ArticlePLoS medicine2022
Factors associated with excess all-cause mortality in the first wave of the COVID-19 pandemic in the UK: A time series analysis using the Clinical Practice Research Datalink.
Article in PLoS medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.
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Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Excess mortality during the COVID-19 pandemic in low-and lower-middle-income countries: a systematic review and meta-analysis.BMC public health · 2024Pooled it
- The impact of the COVID-19 pandemic on mortality in people with dementia without COVID-19: a systematic review and meta-analysis.BMC geriatrics · 2022Pooled it
- Assessing the impact of COVID-19 pandemic on all-cause mortality and child mortality in a population cohort of Iganga Mayuge HDSS in Eastern Uganda (2015-2021).Population health metrics · 2025Article
- Inequalities in all-cause mortality by ethnicity in the United Kingdom: a systematic review and meta-analysis.The Lancet regional health. Europe · 2025Article
- Risk factors for all-cause mortality during the COVID-19 pandemic compared with the pre-pandemic period in an adult population of Arkhangelsk, Russia.Scientific reports · 2025Article
- Uncovering the toll of the first three COVID-19 waves: excess mortality and social patterns in Belgium.Archives of public health = Archives belges de sante publique · 2024Article
- Increased frequency and mortality in persons with neurological disorders during COVID-19.Brain : a journal of neurology · 2024Article
- Blood groups and Rhesus status as potential predictors of outcomes in patients with cardiac resynchronisation therapy.Scientific reports · 2024Article
- Article
- Risk of death in England following a positive SARS-CoV-2 test: A retrospective national cohort study (March 2020 to September 2022).PloS one · 2024Article
- Excess mortality in US Veterans during the COVID-19 pandemic: an individual-level cohort study.International journal of epidemiology · 2023Observational
- Severe COVID-19 outcomes by cardiovascular risk profile in England in 2020: a population-based cohort study.The Lancet regional health. Europe · 2023Article
- Using national electronic health records for pandemic preparedness: validation of a parsimonious model for predicting excess deaths among those with COVID-19-a data-driven retrospective cohort study.Journal of the Royal Society of Medicine · 2023Article
- Relationship of frailty with excess mortality during the COVID-19 pandemic: a population-level study in Ontario, Canada.Aging clinical and experimental research · 2022Article
- SARS-CoV-2 and COVID-19: A Narrative Review.British journal of biomedical science · 2022Review
- The Global Health Security Index: Another Look.Frontiers in epidemiology · 2022Article
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5 authors.
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Abstract
backgroundExcess mortality captures the total effect of the Coronavirus Disease 2019 (COVID-19) pandemic on mortality and is not affected by misspecification of cause of death. We aimed to describe how health and demographic factors were associated with excess mortality during, compared to before, the pandemic. METHODS AND
findingsWe analysed a time series dataset including 9,635,613 adults (≥40 years old) registered at United Kingdom general practices contributing to the Clinical Practice Research Datalink. We extracted weekly numbers of deaths and numbers at risk between March 2015 and July 2020, stratified by individual-level factors. Excess mortality during Wave 1 of the UK pandemic (5 March to 27 May 2020) compared to the prepandemic period was estimated using seasonally adjusted negative binomial regression models. Relative rates (RRs) of death for a range of factors were estimated before and during Wave 1 by including interaction terms. We found that all-cause mortality increased by 43% (95% CI 40% to 47%) during Wave 1 compared with prepandemic. Changes to the RR of death associated with most sociodemographic and clinical characteristics were small during Wave 1 compared with prepandemic. However, the mortality RR associated with dementia markedly increased (RR for dementia versus no dementia prepandemic: 3.5, 95% CI 3.4 to 3.5; RR during Wave 1: 5.1, 4.9 to 5.3); a similar pattern was seen for learning disabilities (RR prepandemic: 3.6, 3.4 to 3.5; during Wave 1: 4.8, 4.4 to 5.3), for black or South Asian ethnicity compared to white, and for London compared to other regions. Relative risks for morbidities were stable in multiple sensitivity analyses. However, a limitation of the study is that we cannot assume that the risks observed during Wave 1 would apply to other waves due to changes in population behaviour, virus transmission, and risk perception.
conclusionsThe first wave of the UK COVID-19 pandemic appeared to amplify baseline mortality risk to approximately the same relative degree for most population subgroups. However, disproportionate increases in mortality were seen for those with dementia, learning disabilities, non-white ethnicity, or living in London.
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