All-cause mortality according to COVID-19 vaccination status: An analysis of the UK office for National statistics public data.

Q2 Pharmacology, Toxicology and Pharmaceutics
F1000Research Pub Date : 2025-02-20 eCollection Date: 2024-01-01 DOI:10.12688/f1000research.154058.2
Marco Alessandria, Giovanni Malatesta, Giovanni Di Palmo, Marco Cosentino, Alberto Donzelli
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引用次数: 0

Abstract

Background: The mass vaccination campaign against COVID-19 has been commonly considered the best response to the global COVID-19 pandemic crisis. However, assessment of its real-world effect can be performed by analysis of all-cause mortality by vaccination status. The UK is perhaps the only country which has made publicly available all-cause mortality data by vaccination status.

Methods: Data from April 2021 to May 2023 published by the UK Office for National Statistics (ONS) were retrospectively analyzed by age groups and vaccination status; the standardized mortality ratio (SMR) for all-cause and non-COVID-19 mortality was calculated against the corresponding unvaccinated groups.

Results: We found that across all age groups, all-cause mortality SMRs increased from a certain date, dependent on the age group. Across all age groups, all-cause mortality SMRs were initially much lower than 1. However, due to their increase, by a certain date for the 18-39, 80-89 and 90+ age groups they exceeded the reference value. For the other age groups, the date at which the SMR would reach 1 can be predicted, provided the trend is maintained. Non-COVID-19 SMRs' trends were very similar. Their initial values much lower than 1 are suggestive of significant biases in the ONS dataset, leading to underestimate the risks for the vaccinated people, as it is implausible that COVID-19 vaccines protect against non-COVID-19 deaths.

Conclusions: The increase over time in all-cause death SMRs in vaccinated people compared to unvaccinated, and their excess from the reference values for certain age groups, should be carefully considered to understand the underlying factors. Furthermore, since the initial values of the SMRs are much lower than 1, we assume the presence of significant biases in the ONS dataset, leading to understimate the risks for the vaccinated people, as it is implausible that COVID-19 vaccines protect against non-COVID-19 deaths. It would be desirable for other major countries to systematically collect all-cause mortality by vaccination status and, in the meantime, a pending indepth investigations, much greater caution should be exercised in promoting mass vaccination campaigns.

根据COVID-19疫苗接种状况的全因死亡率:对英国国家统计局公共数据的分析
背景:针对COVID-19的大规模疫苗接种运动通常被认为是应对全球COVID-19大流行危机的最佳措施。然而,可以通过分析疫苗接种状况的全因死亡率来评估其实际效果。英国可能是唯一一个通过疫苗接种状况公开提供全因死亡率数据的国家。方法:对英国国家统计局(ONS)公布的2021年4月至2023年5月的数据进行回顾性分析,按年龄组和疫苗接种状况进行分析;针对相应的未接种疫苗组计算全因和非covid -19死亡率的标准化死亡率(SMR)。结果:我们发现,在所有年龄组中,全因死亡率smr从某一特定日期开始增加,这取决于年龄组。在所有年龄组中,全因死亡率最初远低于1。然而,由于他们的增加,到某个日期,18-39岁,80-89岁和90岁以上年龄组的他们超过了参考值。对于其他年龄组,SMR达到1的日期是可以预测的,只要这一趋势保持不变。非新冠肺炎的中小农户的趋势非常相似。它们的初始值远低于1,表明国家统计局数据集中存在重大偏差,导致低估了接种疫苗的人的风险,因为COVID-19疫苗不可能保护非COVID-19死亡。结论:与未接种疫苗的人相比,接种疫苗的人的全因死亡smr随时间的增加,以及某些年龄组的smr超过参考值,应仔细考虑,以了解潜在因素。此外,由于smr的初始值远低于1,我们假设国家统计局数据集中存在显著偏差,导致低估了接种疫苗的人的风险,因为COVID-19疫苗不可能保护非COVID-19死亡。其他主要国家最好按疫苗接种状况系统地收集全因死亡率,同时,在进行深入调查时,在促进大规模疫苗接种运动方面应更加谨慎。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
F1000Research
F1000Research Pharmacology, Toxicology and Pharmaceutics-Pharmacology, Toxicology and Pharmaceutics (all)
CiteScore
5.00
自引率
0.00%
发文量
1646
审稿时长
1 weeks
期刊介绍: F1000Research publishes articles and other research outputs reporting basic scientific, scholarly, translational and clinical research across the physical and life sciences, engineering, medicine, social sciences and humanities. F1000Research is a scholarly publication platform set up for the scientific, scholarly and medical research community; each article has at least one author who is a qualified researcher, scholar or clinician actively working in their speciality and who has made a key contribution to the article. Articles must be original (not duplications). All research is suitable irrespective of the perceived level of interest or novelty; we welcome confirmatory and negative results, as well as null studies. F1000Research publishes different type of research, including clinical trials, systematic reviews, software tools, method articles, and many others. Reviews and Opinion articles providing a balanced and comprehensive overview of the latest discoveries in a particular field, or presenting a personal perspective on recent developments, are also welcome. See the full list of article types we accept for more information.
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