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在大多数国家,学校迅速关闭与新冠病毒感染率和死亡率的降低相对应。

Fast school closures correspond with a lower rate of COVID-19 incidence and deaths in most countries.

作者信息

Liyaghatdar Zahra, Pezeshkian Zahra, Mohammadi-Dehcheshmeh Manijeh, Ebrahimie Esmaeil

机构信息

Department of Biochemistry, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran.

Department of Animal Sciences, University of Guilan, Rasht, Iran.

出版信息

Inform Med Unlocked. 2021;27:100805. doi: 10.1016/j.imu.2021.100805. Epub 2021 Nov 22.

Abstract

School closures have been used as one of the main nonpharmaceutical interventions to overcome the spread of SARS-CoV-2. Different countries use this intervention with a wide range of time intervals from the date of the first confirmed case or death. This study aimed to investigate whether fast or late school closures affect the cumulative number of COVID-19 cases or deaths. A worldwide population-based observational study has been conducted and a range of attributes were weighted using 10 attribute weighting models against the normalized number of infected cases or death in the form of numeric, binominal and polynomial labels. Statistical analysis was performed for the most weighted and the most common attributes of all types of labels. By the end of March 2021, the school closure data of 198 countries with at least one COVID-19 case were available. The days before the first school closure were one of the most weighted factors in relation to the normalized number of infected cases and deaths in numeric, binomial, and quartile forms. The average of days before the first school closure in the lowest quartile to highest quartile of infected cases (Q1, Q2, Q3 and Q4) was -6.10 [95% CI, -26.5 to 14.2], 9.35 [95% CI, 2.16 to 16.53], 17.55 [95% CI, 5.95 to 29.15], and 16.00 [95% CI, 11.69 to 20.31], respectively In addition, 188 countries reported at least one death from COVID-19. The average of the days before the first school closure in the lowest quartile of death to highest quartile (Q1, Q2, Q3 and Q4) was -49.4 [95% CI, -76.5 to -22.3], -10.34 [95% CI, -30.12 to 9.44], -18.74 [95% CI, -32.72 to -4.77], and -12.89 [95% CI, -27.84 to 2.06], respectively Countries that closed schools faster, especially before the detection of any confirmed case or death, had fewer COVID-19 cases or deaths per million of the population on total days of involvement. It can be concluded that rapid prevention policies are the main determinants of the countries' success.

摘要

学校关闭已被用作克服新冠病毒传播的主要非药物干预措施之一。不同国家从首例确诊病例或死亡日期起,以广泛的时间间隔使用这一干预措施。本研究旨在调查学校关闭得早或晚是否会影响新冠疫情病例或死亡的累计数量。开展了一项基于全球人口的观察性研究,并使用10种属性加权模型,针对以数字、二项式和多项式标签形式呈现的感染病例或死亡的标准化数量,对一系列属性进行加权。对所有类型标签中加权最重和最常见的属性进行了统计分析。到2021年3月底,可获取198个至少有一例新冠病例的国家的学校关闭数据。在数字、二项式和四分位数形式下,首次学校关闭前的天数是与感染病例和死亡的标准化数量相关的加权最重的因素之一。在感染病例的最低四分位数到最高四分位数(Q1、Q2、Q3和Q4)中,首次学校关闭前的平均天数分别为-6.10 [95%置信区间,-26.5至14.2]、9.35 [95%置信区间,2.16至16.53]、17.55 [95%置信区间,5.95至29.15]和16.00 [95%置信区间,11.69至20.31]。此外,188个国家报告了至少一例新冠死亡病例。在死亡的最低四分位数到最高四分位数(Q1、Q2、Q3和Q4)中,首次学校关闭前的平均天数分别为-49.4 [95%置信区间,-76.5至-22.3]、-10.34 [95%置信区间,-30.12至9.44]、-18.74 [95%置信区间,-32.72至-4.77]和-12.89 [95%置信区间,-27.84至2.06]。学校关闭得更快的国家,尤其是在检测到任何确诊病例或死亡之前就关闭学校的国家,在参与的总天数中,每百万人口中的新冠病例或死亡人数更少。可以得出结论,快速预防政策是各国成功的主要决定因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f46/8607689/28b9a6782905/gr1_lrg.jpg

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