抗COVID-19非药物干预措施的有效性排名综述

Q3 Computer Science

Informatica (Slovenia) Pub Date : 2022-12-15 DOI:10.31449/inf.v46i4.4181

David Susic, Janez Tomšič, M. Gams

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引用次数: 0

摘要

在这篇综述中，我们检查了34项基于实验数据的研究，这些研究根据病例、死亡和/或传播率估计和比较了12种非药物政府干预措施对COVID-19的有效性，以评估其总体有效性。所审查的研究基于每日国家级数据，涵盖全球4至200个国家和地区，时间间隔不同，时间跨度为2019年12月至2021年8月。我们发现，总体上最有效的干预措施是限制集会、关闭工作场所、公共信息运动和关闭学校，而最不有效的是关闭公共交通、接触者追踪和检测政策。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Ranking Effectiveness of Non-Pharmaceutical Interventions Against COVID-19: A Review

In this review, we examine 34 studies based on experimental data that estimate and compare the effective ness of 12 non-pharmaceutical government interventions against COVID-19 based on cases, deaths, and/or transmission rates to assess their overall effectiveness. The studies reviewed are based on daily country level data and cover four to 200 countries and regions worldwide with varying time intervals, spanning the period between December 2019 and August 2021. We found that the overall most effective interventions are restrictions on gatherings, workplace closing, public information campaigns, and school closing, while the least effective are close public transport, contact tracing, and testing policy.

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来源期刊

Informatica (Slovenia) Computer Science-Computer Science Applications

CiteScore

1.90

自引率

0.00%

发文量

期刊介绍： Informatica is an international refereed journal with its base in Europe. It has entered its 33th year of publication. It publishes papers addressing all issues of interests to computer professionals: from scientific and technical to educational, commercial and industrial. It also publishes critical examinations of existing publications, news about major practical achievements and innovations in the computer and information industry, as well as conference announcements and reports.