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Effect of evidence updates on key determinants of measles vaccination impact: a DynaMICE modelling study in ten high-burden countries
BACKGROUND: Model-based estimates of measles burden and the impact of measles-containing vaccine (MCV) are crucial for global health priority setting. Recently, evidence from systematic reviews and database analyses have improved our understanding of key determinants of MCV impact. We explore how re...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8594955/ https://www.ncbi.nlm.nih.gov/pubmed/34784922 http://dx.doi.org/10.1186/s12916-021-02157-4 |
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author | Fu, Han Abbas, Kaja Klepac, Petra van Zandvoort, Kevin Tanvir, Hira Portnoy, Allison Jit, Mark |
author_facet | Fu, Han Abbas, Kaja Klepac, Petra van Zandvoort, Kevin Tanvir, Hira Portnoy, Allison Jit, Mark |
author_sort | Fu, Han |
collection | PubMed |
description | BACKGROUND: Model-based estimates of measles burden and the impact of measles-containing vaccine (MCV) are crucial for global health priority setting. Recently, evidence from systematic reviews and database analyses have improved our understanding of key determinants of MCV impact. We explore how representations of these determinants affect model-based estimation of vaccination impact in ten countries with the highest measles burden. METHODS: Using Dynamic Measles Immunisation Calculation Engine (DynaMICE), we modelled the effect of evidence updates for five determinants of MCV impact: case-fatality risk, contact patterns, age-dependent vaccine efficacy, the delivery of supplementary immunisation activities (SIAs) to zero-dose children, and the basic reproduction number. We assessed the incremental vaccination impact of the first (MCV1) and second (MCV2) doses of routine immunisation and SIAs, using metrics of total vaccine-averted cases, deaths, and disability-adjusted life years (DALYs) over 2000–2050. We also conducted a scenario capturing the effect of COVID-19 related disruptions on measles burden and vaccination impact. RESULTS: Incorporated with the updated data sources, DynaMICE projected 253 million measles cases, 3.8 million deaths and 233 million DALYs incurred over 2000–2050 in the ten high-burden countries when MCV1, MCV2, and SIA doses were implemented. Compared to no vaccination, MCV1 contributed to 66% reduction in cumulative measles cases, while MCV2 and SIAs reduced this further to 90%. Among the updated determinants, shifting from fixed to linearly-varying vaccine efficacy by age and from static to time-varying case-fatality risks had the biggest effect on MCV impact. While varying the basic reproduction number showed a limited effect, updates on the other four determinants together resulted in an overall reduction of vaccination impact by 0.58%, 26.2%, and 26.7% for cases, deaths, and DALYs averted, respectively. COVID-19 related disruptions to measles vaccination are not likely to change the influence of these determinants on MCV impact, but may lead to a 3% increase in cases over 2000–2050. CONCLUSIONS: Incorporating updated evidence particularly on vaccine efficacy and case-fatality risk reduces estimates of vaccination impact moderately, but its overall impact remains considerable. High MCV coverage through both routine immunisation and SIAs remains essential for achieving and maintaining low incidence in high measles burden settings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-021-02157-4. |
format | Online Article Text |
id | pubmed-8594955 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-85949552021-11-17 Effect of evidence updates on key determinants of measles vaccination impact: a DynaMICE modelling study in ten high-burden countries Fu, Han Abbas, Kaja Klepac, Petra van Zandvoort, Kevin Tanvir, Hira Portnoy, Allison Jit, Mark BMC Med Research Article BACKGROUND: Model-based estimates of measles burden and the impact of measles-containing vaccine (MCV) are crucial for global health priority setting. Recently, evidence from systematic reviews and database analyses have improved our understanding of key determinants of MCV impact. We explore how representations of these determinants affect model-based estimation of vaccination impact in ten countries with the highest measles burden. METHODS: Using Dynamic Measles Immunisation Calculation Engine (DynaMICE), we modelled the effect of evidence updates for five determinants of MCV impact: case-fatality risk, contact patterns, age-dependent vaccine efficacy, the delivery of supplementary immunisation activities (SIAs) to zero-dose children, and the basic reproduction number. We assessed the incremental vaccination impact of the first (MCV1) and second (MCV2) doses of routine immunisation and SIAs, using metrics of total vaccine-averted cases, deaths, and disability-adjusted life years (DALYs) over 2000–2050. We also conducted a scenario capturing the effect of COVID-19 related disruptions on measles burden and vaccination impact. RESULTS: Incorporated with the updated data sources, DynaMICE projected 253 million measles cases, 3.8 million deaths and 233 million DALYs incurred over 2000–2050 in the ten high-burden countries when MCV1, MCV2, and SIA doses were implemented. Compared to no vaccination, MCV1 contributed to 66% reduction in cumulative measles cases, while MCV2 and SIAs reduced this further to 90%. Among the updated determinants, shifting from fixed to linearly-varying vaccine efficacy by age and from static to time-varying case-fatality risks had the biggest effect on MCV impact. While varying the basic reproduction number showed a limited effect, updates on the other four determinants together resulted in an overall reduction of vaccination impact by 0.58%, 26.2%, and 26.7% for cases, deaths, and DALYs averted, respectively. COVID-19 related disruptions to measles vaccination are not likely to change the influence of these determinants on MCV impact, but may lead to a 3% increase in cases over 2000–2050. CONCLUSIONS: Incorporating updated evidence particularly on vaccine efficacy and case-fatality risk reduces estimates of vaccination impact moderately, but its overall impact remains considerable. High MCV coverage through both routine immunisation and SIAs remains essential for achieving and maintaining low incidence in high measles burden settings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-021-02157-4. BioMed Central 2021-11-17 /pmc/articles/PMC8594955/ /pubmed/34784922 http://dx.doi.org/10.1186/s12916-021-02157-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Fu, Han Abbas, Kaja Klepac, Petra van Zandvoort, Kevin Tanvir, Hira Portnoy, Allison Jit, Mark Effect of evidence updates on key determinants of measles vaccination impact: a DynaMICE modelling study in ten high-burden countries |
title | Effect of evidence updates on key determinants of measles vaccination impact: a DynaMICE modelling study in ten high-burden countries |
title_full | Effect of evidence updates on key determinants of measles vaccination impact: a DynaMICE modelling study in ten high-burden countries |
title_fullStr | Effect of evidence updates on key determinants of measles vaccination impact: a DynaMICE modelling study in ten high-burden countries |
title_full_unstemmed | Effect of evidence updates on key determinants of measles vaccination impact: a DynaMICE modelling study in ten high-burden countries |
title_short | Effect of evidence updates on key determinants of measles vaccination impact: a DynaMICE modelling study in ten high-burden countries |
title_sort | effect of evidence updates on key determinants of measles vaccination impact: a dynamice modelling study in ten high-burden countries |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8594955/ https://www.ncbi.nlm.nih.gov/pubmed/34784922 http://dx.doi.org/10.1186/s12916-021-02157-4 |
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