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非药物干预措施对第一波新冠死亡率的相对影响:130 个国家的自然实验。

The relative effects of non-pharmaceutical interventions on wave one Covid-19 mortality: natural experiment in 130 countries.

机构信息

Health Organisation, Policy & Economics (HOPE), Centre for Primary Care & Health Services Research, University of Manchester, Manchester, England.

Research Centre for the Analysis of Public Policies (CAPP), University of Modena and Reggio Emilia, Modena, Italy.

出版信息

BMC Public Health. 2022 Jun 3;22(1):1113. doi: 10.1186/s12889-022-13546-6.

Abstract

BACKGROUND

Non-pharmaceutical interventions have been implemented around the world to control Covid-19 transmission. Their general effect on reducing virus transmission is proven, but they can also be negative to mental health and economies, and transmission behaviours can also change voluntarily, without mandated interventions. Their relative impact on Covid-19 attributed mortality, enabling policy selection for maximal benefit with minimal disruption, is not well established due to a lack of definitive methods.

METHODS

We examined variations in timing and strictness of nine non-pharmaceutical interventions implemented in 130 countries and recorded by the Oxford COVID-19 Government Response Tracker (OxCGRT): 1) School closing; 2) Workplace closing; 3) Cancelled public events; 4) Restrictions on gatherings; 5) Closing public transport; 6) Stay at home requirements ('Lockdown'); 7) Restrictions on internal movement; 8) International travel controls; 9) Public information campaigns. We used two time periods in the first wave of Covid-19, chosen to limit reverse causality, and fixed country policies to those implemented: i) prior to first Covid-19 death (when policymakers could not possibly be reacting to deaths in their own country); and, ii) 14-days-post first Covid-19 death (when deaths were still low, so reactive policymaking still likely to be minimal). We then examined associations with daily deaths per million in each subsequent 24-day period, which could only be affected by the intervention period, using linear and non-linear multivariable regression models. This method, therefore, exploited the known biological lag between virus transmission (which is what the policies can affect) and mortality for statistical inference.

RESULTS

After adjusting, earlier and stricter school (- 1.23 daily deaths per million, 95% CI - 2.20 to - 0.27) and workplace closures (- 0.26, 95% CI - 0.46 to - 0.05) were associated with lower Covid-19 mortality rates. Other interventions were not significantly associated with differences in mortality rates across countries. Findings were robust across multiple statistical approaches.

CONCLUSIONS

Focusing on 'compulsory', particularly school closing, not 'voluntary' reduction of social interactions with mandated interventions appears to have been the most effective strategy to mitigate early, wave one, Covid-19 mortality. Within 'compulsory' settings, such as schools and workplaces, less damaging interventions than closing might also be considered in future waves/epidemics.

摘要

背景

为了控制新冠病毒传播,全球已经实施了非药物干预措施。它们普遍被证明可以降低病毒传播,但也可能对心理健康和经济造成负面影响,而且传播行为也可以在没有强制干预的情况下自愿改变。由于缺乏明确的方法,这些干预措施对归因于新冠病毒的死亡率的相对影响,以及为了最大程度地减少干扰而选择最佳政策,尚未得到很好的确立。

方法

我们研究了在牛津 COVID-19 政府应对追踪器(OxCGRT)记录的 130 个国家实施的 9 种非药物干预措施的实施时间和严格程度的变化:1)学校关闭;2)工作场所关闭;3)取消公共活动;4)限制聚会;5)关闭公共交通;6)居家要求(“封锁”);7)限制国内流动;8)国际旅行管制;9)公共信息宣传活动。我们在新冠病毒第一波疫情的两个时期使用了这种方法,选择这两个时期是为了限制反向因果关系,并将国家政策固定在实施的政策上:i)在第一例新冠病毒死亡之前(政策制定者不可能对本国的死亡做出反应);ii)在第一例新冠病毒死亡后 14 天(此时死亡人数仍然较低,因此反应性政策制定仍可能最小)。然后,我们使用线性和非线性多变量回归模型,检查与随后每 24 天的每日每百万人死亡人数的关联,这种关联只能受到干预时期的影响。因此,这种方法利用了病毒传播(政策可以影响的因素)和死亡率之间已知的生物学滞后,进行统计推断。

结果

调整后,较早和较严格的学校(每百万人减少 1.23 例死亡,95%置信区间 -2.20 至 -0.27)和工作场所关闭(每百万人减少 0.26 例死亡,95%置信区间 -0.46 至 -0.05)与较低的新冠病毒死亡率相关。其他干预措施与各国死亡率的差异没有显著关联。多种统计方法的结果都是稳健的。

结论

专注于“强制性”,特别是学校关闭,而不是通过强制性干预措施“自愿”减少社交互动,似乎是减轻第一波新冠病毒死亡率的最有效策略。在“强制性”环境中,例如学校和工作场所,也可以考虑在未来的浪潮/流行中采取比关闭影响更小的干预措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f8b8/9166322/dfd2f556fbd8/12889_2022_13546_Fig1_HTML.jpg

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