Genomic and epidemiological analysis of SARS-CoV-2 variants isolated in Guinea: a routine sequencing implementation
2025

Analysis of SARS-CoV-2 Variants in Guinea

Sample size: 363 publication Evidence: moderate

Author Information

Author(s): Mbaye Aminata, Diallo Haby, Gnimadi Thibaut Armel Cherif, Kadio Kadio Jean Jacques Olivier, Soumah Abdoul Karim, Koivogui Joel Balle, Monemou Jean Louis, Povogui Moriba Kowa, Kaba Djiba, Hounmenou Castro, Serrano Laetitia, Butel Christelle, Nuñez Nicolas Fernandez, Vidal Nicole, Guichet Emilande, Delaporte Eric, Ayouba Ahidjo, Peeters Martine, Toure Abdoulaye, Keita Alpha Kabinet

Primary Institution: Centre de Recherche et de Formation en Infectiologie de Guinée (CERFIG), Université Gamal Abder Nasser de Conakry, Conakry, Guinea

Hypothesis

This study aimed to determine the SARS-CoV-2 lineages and better characterize the dynamics of the pandemic during the different waves in Guinea.

Conclusion

The study provides insights into the epidemic dynamics of SARS-CoV-2 in Guinea, highlighting the significant variants that circulated and the importation and exportation of the virus during the pandemic.

Supporting Evidence

  • The study analyzed 363 samples of SARS-CoV-2 variants collected in Guinea.
  • Results showed the circulation of SARS-CoV-2 in three distinct periods with different lineages.
  • Significant variants included Alpha, Delta, and Omicron, with the majority being Omicron during the later period.
  • Importation and exportation of the virus were noted between Guinea and neighboring countries.

Takeaway

The researchers looked at different versions of the COVID-19 virus in Guinea to see how they spread over time and found that some versions were brought in from other countries.

Methodology

Whole genome sequencing of 363 samples with PCR cycle threshold (Ct) values under thirty was undertaken between May 2020 and May 2023 using Illumina iSeq 100 technology.

Limitations

Sub-sampling and degradation of samples for sequences were observed, and organization and collaboration between laboratories are needed for better sample collection and storage.

Participant Demographics

{"gender_distribution":{"male":64,"female":35,"unknown":1},"age_distribution":{"under_20":9.1,"20_to_40":51.9,"41_to_60":28.8,"over_60":10}}

Digital Object Identifier (DOI)

10.1186/s12879-024-10411-2

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