Suppr超能文献

无症状 SARS-CoV-2 携带者:系统评价和荟萃分析。

Asymptomatic SARS-CoV-2 Carriers: A Systematic Review and Meta-Analysis.

机构信息

Shi-Gan International College of Science and Technology (SICOST), Tribhuvan University, Kathmandu, Nepal.

Central Department of Microbiology, Tribhuvan University, Kathmandu, Nepal.

出版信息

Front Public Health. 2021 Jan 20;8:587374. doi: 10.3389/fpubh.2020.587374. eCollection 2020.

Abstract

Asymptomatic cases of SARS-CoV-2 can be unknown carriers magnifying the transmission of COVID-19. This study appraised the frequency of asymptomatic individuals and estimated occurrence by age group and gender by reviewing the existing published data on asymptomatic people with COVID-19. Three electronic databases, PubMed, Embase, and Web of Science (WoS), were used to search the literature following the guidelines of Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA). The study population for this review included asymptomatic individuals infected with SARS-CoV-2 reported in original articles published up to 30 April 2020. A random effects model was applied to analyze pooled data on the prevalence of asymptomatic cases among all COVID-19 patients and also by age and gender. From the meta-analysis of 16 studies, comprising 2,788 SARS-CoV-2 infected patients, the pooled prevalence according to the random effect size of asymptomatic cases was 48.2% (95% CI, 30-67%). Of the asymptomatic cases, 55.5% (95% CI, 43.6-66.8%) were female and 49.6% (95% CI, 20.5-79.1%) were children. Children and females were more likely to present as asymptomatic COVID-19 cases and could act as unknown carriers of SARS-CoV-2. Symptom-based screening might fail to identify all SARS-CoV-2 infections escalating the threat of global spread and impeding containment. Therefore, a mass surveillance system to track asymptomatic cases is critical, with special attention to females and children.

摘要

无症状的 SARS-CoV-2 病例可能是未知的传播者,放大了 COVID-19 的传播。本研究通过回顾已发表的关于无症状 COVID-19 患者的现有数据,评估了无症状个体的频率,并按年龄组和性别估计了发病率。使用了三个电子数据库,即 PubMed、Embase 和 Web of Science(WoS),按照系统评价和荟萃分析的首选报告项目(PRISMA)指南搜索文献。本综述的研究人群包括截至 2020 年 4 月 30 日在已发表的原始文章中报告的感染 SARS-CoV-2 的无症状个体。应用随机效应模型分析了所有 COVID-19 患者和按年龄和性别分组的无症状病例的患病率汇总数据。对 16 项研究(共 2788 例 SARS-CoV-2 感染患者)进行荟萃分析,根据无症状病例的随机效应大小,无症状病例的总患病率为 48.2%(95%CI,30-67%)。在无症状病例中,55.5%(95%CI,43.6-66.8%)为女性,49.6%(95%CI,20.5-79.1%)为儿童。儿童和女性更有可能表现为无症状 COVID-19 病例,并且可能成为 SARS-CoV-2 的未知携带者。基于症状的筛查可能无法识别所有 SARS-CoV-2 感染,从而加剧了全球传播的威胁并阻碍了控制。因此,建立一个大规模的无症状病例监测系统至关重要,特别是要关注女性和儿童。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a99a/7855302/4193be702cc7/fpubh-08-587374-g0001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验