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Molecular Epidemiology and Diversity of SARS-CoV-2 in Ethiopia, 2020-2022.
Sisay, Abay; Tshiabuila, Derek; van Wyk, Stephanie; Tesfaye, Abraham; Mboowa, Gerald; Oyola, Samuel O; Tesema, Sofonias Kifle; Baxter, Cheryl; Martin, Darren; Lessells, Richard; Tegally, Houriiyah; Moir, Monika; Giandhari, Jennifer; Pillay, Sureshnee; Singh, Lavanya; Ramphal, Yajna; Maharaj, Arisha; Pillay, Yusasha; Maharaj, Akhil; Naidoo, Yeshnee; Ramphal, Upasana; Chabuka, Lucious; Wilkinson, Eduan; de Oliveira, Tulio; Desta, Adey Feleke; San, James E.
Afiliação
  • Sisay A; Department of Medical Laboratory Sciences, College of Health Sciences, Addis Ababa University, Addis Ababa P.O. Box 1176, Ethiopia.
  • Tshiabuila D; Department of Microbial, Cellular, and Molecular Biology, College of Natural and Computational Sciences, Addis Ababa University, Addis Ababa P.O. Box 1176, Ethiopia.
  • van Wyk S; Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch 7600, South Africa.
  • Tesfaye A; Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch 7600, South Africa.
  • Mboowa G; Department of Medical Laboratory Sciences, College of Health Sciences, Addis Ababa University, Addis Ababa P.O. Box 1176, Ethiopia.
  • Oyola SO; Diagnostic Unit, Center for Innovative Drug Development and Therapeutic Trials for Africa, CDT-Africa, Addis Ababa P.O. Box 9086, Ethiopia.
  • Tesema SK; Institute of Pathogen Genomics, Africa Centers for Disease Control and Prevention (Africa CDC), African Union Commission, Roosevelt Street W21 K19, Addis Ababa P.O. Box 3243, Ethiopia.
  • Baxter C; International Livestock Research Institute (ILRI), Nairobi P.O. Box 30709-00100, Kenya.
  • Martin D; Institute of Pathogen Genomics, Africa Centers for Disease Control and Prevention (Africa CDC), African Union Commission, Roosevelt Street W21 K19, Addis Ababa P.O. Box 3243, Ethiopia.
  • Lessells R; Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch 7600, South Africa.
  • Tegally H; Wellcome Centre for Infectious Diseases Research in Africa (CIDRI-Africa), Cape Town 7925, South Africa.
  • Moir M; Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town 7925, South Africa.
  • Giandhari J; KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban 4001, South Africa.
  • Pillay S; Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch 7600, South Africa.
  • Singh L; KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban 4001, South Africa.
  • Ramphal Y; Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch 7600, South Africa.
  • Maharaj A; KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban 4001, South Africa.
  • Pillay Y; KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban 4001, South Africa.
  • Maharaj A; KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban 4001, South Africa.
  • Naidoo Y; Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch 7600, South Africa.
  • Ramphal U; KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban 4001, South Africa.
  • Chabuka L; Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch 7600, South Africa.
  • Wilkinson E; Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch 7600, South Africa.
  • de Oliveira T; Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch 7600, South Africa.
  • Desta AF; KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban 4001, South Africa.
  • San JE; Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch 7600, South Africa.
Genes (Basel) ; 14(3)2023 03 13.
Article em En | MEDLINE | ID: mdl-36980977
ABSTRACT
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Idioma: En Ano de publicação: 2023 Tipo de documento: Article