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非药物公共卫生干预措施对 COVID-19 的有效性:系统评价和荟萃分析。

Effectiveness of non-pharmaceutical public health interventions against COVID-19: A systematic review and meta-analysis.

机构信息

Hospital Management Research Center, Health Management Research Institute, Iran University of Medical Science, Tehran, Iran.

Social Determinants of Health Research Center, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran.

出版信息

PLoS One. 2021 Nov 23;16(11):e0260371. doi: 10.1371/journal.pone.0260371. eCollection 2021.

DOI:10.1371/journal.pone.0260371
PMID:34813628
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8610259/
Abstract

Non-Pharmaceutical Public Health Interventions (NPHIs) have been used by different countries to control the spread of the COVID-19. Despite available evidence regarding the effectiveness of NPHSs, there is still no consensus about how policymakers can trust these results. Studies on the effectiveness of NPHSs are single studies conducted in specific communities. Therefore, they cannot individually prove if these interventions have been effective in reducing the spread of the infection and its adverse health outcomes. In this systematic review, we aimed to examine the effects of NPHIs on the COVID-19 case growth rate, death growth rate, Intensive Care Unit (ICU) admission, and reproduction number in countries, where NPHIs have been implemented. We searched relevant electronic databases, including Medline (via PubMed), Scopus, CINAHL, Web of Science, etc. from late December 2019 to February 1, 2021. The key terms were primarily drawn from Medical Subject Heading (MeSh and Emtree), literature review, and opinions of experts. Peer-reviewed quasi-experimental studies were included in the review. The PROSPERO registration number is CRD42020186855. Interventions were NPHIs categorized as lockdown, stay-at-home orders, social distancing, and other interventions (mask-wearing, contact tracing, and school closure). We used PRISMA 2020 guidance for abstracting the data and used Cochrane Effective Practice and Organization of Practice (EPOC) Risk of Bias Tool for quality appraisal of the studies. Hartung-Knapp-Sidik-Jonkman random-effects model was performed. Main outcomes included COVID-19 case growth rate (percentage daily changes), COVID-19 mortality growth rate (percentage daily changes), COVID-19 ICU admission (percentage daily changes), and COVID-19 reproduction number changes. Our search strategies in major databases yielded 12,523 results, which decreased to 7,540 articles after eliminating duplicates. Finally, 35 articles qualified to be included in the systematic review among which 23 studies were included in the meta-analysis. Although studies were from both low-income and high-income countries, the majority of them were from the United States (13 studies) and China (five studies). Results of the meta-analysis showed that adoption of NPHIs has resulted in a 4.68% (95% CI, -6.94 to -2.78) decrease in daily case growth rates, 4.8% (95 CI, -8.34 to -1.40) decrease in daily death growth rates, 1.90 (95% CI, -2.23 to -1.58) decrease in the COVID-19 reproduction number, and 16.5% (95% CI, -19.68 to -13.32) decrease in COVID-19 daily ICU admission. A few studies showed that, early enforcement of lockdown, when the incidence rate is not high, contributed to a shorter duration of lockdown and a lower increase of the case growth rate in the post-lockdown era. The majority of NPHIs had positive effects on restraining the COVID-19 spread. With the problems that remain regarding universal access to vaccines and their effectiveness and considering the drastic impact of the nationwide lockdown and other harsh restrictions on the economy and people's life, such interventions should be mitigated by adopting other NPHIs such as mass mask-wearing, patient/suspected case isolation strategies, and contact tracing. Studies need to address the impact of NPHIs on the population's other health problems than COVID-19.

摘要

非药物公共卫生干预措施(NPHIs)已被不同国家用于控制 COVID-19 的传播。尽管有关于 NPHS 有效性的可用证据,但政策制定者如何信任这些结果仍没有共识。关于 NPHS 有效性的研究是在特定社区进行的单项研究。因此,它们不能单独证明这些干预措施是否有效降低了感染的传播及其不良健康后果。在本次系统评价中,我们旨在研究 NPHIs 对已实施 NPHIs 的国家的 COVID-19 病例增长率、死亡率增长率、重症监护病房(ICU)入院率和繁殖数的影响。我们检索了相关电子数据库,包括 Medline(通过 PubMed)、Scopus、CINAHL、Web of Science 等,检索时间为 2019 年 12 月下旬至 2021 年 2 月 1 日。主要术语主要来自医学主题词(MeSH 和 Emtree)、文献综述和专家意见。纳入的综述包括准实验研究。PROSPERO 注册号为 CRD42020186855。干预措施分为封锁、居家令、社会距离和其他干预措施(戴口罩、接触者追踪和学校关闭)。我们使用 PRISMA 2020 指南提取数据,并使用 Cochrane 有效实践和组织实践(EPOC)风险偏倚工具评估研究质量。采用 Hartung-Knapp-Sidik-Jonkman 随机效应模型进行分析。主要结果包括 COVID-19 病例增长率(每日百分比变化)、COVID-19 死亡率增长率(每日百分比变化)、COVID-19 ICU 入院率(每日百分比变化)和 COVID-19 繁殖数变化。我们在主要数据库中的搜索策略产生了 12523 项结果,在消除重复项后减少到 7540 篇文章。最后,有 35 篇文章符合纳入系统评价的标准,其中 23 项研究纳入了荟萃分析。虽然这些研究来自低收入和高收入国家,但其中大多数来自美国(13 项研究)和中国(5 项研究)。荟萃分析结果表明,采用 NPHIs 可使每日病例增长率降低 4.68%(95%CI,-6.94 至-2.78),每日死亡率增长率降低 4.8%(95%CI,-8.34 至-1.40),COVID-19 繁殖数降低 1.90(95%CI,-2.23 至-1.58),COVID-19 每日 ICU 入院率降低 16.5%(95%CI,-19.68 至-13.32)。少数研究表明,在发病率不高时,及早实施封锁有助于缩短封锁持续时间,并降低封锁后时代病例增长率的上升。大多数 NPHIs 对抑制 COVID-19 传播有积极影响。考虑到疫苗普及和有效性方面仍存在问题,以及考虑到全国性封锁和其他严厉限制对经济和人民生活的巨大影响,应通过采用大规模戴口罩、疑似病例隔离策略和接触者追踪等其他 NPHIs 来减轻此类干预措施的影响。研究还需要解决 NPHIs 对人口其他健康问题的影响,而不仅仅是 COVID-19。

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