{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T00:42:28Z","timestamp":1792629748670,"version":"4.5.0"},"reference-count":28,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2025,1,31]],"date-time":"2025-01-31T00:00:00Z","timestamp":1738281600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100011061","name":"Agence Fran\u00e7aise de D\u00e9veloppement through the AFROSCREEN project","doi-asserted-by":"publisher","award":["CZZ3209"],"award-info":[{"award-number":["CZZ3209"]}],"id":[{"id":"10.13039\/501100011061","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Viruses"],"abstract":"<jats:p>In Guinea, genomic surveillance has been established to generate sequences of and to identify locally circulating SARS-CoV-2 variants. This study aims to describe the distributions, genetic diversity, and origins of SARS-CoV-2 lineages circulating in Guinea during the COVID-19 pandemic. A migration analysis was performed by selecting all sequences generated in Guinea for variants of concern and interest. From March 2020 to December 2023, 1038 sequences were generated in Guinea and submitted to the Global Initiative on Sharing All Influenza Data (GISAID) database. Of these, 73.1% corresponded to SARS-CoV-2 variants of concern, which were further grouped into Omicron (69.4%), Delta (21.9%), Alpha (6.6%), and Eta (2.1%). Other variants accounted for 26.9% of the total. Among the total variants analyzed, 75 importations into Guinea from various countries worldwide were identified. Most of the importations (40%) originated from African countries, followed in significance by those from European countries (25.3%) and Asia (18.6%). A significant migratory flow was observed within Guinea. The genomic surveillance reported in this study revealed the diversity of SARS-CoV-2 variants circulating in Guinea, emphasizing the importance of large-scale sequencing analyses in understanding the dynamics of the pandemic.<\/jats:p>","DOI":"10.3390\/v17020204","type":"journal-article","created":{"date-parts":[[2025,1,31]],"date-time":"2025-01-31T04:05:47Z","timestamp":1738296347000},"page":"204","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Genetic Diversity and Spatiotemporal Distribution of SARS-CoV-2 Variants in Guinea: A Meta-Analysis of Sequence Data (2020\u20132023)"],"prefix":"10.3390","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5129-2873","authenticated-orcid":false,"given":"Thibaut Armel Ch\u00e9rif","family":"Gnimadi","sequence":"first","affiliation":[{"name":"Centre de Recherche et de Formation en Infectiologie de Guin\u00e9e (CERFIG), Universit\u00e9 Gamal Abder Nasser de Conakry, Conakry 6629, Guinea"},{"name":"EFREI Research Lab, Panth\u00e9on Assas University, 30-32 Avenue de la R\u00e9publique, 94800 Villejuif, France"},{"name":"Laboratoire G\u00e9nomique, Bioinformatique et Chimie Mol\u00e9culaire, EA7528, Conservatoire National des Arts et M\u00e9tiers, HESAM Universit\u00e9, 2 Rue Cont\u00e9, 75003 Paris, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4477-1336","authenticated-orcid":false,"given":"Kadio Jean-Jacques Olivier","family":"Kadio","sequence":"additional","affiliation":[{"name":"Centre de Recherche et de Formation en Infectiologie de Guin\u00e9e (CERFIG), Universit\u00e9 Gamal Abder Nasser de Conakry, Conakry 6629, Guinea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4930-6903","authenticated-orcid":false,"given":"Mano Joseph","family":"Mathew","sequence":"additional","affiliation":[{"name":"EFREI Research Lab, Panth\u00e9on Assas 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