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Molecular Epidemiology of SARS-CoV-2 in Tunisia (North Africa) through Several Successive Waves of COVID-19
Authors:Anissa Chouikha  Wasfi Fares  Asma Laamari  Sondes Haddad-Boubaker  Zeineb Belaiba  Kais Ghedira  Wafa Kammoun Rebai  Kaouther Ayouni  Marwa Khedhiri  Samar Ben Halima  Henda Krichen  Henda Touzi  Imen Ben Dhifallah  Fatma Z. Guerfali  Chiraz Atri  Saifeddine Azouz  Oussema Khamessi  Monia Ardhaoui  Mouna Safer  Nissaf Ben Alaya  Ikram Guizani  Rym Kefi  Mariem Gdoura  Henda Triki
Abstract:Documenting the circulation dynamics of SARS-CoV-2 variants in different regions of the world is crucial for monitoring virus transmission worldwide and contributing to global efforts towards combating the pandemic. Tunisia has experienced several waves of COVID-19 with a significant number of infections and deaths. The present study provides genetic information on the different lineages of SARS-CoV-2 that circulated in Tunisia over 17 months. Lineages were assigned for 1359 samples using whole-genome sequencing, partial S gene sequencing and variant-specific real-time RT-PCR tests. Forty-eight different lineages of SARS-CoV-2 were identified, including variants of concern (VOCs), variants of interest (VOIs) and variants under monitoring (VUMs), particularly Alpha, Beta, Delta, A.27, Zeta and Eta. The first wave, limited to imported and import-related cases, was characterized by a small number of positive samples and lineages. During the second wave, a large number of lineages were detected; the third wave was marked by the predominance of the Alpha VOC, and the fourth wave was characterized by the predominance of the Delta VOC. This study adds new genomic data to the global context of COVID-19, particularly from the North African region, and highlights the importance of the timely molecular characterization of circulating strains.
Keywords:SARS-CoV-2   Tunisia   variant of concern   variant of interest   variants   next-generation sequencing   molecular characterization   COVID-19   partial sequencing   spike gene   next-generation sequencing
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