Estimating the burden of the COVID-19 pandemic on mortality, life expectancy and lifespan inequality in England and Wales: a population-level analysis.


Journal

Journal of epidemiology and community health
ISSN: 1470-2738
Titre abrégé: J Epidemiol Community Health
Pays: England
ID NLM: 7909766

Informations de publication

Date de publication:
08 2021
Historique:
received: 01 09 2020
revised: 08 12 2020
accepted: 16 12 2020
pubmed: 21 1 2021
medline: 4 8 2021
entrez: 20 1 2021
Statut: ppublish

Résumé

Deaths directly linked to COVID-19 infection may be misclassified, and the pandemic may have indirectly affected other causes of death. To overcome these measurement challenges, we estimate the impact of the COVID-19 pandemic on mortality, life expectancy and lifespan inequality from week 10 of 2020, when the first COVID-19 death was registered, to week 47 ending 20 November 2020 in England and Wales through an analysis of excess mortality. We estimated age and sex-specific excess mortality risk and deaths above a baseline adjusted for seasonality with a systematic comparison of four different models using data from the Office for National Statistics. We additionally provide estimates of life expectancy at birth and lifespan inequality defined as the SD in age at death. There have been 57 419 (95% prediction interval: 54 197, 60 752) excess deaths in the first 47 weeks of 2020, 55% of which occurred in men. Excess deaths increased sharply with age and men experienced elevated risks of death in all age groups. Life expectancy at birth dropped 0.9 and 1.2 years for women and men relative to the 2019 levels, respectively. Lifespan inequality also fell over the same period by 5 months for both sexes. Quantifying excess deaths and their impact on life expectancy at birth provide a more comprehensive picture of the burden of COVID-19 on mortality. Whether mortality will return to-or even fall below-the baseline level remains to be seen as the pandemic continues to unfold and diverse interventions are put in place.

Sections du résumé

BACKGROUND
Deaths directly linked to COVID-19 infection may be misclassified, and the pandemic may have indirectly affected other causes of death. To overcome these measurement challenges, we estimate the impact of the COVID-19 pandemic on mortality, life expectancy and lifespan inequality from week 10 of 2020, when the first COVID-19 death was registered, to week 47 ending 20 November 2020 in England and Wales through an analysis of excess mortality.
METHODS
We estimated age and sex-specific excess mortality risk and deaths above a baseline adjusted for seasonality with a systematic comparison of four different models using data from the Office for National Statistics. We additionally provide estimates of life expectancy at birth and lifespan inequality defined as the SD in age at death.
RESULTS
There have been 57 419 (95% prediction interval: 54 197, 60 752) excess deaths in the first 47 weeks of 2020, 55% of which occurred in men. Excess deaths increased sharply with age and men experienced elevated risks of death in all age groups. Life expectancy at birth dropped 0.9 and 1.2 years for women and men relative to the 2019 levels, respectively. Lifespan inequality also fell over the same period by 5 months for both sexes.
CONCLUSION
Quantifying excess deaths and their impact on life expectancy at birth provide a more comprehensive picture of the burden of COVID-19 on mortality. Whether mortality will return to-or even fall below-the baseline level remains to be seen as the pandemic continues to unfold and diverse interventions are put in place.

Identifiants

pubmed: 33468602
pii: jech-2020-215505
doi: 10.1136/jech-2020-215505
pmc: PMC7818788
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

735-740

Subventions

Organisme : Medical Research Council
ID : MR/S037578/2
Pays : United Kingdom

Informations de copyright

© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Auteurs

Jose Manuel Aburto (JM)

Leverhulme Centre for Demographic Science, Department of Sociology and Nuffield College, University of Oxford, Oxford, UK jose-manuel.aburto@sociology.ox.ac.uk ridhi.kashyap@nuffield.ox.ac.uk.
Interdisciplinary Centre on Population Dynamics, University of Southern Denmark, Odense, Denmark.

Ridhi Kashyap (R)

Leverhulme Centre for Demographic Science, Department of Sociology and Nuffield College, University of Oxford, Oxford, UK jose-manuel.aburto@sociology.ox.ac.uk ridhi.kashyap@nuffield.ox.ac.uk.

Jonas Schöley (J)

Interdisciplinary Centre on Population Dynamics, University of Southern Denmark, Odense, Denmark.

Colin Angus (C)

ScHARR, University of Sheffield, Sheffield, UK.

John Ermisch (J)

Leverhulme Centre for Demographic Science, Department of Sociology and Nuffield College, University of Oxford, Oxford, UK.

Melinda C Mills (MC)

Leverhulme Centre for Demographic Science, Department of Sociology and Nuffield College, University of Oxford, Oxford, UK.

Jennifer Beam Dowd (JB)

Leverhulme Centre for Demographic Science, Department of Sociology and Nuffield College, University of Oxford, Oxford, UK.

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