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Impact of increased influenza vaccination in 2–3-year-old children on disease burden within the general population: A Bayesian model-based approach
INTRODUCTION: During the 2013–2014 influenza season, Public Health England extended routine influenza vaccination to all 2- and 3-year-old children in England. To estimate the impact of this change in policy on influenza-related morbidity and mortality, we developed a disease transmission and survei...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5731690/ https://www.ncbi.nlm.nih.gov/pubmed/29244811 http://dx.doi.org/10.1371/journal.pone.0186739 |
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author | Rajaram, Sankarasubramanian Wiecek, Witold Lawson, Richard Blak, Betina T. Zhao, Yanli Hackett, Judith Brody, Robert Patel, Vishal Amzal, Billy |
author_facet | Rajaram, Sankarasubramanian Wiecek, Witold Lawson, Richard Blak, Betina T. Zhao, Yanli Hackett, Judith Brody, Robert Patel, Vishal Amzal, Billy |
author_sort | Rajaram, Sankarasubramanian |
collection | PubMed |
description | INTRODUCTION: During the 2013–2014 influenza season, Public Health England extended routine influenza vaccination to all 2- and 3-year-old children in England. To estimate the impact of this change in policy on influenza-related morbidity and mortality, we developed a disease transmission and surveillance model informed by real-world data. METHODS: We combined real-world and literature data sources to construct a model of influenza transmission and surveillance in England. Data were obtained for four influenza seasons, starting with the 2010–2011 season. Bayesian inference was used to estimate model parameters on a season-by-season basis to assess the impact of targeting 2- and 3-year-old children for influenza vaccination. This provided the basis for the construction of counterfactual scenarios comparing vaccination rates of ~2% and ~35% in the 2- and 3- year-old population to estimate reductions in general practitioner (GP) influenza-like-illness (ILI) consultations, respiratory hospitalizations and deaths in the overall population. RESULTS: Our model was able to replicate the main patterns of influenza across the four seasons as observed through laboratory surveillance data. Targeting 2- and 3-year-old children for influenza vaccination resulted in reductions in the general population of between 6.2–9.9% in influenza-attributable GP ILI consultations, 6.1–10.7% in influenza-attributable respiratory hospitalizations, and 5.7–9.4% in influenza-attributable deaths. The decrease in influenza-attributable ILI consultations represents a reduction of between 4.5% and 7.3% across all ILI consultations. The reduction in influenza-attributable respiratory hospitalizations represents a reduction of between 1.2% and 2.3% across all respiratory hospitalizations. Reductions in influenza-attributable respiratory deaths represent a reduction of between 0.9% and 2.4% in overall respiratory deaths. CONCLUSION: This study has provided evidence that extending routine influenza vaccination to all healthy children aged 2 and 3 years old leads to benefits in terms of reduced utilization of healthcare resources and fewer respiratory health outcomes and deaths. |
format | Online Article Text |
id | pubmed-5731690 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-57316902017-12-22 Impact of increased influenza vaccination in 2–3-year-old children on disease burden within the general population: A Bayesian model-based approach Rajaram, Sankarasubramanian Wiecek, Witold Lawson, Richard Blak, Betina T. Zhao, Yanli Hackett, Judith Brody, Robert Patel, Vishal Amzal, Billy PLoS One Research Article INTRODUCTION: During the 2013–2014 influenza season, Public Health England extended routine influenza vaccination to all 2- and 3-year-old children in England. To estimate the impact of this change in policy on influenza-related morbidity and mortality, we developed a disease transmission and surveillance model informed by real-world data. METHODS: We combined real-world and literature data sources to construct a model of influenza transmission and surveillance in England. Data were obtained for four influenza seasons, starting with the 2010–2011 season. Bayesian inference was used to estimate model parameters on a season-by-season basis to assess the impact of targeting 2- and 3-year-old children for influenza vaccination. This provided the basis for the construction of counterfactual scenarios comparing vaccination rates of ~2% and ~35% in the 2- and 3- year-old population to estimate reductions in general practitioner (GP) influenza-like-illness (ILI) consultations, respiratory hospitalizations and deaths in the overall population. RESULTS: Our model was able to replicate the main patterns of influenza across the four seasons as observed through laboratory surveillance data. Targeting 2- and 3-year-old children for influenza vaccination resulted in reductions in the general population of between 6.2–9.9% in influenza-attributable GP ILI consultations, 6.1–10.7% in influenza-attributable respiratory hospitalizations, and 5.7–9.4% in influenza-attributable deaths. The decrease in influenza-attributable ILI consultations represents a reduction of between 4.5% and 7.3% across all ILI consultations. The reduction in influenza-attributable respiratory hospitalizations represents a reduction of between 1.2% and 2.3% across all respiratory hospitalizations. Reductions in influenza-attributable respiratory deaths represent a reduction of between 0.9% and 2.4% in overall respiratory deaths. CONCLUSION: This study has provided evidence that extending routine influenza vaccination to all healthy children aged 2 and 3 years old leads to benefits in terms of reduced utilization of healthcare resources and fewer respiratory health outcomes and deaths. Public Library of Science 2017-12-15 /pmc/articles/PMC5731690/ /pubmed/29244811 http://dx.doi.org/10.1371/journal.pone.0186739 Text en © 2017 Rajaram 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 Rajaram, Sankarasubramanian Wiecek, Witold Lawson, Richard Blak, Betina T. Zhao, Yanli Hackett, Judith Brody, Robert Patel, Vishal Amzal, Billy Impact of increased influenza vaccination in 2–3-year-old children on disease burden within the general population: A Bayesian model-based approach |
title | Impact of increased influenza vaccination in 2–3-year-old children on disease burden within the general population: A Bayesian model-based approach |
title_full | Impact of increased influenza vaccination in 2–3-year-old children on disease burden within the general population: A Bayesian model-based approach |
title_fullStr | Impact of increased influenza vaccination in 2–3-year-old children on disease burden within the general population: A Bayesian model-based approach |
title_full_unstemmed | Impact of increased influenza vaccination in 2–3-year-old children on disease burden within the general population: A Bayesian model-based approach |
title_short | Impact of increased influenza vaccination in 2–3-year-old children on disease burden within the general population: A Bayesian model-based approach |
title_sort | impact of increased influenza vaccination in 2–3-year-old children on disease burden within the general population: a bayesian model-based approach |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5731690/ https://www.ncbi.nlm.nih.gov/pubmed/29244811 http://dx.doi.org/10.1371/journal.pone.0186739 |
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