■这项研究旨在从地理上建设,暂时,以及北非SARS-CoV-2的流行病学代表性数据集,关注变体(VOCs),兴趣变体(VOIs),和正在监测的变体(VUMs)。
■通过全球共享所有流感数据平台,分析了来自EpiCoV数据库的SARS-CoV-2基因组序列和元数据。数据分析包括案例,死亡,人口统计,患者状态,测序技术,和变异分析。
■对来自六个北非国家的10,783个病毒基因组序列的综合分析揭示了值得注意的见解。SARS-CoV-2抽样方法缺乏标准化,大多数国家缺乏明确的战略。超过59%的分析基因组缺乏必要的临床和人口统计学元数据,包括患者年龄,性别,潜在的健康状况,和临床结果,这对于全面的基因组分析和流行病学研究至关重要,提交给全球共享所有流感数据倡议。摩洛哥报告的确诊COVID-19病例最多(1,272,490),而突尼斯在报告的死亡中领先(29,341),强调大流行影响的区域差异。GRA进化枝在北非国家中占主导地位。谱系分析显示了埃及190个谱系的多样性,26在利比亚,121在突尼斯,90在阿尔及利亚,146在摩洛哥,还有10个在毛里塔尼亚。SARS-CoV-2变体的时间动力学揭示了由不同变体驱动的不同波。
■这项研究为北非SARS-CoV-2的基因组景观提供了宝贵的见解,强调基因组监测在了解病毒动态和告知公共卫生策略方面的重要性。
UNASSIGNED: This study aimed to construct geographically, temporally, and epidemiologically representative data sets for SARS-CoV-2 in North Africa, focusing on Variants of Concern (VOCs), Variants of Interest (VOIs), and Variants Under Monitoring (VUMs).
UNASSIGNED: SARS-CoV-2 genomic sequences and metadata from the EpiCoV database via the Global Initiative on Sharing All Influenza Data platform were analyzed. Data analysis included cases, deaths, demographics, patient status, sequencing technologies, and variant analysis.
UNASSIGNED: A comprehensive analysis of 10,783 viral genomic sequences from six North African countries revealed notable insights. SARS-CoV-2 sampling methods lack standardization, with a majority of countries lacking clear strategies. Over 59% of analyzed genomes lack essential clinical and demographic metadata, including patient age, sex, underlying health conditions, and clinical outcomes, which are essential for comprehensive genomic analysis and epidemiological studies, as submitted to the Global Initiative on Sharing All Influenza Data. Morocco reported the highest number of confirmed COVID-19 cases (1,272,490), whereas Tunisia leads in reported deaths (29,341), emphasizing regional variations in the pandemic\'s impact. The GRA clade emerged as predominant in North African countries. The lineage analysis showcased a diversity of 190 lineages in Egypt, 26 in Libya, 121 in Tunisia, 90 in Algeria, 146 in Morocco, and 10 in Mauritania. The temporal dynamics of SARS-CoV-2 variants revealed distinct waves driven by different variants.
UNASSIGNED: This study contributes valuable insights into the genomic landscape of SARS-CoV-2 in North Africa, highlighting the importance of genomic surveillance in understanding viral dynamics and informing public health strategies.