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Excess death estimates from multiverse analysis in 2009–2021

Excess death estimates have great value in public health, but they can be sensitive to analytical choices. Here we propose a multiverse analysis approach that considers all possible different time periods for defining the reference baseline and a range of 1 to 4 years for the projected time period f...

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Autores principales: Levitt, Michael, Zonta, Francesco, Ioannidis, John P. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10090741/
https://www.ncbi.nlm.nih.gov/pubmed/37043153
http://dx.doi.org/10.1007/s10654-023-00998-2
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author Levitt, Michael
Zonta, Francesco
Ioannidis, John P. A.
author_facet Levitt, Michael
Zonta, Francesco
Ioannidis, John P. A.
author_sort Levitt, Michael
collection PubMed
description Excess death estimates have great value in public health, but they can be sensitive to analytical choices. Here we propose a multiverse analysis approach that considers all possible different time periods for defining the reference baseline and a range of 1 to 4 years for the projected time period for which excess deaths are calculated. We used data from the Human Mortality Database on 33 countries with detailed age-stratified death information on an annual basis during the period 2009–2021. The use of different time periods for reference baseline led to large variability in the absolute magnitude of the exact excess death estimates. However, the relative ranking of different countries compared to others for specific years remained largely unaltered. The relative ranking of different years for the specific country was also largely independent of baseline. Averaging across all possible analyses, distinct time patterns were discerned across different countries. Countries had declines between 2009 and 2019, but the steepness of the decline varied markedly. There were also large differences across countries on whether the COVID-19 pandemic years 2020–2021 resulted in an increase of excess deaths and by how much. Consideration of longer projected time windows resulted in substantial shrinking of the excess deaths in many, but not all countries. Multiverse analysis of excess deaths over long periods of interest can offer an approach that better accounts for the uncertainty in estimating expected mortality patterns, comparative mortality trends across different countries, and the nature of observed mortality peaks. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10654-023-00998-2.
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spelling pubmed-100907412023-04-12 Excess death estimates from multiverse analysis in 2009–2021 Levitt, Michael Zonta, Francesco Ioannidis, John P. A. Eur J Epidemiol Mortality Excess death estimates have great value in public health, but they can be sensitive to analytical choices. Here we propose a multiverse analysis approach that considers all possible different time periods for defining the reference baseline and a range of 1 to 4 years for the projected time period for which excess deaths are calculated. We used data from the Human Mortality Database on 33 countries with detailed age-stratified death information on an annual basis during the period 2009–2021. The use of different time periods for reference baseline led to large variability in the absolute magnitude of the exact excess death estimates. However, the relative ranking of different countries compared to others for specific years remained largely unaltered. The relative ranking of different years for the specific country was also largely independent of baseline. Averaging across all possible analyses, distinct time patterns were discerned across different countries. Countries had declines between 2009 and 2019, but the steepness of the decline varied markedly. There were also large differences across countries on whether the COVID-19 pandemic years 2020–2021 resulted in an increase of excess deaths and by how much. Consideration of longer projected time windows resulted in substantial shrinking of the excess deaths in many, but not all countries. Multiverse analysis of excess deaths over long periods of interest can offer an approach that better accounts for the uncertainty in estimating expected mortality patterns, comparative mortality trends across different countries, and the nature of observed mortality peaks. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10654-023-00998-2. Springer Netherlands 2023-04-12 2023 /pmc/articles/PMC10090741/ /pubmed/37043153 http://dx.doi.org/10.1007/s10654-023-00998-2 Text en © The Author(s) 2023 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/) .
spellingShingle Mortality
Levitt, Michael
Zonta, Francesco
Ioannidis, John P. A.
Excess death estimates from multiverse analysis in 2009–2021
title Excess death estimates from multiverse analysis in 2009–2021
title_full Excess death estimates from multiverse analysis in 2009–2021
title_fullStr Excess death estimates from multiverse analysis in 2009–2021
title_full_unstemmed Excess death estimates from multiverse analysis in 2009–2021
title_short Excess death estimates from multiverse analysis in 2009–2021
title_sort excess death estimates from multiverse analysis in 2009–2021
topic Mortality
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10090741/
https://www.ncbi.nlm.nih.gov/pubmed/37043153
http://dx.doi.org/10.1007/s10654-023-00998-2
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