Walkowiak M P, Domaradzki J, Walkowiak D
Department of Preventive Medicine, Poznan University of Medical Sciences, Poznań, Poland.
Department of Social Sciences and Humanities, Poznan University of Medical Sciences, Poznań, Poland.
Public Health. 2023 Oct;223:193-201. doi: 10.1016/j.puhe.2023.08.004. Epub 2023 Sep 5.
The purpose of this study was to assess the long-term effectiveness of COVID-19 pandemic prevention measures in saving lives after European governments began to lift restrictions.
Excess mortality interrupted time series.
Country-level weekly data on deaths were fitted to the Poisson mixed linear model to estimate excess deaths. Based on this estimate, the percentage of excess deaths above the baseline during the pandemic (week 11 in 2020 to week 15 in 2022) (when public health interventions were in place) and during the post-pandemic period (week 16 in 2022 to week 52 in 2022) were calculated. These results were fitted to the linear regression model to determine any potential relationship between mortality during these two periods.
The model used in this study had high predictive value (adjusted R = 59.4%). Mortality during the endemic (post-pandemic) period alone increased by 7.2% (95% confidence interval [CI]: 5.7, 8.6) above baseline, while each percentage increase in mortality during the pandemic corresponded to a 0.357% reduction (95% CI: 0.243, 0.471) in mortality during the post-pandemic period.
The most successful countries in terms of protective measures also experienced the highest mortality rates after restrictions were lifted. The model used in this study clearly shows a measure of bidirectional mortality displacement that is sufficiently clear to mask any impact of long COVID on overall mortality. Results from this study also seriously impact previous cost-benefit analyses of pandemic prevention measures, since, according to the current model, 12.2% (95% CI: 8.3, 16.1) of the gains achieved in pandemic containment were lost after restrictions were lifted.
本研究旨在评估欧洲各国政府开始解除限制措施后,新冠疫情防控措施在拯救生命方面的长期效果。
超额死亡率中断时间序列分析。
将各国每周的死亡数据拟合到泊松混合线性模型中,以估计超额死亡人数。基于这一估计,计算出疫情期间(2020年第11周至2022年第15周)(公共卫生干预措施实施期间)和疫情后时期(2022年第16周至2022年第52周)高于基线的超额死亡百分比。将这些结果拟合到线性回归模型中,以确定这两个时期死亡率之间的潜在关系。
本研究中使用的模型具有较高的预测价值(调整后R = 59.4%)。仅在地方病(疫情后)时期,死亡率就比基线水平高出7.2%(95%置信区间[CI]:5.7,8.6),而疫情期间死亡率每增加一个百分点,对应疫情后时期死亡率降低0.357%(95% CI:0.243,0.471)。
在保护措施方面最成功的国家,在解除限制后死亡率也最高。本研究中使用的模型清楚地显示出一种双向死亡率转移的情况,这种情况足够明显,掩盖了长期新冠对总体死亡率的任何影响。本研究结果也严重影响了此前对疫情防控措施的成本效益分析,因为根据当前模型,在解除限制后,疫情防控所取得的收益中有12.2%(95% CI:8.3,16.1)损失掉了。