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根据新冠病毒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

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

作者信息

Alessandria Marco, Malatesta Giovanni, Di Palmo Giovanni, Cosentino Marco, Donzelli Alberto

机构信息

Department of Life Sciences and Systems Biology, University of Turin, Torino, Italy.

Physics Graduate, Member of the Scientific Committee of the Fondazione Allineare Sanità e Salute, Pistoia, Italy.

出版信息

F1000Res. 2025 Feb 20;13:886. doi: 10.12688/f1000research.154058.2. eCollection 2024.

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.

摘要

背景

针对新冠病毒的大规模疫苗接种运动通常被认为是应对全球新冠疫情危机的最佳对策。然而,通过分析按疫苗接种状况划分的全因死亡率,可以对其实际效果进行评估。英国可能是唯一一个公开了按疫苗接种状况划分的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,按年龄组和疫苗接种状况进行回顾性分析;计算全因死亡率和非新冠死亡率的标准化死亡比(SMR),以未接种疫苗的相应组为对照。

结果

我们发现,在所有年龄组中,全因死亡率标准化死亡比从某个特定日期开始上升,具体日期取决于年龄组。在所有年龄组中,全因死亡率标准化死亡比最初远低于1。然而,由于其上升,到某个特定日期,18 - 39岁、80 - 89岁和90岁以上年龄组的该指标超过了参考值。对于其他年龄组,只要趋势保持不变,标准化死亡比达到1的日期是可以预测的。非新冠死亡率标准化死亡比的趋势非常相似。它们最初远低于1的值表明英国国家统计局数据集中存在重大偏差,导致低估了接种疫苗人群的风险,因为新冠疫苗能预防非新冠死亡是不合理的。

结论

与未接种疫苗者相比,接种疫苗者的全因死亡标准化死亡比随时间上升,且某些年龄组超过了参考值,应仔细考虑其潜在因素。此外,由于标准化死亡比的初始值远低于1,我们认为英国国家统计局数据集中存在重大偏差,导致低估了接种疫苗人群的风险,因为新冠疫苗能预防非新冠死亡是不合理的。其他主要国家应系统收集按疫苗接种状况划分的全因死亡率数据,与此同时,在深入调查结果出来之前,在推动大规模疫苗接种运动时应更加谨慎。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/34db/11868748/93e66a33754e/f1000research-13-177063-g0000.jpg

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