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Heterogeneity in subnational mortality in the context of the COVID-19 pandemic: the case of Belgian districts in 2020
BACKGROUND: The COVID-19 pandemic has led to major shocks in mortality trends in many countries. Yet few studies have evaluated the heterogeneity of the mortality shocks at the sub-national level, rigorously accounting for the different sources of uncertainty. METHODS: Using death registration data...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9073828/ https://www.ncbi.nlm.nih.gov/pubmed/35524287 http://dx.doi.org/10.1186/s13690-022-00874-7 |
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author | Schlüter, Benjamin-Samuel Masquelier, Bruno Camarda, Carlo Giovanni |
author_facet | Schlüter, Benjamin-Samuel Masquelier, Bruno Camarda, Carlo Giovanni |
author_sort | Schlüter, Benjamin-Samuel |
collection | PubMed |
description | BACKGROUND: The COVID-19 pandemic has led to major shocks in mortality trends in many countries. Yet few studies have evaluated the heterogeneity of the mortality shocks at the sub-national level, rigorously accounting for the different sources of uncertainty. METHODS: Using death registration data from Belgium, we first assess change in the heterogeneity of districts’ standardized mortality ratios in 2020, when compared to previous years. We then measure the shock effect of the pandemic using district-level values of life expectancy, comparing districts’ observed and projected life expectancy, accounting for all sources of uncertainty (stemming from life-table construction at district level and from projection methods at country and district levels). Bayesian modelling makes it easy to combine the different sources of uncertainty in the assessment of the shock. This is of particular interest at a finer geographical scale characterized by high stochastic variation in annual death counts. RESULTS: The heterogeneity in the impact of the pandemic on all-cause mortality across districts is substantial: while some districts barely show any impact, the Bruxelles-Capitale and Mons districts experienced a decrease in life expectancy at birth of 2.24 (95% CI:1.33–3.05) and 2.10 (95% CI:0.86–3.30) years, respectively. The year 2020 was associated with an increase in the heterogeneity of mortality levels at a subnational scale in comparison to past years, measured in terms of both standardized mortality ratios and life expectancies at birth. Decisions on uncertainty thresholds have a large bearing on the interpretation of the results. CONCLUSION: Developing sub-national mortality estimates taking careful account of uncertainty is key to identifying which areas have been disproportionately affected. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at (10.1186/s13690-022-00874-7). |
format | Online Article Text |
id | pubmed-9073828 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-90738282022-05-06 Heterogeneity in subnational mortality in the context of the COVID-19 pandemic: the case of Belgian districts in 2020 Schlüter, Benjamin-Samuel Masquelier, Bruno Camarda, Carlo Giovanni Arch Public Health Research BACKGROUND: The COVID-19 pandemic has led to major shocks in mortality trends in many countries. Yet few studies have evaluated the heterogeneity of the mortality shocks at the sub-national level, rigorously accounting for the different sources of uncertainty. METHODS: Using death registration data from Belgium, we first assess change in the heterogeneity of districts’ standardized mortality ratios in 2020, when compared to previous years. We then measure the shock effect of the pandemic using district-level values of life expectancy, comparing districts’ observed and projected life expectancy, accounting for all sources of uncertainty (stemming from life-table construction at district level and from projection methods at country and district levels). Bayesian modelling makes it easy to combine the different sources of uncertainty in the assessment of the shock. This is of particular interest at a finer geographical scale characterized by high stochastic variation in annual death counts. RESULTS: The heterogeneity in the impact of the pandemic on all-cause mortality across districts is substantial: while some districts barely show any impact, the Bruxelles-Capitale and Mons districts experienced a decrease in life expectancy at birth of 2.24 (95% CI:1.33–3.05) and 2.10 (95% CI:0.86–3.30) years, respectively. The year 2020 was associated with an increase in the heterogeneity of mortality levels at a subnational scale in comparison to past years, measured in terms of both standardized mortality ratios and life expectancies at birth. Decisions on uncertainty thresholds have a large bearing on the interpretation of the results. CONCLUSION: Developing sub-national mortality estimates taking careful account of uncertainty is key to identifying which areas have been disproportionately affected. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at (10.1186/s13690-022-00874-7). BioMed Central 2022-05-06 /pmc/articles/PMC9073828/ /pubmed/35524287 http://dx.doi.org/10.1186/s13690-022-00874-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Schlüter, Benjamin-Samuel Masquelier, Bruno Camarda, Carlo Giovanni Heterogeneity in subnational mortality in the context of the COVID-19 pandemic: the case of Belgian districts in 2020 |
title | Heterogeneity in subnational mortality in the context of the COVID-19 pandemic: the case of Belgian districts in 2020 |
title_full | Heterogeneity in subnational mortality in the context of the COVID-19 pandemic: the case of Belgian districts in 2020 |
title_fullStr | Heterogeneity in subnational mortality in the context of the COVID-19 pandemic: the case of Belgian districts in 2020 |
title_full_unstemmed | Heterogeneity in subnational mortality in the context of the COVID-19 pandemic: the case of Belgian districts in 2020 |
title_short | Heterogeneity in subnational mortality in the context of the COVID-19 pandemic: the case of Belgian districts in 2020 |
title_sort | heterogeneity in subnational mortality in the context of the covid-19 pandemic: the case of belgian districts in 2020 |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9073828/ https://www.ncbi.nlm.nih.gov/pubmed/35524287 http://dx.doi.org/10.1186/s13690-022-00874-7 |
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