{# Audit 04/10/2026 : « autre » n'est pas un code de langue ; SPHAERO n'est pas l'éditeur des documents qu'elle héberge ou référence. #} {# citation_pdf_url doit mener à un PDF : un lien vers une page DOI est pénalisé par Google Scholar (avant : tout lien externe). #}
Accès ouvert · CC BY

Genomic epidemiology of SARS-CoV-2 in Senegal in 2020-2021

Article scientifique 2024 Anglais

Résumé

INTRODUCTION: In Senegal, molecular diagnosis was widely used for the detection and management of COVID-19 patients. However, genomic surveillance was very limited in the public sector. This study aimed to share the experience of a Senegalese public sector laboratory in response to the COVID-19 pandemic, and to describe the distribution of variants circulating in 2020 and 2021. METHODOLOGY: From July 2020 to December 2021, SARS-CoV-2 qRT-PCR was performed on nasopharyngeal samples from travelers and symptomatic patients at the Bacteriology and Virology Laboratory (LBV) of the Aristide le Dantec University Teaching Hospital. Samples with a cycle threshold (Ct) ≤ 30 were selected for whole-genome sequencing (WGS) using the Nanopore technology. In-house scripts were developed to study the spatial and temporal distribution of SARS-CoV-2 variants in Senegal, using our sequences and those retrieved from the GISAID database. RESULTS: Of 8,207 patients or travelers screened for SARS-CoV-2, 970 (11.8%) were positive and 386 had a Ct ≤ 30. WGS was performed on 133 samples. Concomitantly with high-quality sequences deposited in the GISAID database covering nine cities in Senegal in 2020 and 2021 (n = 1,539), we observed a high circulation of the 20A (B.1, B.1.416 and B.1.620) and 20B (B.1.1.420) lineages in 2020, while most of the samples belonged to Delta variants (AY34 and AY.34.1, 22%) in 2021. CONCLUSIONS: Despite its late involvement, COVID-19 diagnosis was routinely performed in LBV, but genomic characterization remained challenging. The genomic diversity of SARS-CoV-2 strains in Senegal reflected that observed worldwide during the first waves of the pandemic.

Citer ce document

Ba, A. A., Coppée, R., Dieng, A., Manneh, J., Fall, M., Gueye, K., Sène, P. Y., Ndiour, S., Samaté, D., Manga, P., Diongue, O. D., Camara, A., Padane, A., Diallo, S., Gueye, S. B., Camara, M., Sesay, A. K., Touré‐Kâne, C., Mboup, S., Charpentier, C., & Diop‐Ndiaye, H. (2024). Genomic epidemiology of SARS-CoV-2 in Senegal in 2020-2021. The Journal of Infection in Developing Countries. https://doi.org/10.3855/jidc.17796

Exporter : BibTeX · RIS (Zotero, Mendeley, EndNote)

Accès au document

Texte intégral en lecture en ligne, réservé aux abonnés SPHAERO et aux membres de l'institution. Se connecter

Voir l'article sur le site de la revue

Licence et provenance

Licence : CC BY

Notice moissonnée depuis OpenAlex le 27/09/2026. Le document reste hébergé par sa source.
Voir le document à la source →

Statistiques

Consultations : 1

Téléchargements : 0