descriptionSao Paulo State Univ, Inst Biosci, Dept Biostat, Botucatu, SP, Brazil-
Descrição: dc.descriptionFAPESP: 18/24390-6-
Descrição: dc.descriptionFAPESP: 2018/24811-1-
Formato: dc.format12-
Idioma: dc.languageen-
Publicador: dc.publisherPublic Library Science-
Relação: dc.relationPlos One-
???dc.source???: dc.sourceWeb of Science-
Título: dc.titleProjecting influenza vaccine effectiveness: A simulation study-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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