Department of Medical Laboratory Sciences, College of Health Sciences, Addis Ababa University, Addis Ababa P.O. Box 1176, Ethiopia.
Department of Microbial, Cellular, and Molecular Biology, College of Natural and Computational Sciences, Addis Ababa University, Addis Ababa P.O. Box 1176, Ethiopia.
Genes (Basel). 2023 Mar 13;14(3):705. doi: 10.3390/genes14030705.
Ethiopia is the second most populous country in Africa and the sixth most affected by COVID-19 on the continent. Despite having experienced five infection waves, >499,000 cases, and ~7500 COVID-19-related deaths as of January 2023, there is still no detailed genomic epidemiological report on the introduction and spread of SARS-CoV-2 in Ethiopia. In this study, we reconstructed and elucidated the COVID-19 epidemic dynamics. Specifically, we investigated the introduction, local transmission, ongoing evolution, and spread of SARS-CoV-2 during the first four infection waves using 353 high-quality near-whole genomes sampled in Ethiopia. Our results show that whereas viral introductions seeded the first wave, subsequent waves were seeded by local transmission. The B.1.480 lineage emerged in the first wave and notably remained in circulation even after the emergence of the Alpha variant. The B.1.480 was outcompeted by the Delta variant. Notably, Ethiopia's lack of local sequencing capacity was further limited by sporadic, uneven, and insufficient sampling that limited the incorporation of genomic epidemiology in the epidemic public health response in Ethiopia. These results highlight Ethiopia's role in SARS-CoV-2 dissemination and the urgent need for balanced, near-real-time genomic sequencing.
埃塞俄比亚是非洲第二大人口大国,也是非洲大陆上受 COVID-19 影响第六大的国家。尽管截至 2023 年 1 月已经历了五波感染、超过 49.9 万例病例和~7500 例与 COVID-19 相关的死亡,但埃塞俄比亚仍没有关于 SARS-CoV-2 引入和传播的详细基因组流行病学报告。在这项研究中,我们重建并阐明了 COVID-19 的流行动态。具体来说,我们使用在埃塞俄比亚采集的 353 个高质量的近全基因组调查了在第一波到第四波感染期间 SARS-CoV-2 的引入、本地传播、持续进化和传播。研究结果表明,病毒的引入引发了第一波感染,而随后的波次则是由本地传播引发的。B.1.480 谱系出现在第一波感染中,值得注意的是,即使在 Alpha 变体出现之后,它仍在持续传播。B.1.480 被 Delta 变体所取代。值得注意的是,埃塞俄比亚缺乏本地测序能力,这进一步限制了其在疫情公共卫生应对中纳入基因组流行病学的能力,导致其采样具有偶发性、不均匀性和不充分性。这些结果突出了埃塞俄比亚在 SARS-CoV-2 传播中的作用,以及对平衡、实时近实时基因组测序的迫切需求。