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Genomic epidemiology of SARS-CoV-2 during the first four waves in Mozambique.
Ismael, Nalia; van Wyk, Stephanie; Tegally, Houriiyah; Giandhari, Jennifer; San, James Emmanuel; Moir, Monika; Pillay, Sureshnee; Utpatel, Christian; Singh, Lavanya; Naidoo, Yeshnee; Ramphal, Upasana; Mabunda, Nédio; Abílio, Nuro; Arnaldo, Paulo; Xavier, Joicymara; Amoako, Daniel Gyamfi; Everatt, Josie; Ramphal, Yajna; Maharaj, Arisha; de Araujo, Leonardo; Anyaneji, Ugochukwu J; Tshiabuila, Derek; Viegas, Sofia; Lessells, Richard; Engelbrecht, Susan; Gudo, Eduardo; Jani, Ilesh; Niemann, Stefan; Wilkinson, Eduan; de Oliveira, Túlio.
Afiliación
  • Ismael N; Instituto Nacional de Saúde (INS), Marracuene, Mozambique.
  • van Wyk S; Division of Medical Virology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
  • Tegally H; Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
  • Giandhari J; Kwazulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of Kwazulu-Natal, Durban, South Africa.
  • San JE; Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
  • Moir M; Kwazulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of Kwazulu-Natal, Durban, South Africa.
  • Pillay S; Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
  • Utpatel C; Kwazulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of Kwazulu-Natal, Durban, South Africa.
  • Singh L; Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
  • Naidoo Y; Kwazulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of Kwazulu-Natal, Durban, South Africa.
  • Ramphal U; Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
  • Mabunda N; Kwazulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of Kwazulu-Natal, Durban, South Africa.
  • Abílio N; Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
  • Arnaldo P; Kwazulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of Kwazulu-Natal, Durban, South Africa.
  • Xavier J; Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany.
  • Amoako DG; Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
  • Everatt J; Kwazulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of Kwazulu-Natal, Durban, South Africa.
  • Ramphal Y; Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
  • Maharaj A; Kwazulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of Kwazulu-Natal, Durban, South Africa.
  • de Araujo L; Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
  • Anyaneji UJ; Kwazulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of Kwazulu-Natal, Durban, South Africa.
  • Tshiabuila D; Instituto Nacional de Saúde (INS), Marracuene, Mozambique.
  • Viegas S; Instituto Nacional de Saúde (INS), Marracuene, Mozambique.
  • Lessells R; Instituto Nacional de Saúde (INS), Marracuene, Mozambique.
  • Engelbrecht S; Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
  • Gudo E; Kwazulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of Kwazulu-Natal, Durban, South Africa.
  • Jani I; Institute of Agricultural Sciences, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Unaí, Brasil.
  • Niemann S; Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases (NICD) of the National Health Laboratory Service, Johannesburg, South Africa.
  • Wilkinson E; School of Health Sciences, College of Health Sciences, University of KwaZulu-Natal, KwaZulu-Natal, South Africa.
  • de Oliveira T; Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases (NICD) of the National Health Laboratory Service, Johannesburg, South Africa.
PLOS Glob Public Health ; 3(3): e0001593, 2023.
Article en En | MEDLINE | ID: mdl-36963096
ABSTRACT
Mozambique reported the first case of coronavirus disease 2019 (COVID-19) in March 2020 and it has since spread to all provinces in the country. To investigate the introductions and spread of SARS-CoV-2 in Mozambique, 1 142 whole genome sequences sampled within Mozambique were phylogenetically analyzed against a globally representative set, reflecting the first 25 months of the epidemic. The epidemic in the country was marked by four waves of infection, the first associated with B.1 ancestral lineages, while the Beta, Delta, and Omicron Variants of Concern (VOCs) were responsible for most infections and deaths during the second, third, and fourth waves. Large-scale viral exchanges occurred during the latter three waves and were largely attributed to southern African origins. Not only did the country remain vulnerable to the introductions of new variants but these variants continued to evolve within the borders of the country. Due to the Mozambican health system already under constraint, and paucity of data in Mozambique, there is a need to continue to strengthen and support genomic surveillance in the country as VOCs and Variants of interests (VOIs) are often reported from the southern African region.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Screening_studies Idioma: En Revista: PLOS Glob Public Health Año: 2023 Tipo del documento: Article País de afiliación: Mozambique

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Screening_studies Idioma: En Revista: PLOS Glob Public Health Año: 2023 Tipo del documento: Article País de afiliación: Mozambique