Suppr超能文献

全球 SARS-CoV-2 基因组监测的差异。

Global disparities in SARS-CoV-2 genomic surveillance.

机构信息

Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.

Instituto Todos pela Saúde, São Paulo, SP, Brazil.

出版信息

Nat Commun. 2022 Nov 16;13(1):7003. doi: 10.1038/s41467-022-33713-y.

Abstract

Genomic sequencing is essential to track the evolution and spread of SARS-CoV-2, optimize molecular tests, treatments, vaccines, and guide public health responses. To investigate the global SARS-CoV-2 genomic surveillance, we used sequences shared via GISAID to estimate the impact of sequencing intensity and turnaround times on variant detection in 189 countries. In the first two years of the pandemic, 78% of high-income countries sequenced >0.5% of their COVID-19 cases, while 42% of low- and middle-income countries reached that mark. Around 25% of the genomes from high income countries were submitted within 21 days, a pattern observed in 5% of the genomes from low- and middle-income countries. We found that sequencing around 0.5% of the cases, with a turnaround time <21 days, could provide a benchmark for SARS-CoV-2 genomic surveillance. Socioeconomic inequalities undermine the global pandemic preparedness, and efforts must be made to support low- and middle-income countries improve their local sequencing capacity.

摘要

基因组测序对于追踪 SARS-CoV-2 的进化和传播、优化分子检测、治疗方法、疫苗以及指导公共卫生应对措施至关重要。为了调查全球 SARS-CoV-2 的基因组监测情况,我们利用 GISAID 共享的序列来估计测序强度和周转时间对 189 个国家/地区变异检测的影响。在大流行的头两年,78%的高收入国家对其 COVID-19 病例的测序比例>0.5%,而 42%的中低收入国家达到了这一比例。大约 25%的高收入国家的基因组在 21 天内提交,这一模式在 5%的中低收入国家的基因组中也有观察到。我们发现,对大约 0.5%的病例进行测序,周转时间<21 天,可以为 SARS-CoV-2 的基因组监测提供一个基准。社会经济不平等破坏了全球大流行的准备工作,必须努力支持中低收入国家提高其本地测序能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a00/9669013/d43e63fcb3da/41467_2022_33713_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验