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Optimising age coverage of seasonal influenza vaccination in England: A mathematical and health economic evaluation

For infectious disease prevention, policy-makers are typically required to base policy decisions in light of operational and monetary restrictions, prohibiting implementation of all candidate interventions. To inform the evidence-base underpinning policy decision making, mathematical and health econ...

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Autores principales: Hill, Edward M., Petrou, Stavros, Forster, Henry, de Lusignan, Simon, Yonova, Ivelina, Keeling, Matt J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7567368/
https://www.ncbi.nlm.nih.gov/pubmed/33021983
http://dx.doi.org/10.1371/journal.pcbi.1008278
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author Hill, Edward M.
Petrou, Stavros
Forster, Henry
de Lusignan, Simon
Yonova, Ivelina
Keeling, Matt J.
author_facet Hill, Edward M.
Petrou, Stavros
Forster, Henry
de Lusignan, Simon
Yonova, Ivelina
Keeling, Matt J.
author_sort Hill, Edward M.
collection PubMed
description For infectious disease prevention, policy-makers are typically required to base policy decisions in light of operational and monetary restrictions, prohibiting implementation of all candidate interventions. To inform the evidence-base underpinning policy decision making, mathematical and health economic modelling can be a valuable constituent. Applied to England, this study aims to identify the optimal target age groups when extending a seasonal influenza vaccination programme of at-risk individuals to those individuals at low risk of developing complications following infection. To perform this analysis, we utilise an age- and strain-structured transmission model that includes immunity propagation mechanisms which link prior season epidemiological outcomes to immunity at the beginning of the following season. Making use of surveillance data from the past decade in conjunction with our dynamic model, we simulate transmission dynamics of seasonal influenza in England from 2012 to 2018. We infer that modified susceptibility due to natural infection in the previous influenza season is the only immunity propagation mechanism to deliver a non-negligible impact on the transmission dynamics. Further, we discerned case ascertainment to be higher for young infants compared to adults under 65 years old, and uncovered a decrease in case ascertainment as age increased from 65 to 85 years of age. Our health economic appraisal sweeps vaccination age space to determine threshold vaccine dose prices achieving cost-effectiveness under differing paired strategies. In particular, we model offering vaccination to all those low-risk individuals younger than a given age (but no younger than two years old) and all low-risk individuals older than a given age, while maintaining vaccination of at-risk individuals of any age. All posited strategies were deemed cost-effective. In general, the addition of low-risk vaccination programmes whose coverage encompassed children and young adults (aged 20 and below) were highly cost-effective. The inclusion of elder age-groups to the low-risk programme typically lessened the cost-effectiveness. Notably, elderly-centric programmes vaccinating from 65-75 years and above had the least permitted expense per vaccine.
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spelling pubmed-75673682020-10-21 Optimising age coverage of seasonal influenza vaccination in England: A mathematical and health economic evaluation Hill, Edward M. Petrou, Stavros Forster, Henry de Lusignan, Simon Yonova, Ivelina Keeling, Matt J. PLoS Comput Biol Research Article For infectious disease prevention, policy-makers are typically required to base policy decisions in light of operational and monetary restrictions, prohibiting implementation of all candidate interventions. To inform the evidence-base underpinning policy decision making, mathematical and health economic modelling can be a valuable constituent. Applied to England, this study aims to identify the optimal target age groups when extending a seasonal influenza vaccination programme of at-risk individuals to those individuals at low risk of developing complications following infection. To perform this analysis, we utilise an age- and strain-structured transmission model that includes immunity propagation mechanisms which link prior season epidemiological outcomes to immunity at the beginning of the following season. Making use of surveillance data from the past decade in conjunction with our dynamic model, we simulate transmission dynamics of seasonal influenza in England from 2012 to 2018. We infer that modified susceptibility due to natural infection in the previous influenza season is the only immunity propagation mechanism to deliver a non-negligible impact on the transmission dynamics. Further, we discerned case ascertainment to be higher for young infants compared to adults under 65 years old, and uncovered a decrease in case ascertainment as age increased from 65 to 85 years of age. Our health economic appraisal sweeps vaccination age space to determine threshold vaccine dose prices achieving cost-effectiveness under differing paired strategies. In particular, we model offering vaccination to all those low-risk individuals younger than a given age (but no younger than two years old) and all low-risk individuals older than a given age, while maintaining vaccination of at-risk individuals of any age. All posited strategies were deemed cost-effective. In general, the addition of low-risk vaccination programmes whose coverage encompassed children and young adults (aged 20 and below) were highly cost-effective. The inclusion of elder age-groups to the low-risk programme typically lessened the cost-effectiveness. Notably, elderly-centric programmes vaccinating from 65-75 years and above had the least permitted expense per vaccine. Public Library of Science 2020-10-06 /pmc/articles/PMC7567368/ /pubmed/33021983 http://dx.doi.org/10.1371/journal.pcbi.1008278 Text en © 2020 Hill et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Hill, Edward M.
Petrou, Stavros
Forster, Henry
de Lusignan, Simon
Yonova, Ivelina
Keeling, Matt J.
Optimising age coverage of seasonal influenza vaccination in England: A mathematical and health economic evaluation
title Optimising age coverage of seasonal influenza vaccination in England: A mathematical and health economic evaluation
title_full Optimising age coverage of seasonal influenza vaccination in England: A mathematical and health economic evaluation
title_fullStr Optimising age coverage of seasonal influenza vaccination in England: A mathematical and health economic evaluation
title_full_unstemmed Optimising age coverage of seasonal influenza vaccination in England: A mathematical and health economic evaluation
title_short Optimising age coverage of seasonal influenza vaccination in England: A mathematical and health economic evaluation
title_sort optimising age coverage of seasonal influenza vaccination in england: a mathematical and health economic evaluation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7567368/
https://www.ncbi.nlm.nih.gov/pubmed/33021983
http://dx.doi.org/10.1371/journal.pcbi.1008278
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