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非药物干预措施在九个活动领域降低 SARS-CoV-2 传播的效果(西班牙,2020 年 9 月至 2021 年 5 月)。

Effectiveness of non-pharmaceutical interventions in nine fields of activity to decrease SARS-CoV-2 transmission (Spain, September 2020-May 2021).

机构信息

Research Centre for Communication and Information Technology (CITIC), University of A Coruña (UDC), Galicia, Spain.

Department of Informatics Engineering, School of Engineering, University of Cádiz, Andalusia, Spain.

出版信息

Front Public Health. 2023 Apr 12;11:1061331. doi: 10.3389/fpubh.2023.1061331. eCollection 2023.

Abstract

BACKGROUND

We estimated the association between the level of restriction in nine different fields of activity and SARS-CoV-2 transmissibility in Spain, from 15 September 2020 to 9 May 2021.

METHODS

A stringency index (0-1) was created for each Spanish province ( = 50) daily. A hierarchical multiplicative model was fitted. The median of coefficients across provinces (95% bootstrap confidence intervals) quantified the effect of increasing one standard deviation in the stringency index over the logarithmic return of the weekly percentage variation of the 7-days SARS-CoV-2 cumulative incidence, lagged 12 days.

RESULTS

Overall, increasing restrictions reduced SARS-CoV-2 transmission by 22% (RR = 0.78; one-sided 95%CI: 0, 0.82) in 1 week, with highest effects for culture and leisure 14% (0.86; 0, 0.98), social distancing 13% (0.87; 0, 0.95), indoor restaurants 10% (0.90; 0, 0.95) and indoor sports 6% (0.94; 0, 0.98). In a reduced model with seven fields, culture and leisure no longer had a significant effect while ceremonies decreased transmission by 5% (0.95; 0, 0.96). Models was around 70%.

CONCLUSION

Increased restrictions decreased COVID-19 transmission. Limitations include remaining collinearity between fields, and somewhat artificial quantification of qualitative restrictions, so the exact attribution of the effect to specific areas must be done with caution.

摘要

背景

我们估计了 2020 年 9 月 15 日至 2021 年 5 月 9 日期间西班牙九个不同活动领域的限制水平与 SARS-CoV-2 传染性之间的关联。

方法

为西班牙的每个省份( = 50)每天创建一个严格程度指数(0-1)。拟合了分层乘法模型。全省系数的中位数(95%bootstrap 置信区间)量化了严格程度指数每增加一个标准差对滞后 12 天的每周 SARS-CoV-2 累计发病率对数回报的每周百分比变化的影响。

结果

总体而言,增加限制措施使 SARS-CoV-2 的传播减少了 22%(RR = 0.78;单侧 95%CI:0,0.82),1 周内文化和休闲活动减少了 14%(0.86;0,0.98),社交距离减少了 13%(0.87;0,0.95),室内餐厅减少了 10%(0.90;0,0.95),室内运动减少了 6%(0.94;0,0.98)。在一个包含七个领域的简化模型中,文化和休闲不再具有显著影响,而仪式减少了 5%的传播(0.95;0,0.96)。模型的解释能力约为 70%。

结论

增加限制措施降低了 COVID-19 的传播。限制措施的局限性包括领域之间仍然存在共线性,以及对定性限制的量化有些人为,因此必须谨慎地将影响归因于特定领域。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b17/10131688/4212b389b871/fpubh-11-1061331-g001.jpg

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