Genomic epidemiology of SARS-CoV-2 infections in The Gambia: an analysis of routinely collected surveillance data between March, 2020, and January, 2022. Issue 3 (March 2023)
- Record Type:
- Journal Article
- Title:
- Genomic epidemiology of SARS-CoV-2 infections in The Gambia: an analysis of routinely collected surveillance data between March, 2020, and January, 2022. Issue 3 (March 2023)
- Main Title:
- Genomic epidemiology of SARS-CoV-2 infections in The Gambia: an analysis of routinely collected surveillance data between March, 2020, and January, 2022
- Authors:
- Kanteh, Abdoulie
Jallow, Haruna S
Manneh, Jarra
Sanyang, Bakary
Kujabi, Mariama A
Ndure, Sainabou Laye
Jarju, Sheikh
Sey, Alhagie Papa
Damilare K, Dabiri
Bah, Yaya
Sambou, Sana
Jarju, Gibril
Manjang, Buba
Jagne, Abubacarr
Bittaye, Sheikh Omar
Bittaye, Mustapha
Forrest, Karen
Tiruneh, Desta Alamerew
Samateh, Ahmadou Lamin
Jagne, Sheriffo
Hué, Stéphane
Mohammed, Nuredin
Amambua-Ngwa, Alfred
Kampmann, Beate
D'Alessandro, Umberto
de Silva, Thushan I
Roca, Anna
Sesay, Abdul Karim - Abstract:
- Summary: Background: COVID-19, caused by SARS-CoV-2, is one of the deadliest pandemics of the past 100 years. Genomic sequencing has an important role in monitoring of the evolution of the virus, including the detection of new viral variants. We aimed to describe the genomic epidemiology of SARS-CoV-2 infections in The Gambia. Methods: Nasopharyngeal or oropharyngeal swabs collected from people with suspected cases of COVID-19 and international travellers were tested for SARS-CoV-2 with standard RT-PCR methods. SARS-CoV-2-positive samples were sequenced according to standard library preparation and sequencing protocols. Bioinformatic analysis was done using ARTIC pipelines and Pangolin was used to assign lineages. To construct phylogenetic trees, sequences were first stratified into different COVID-19 waves (waves 1–4) and aligned. Clustering analysis was done and phylogenetic trees constructed. Findings: Between March, 2020, and January, 2022, 11 911 confirmed cases of COVID-19 were recorded in The Gambia, and 1638 SARS-CoV-2 genomes were sequenced. Cases were broadly distributed into four waves, with more cases during the waves that coincided with the rainy season (July–October). Each wave occurred after the introduction of new viral variants or lineages, or both, generally those already established in Europe or in other African countries. Local transmission was higher during the first and third waves (ie, those that corresponded with the rainy season), in which theSummary: Background: COVID-19, caused by SARS-CoV-2, is one of the deadliest pandemics of the past 100 years. Genomic sequencing has an important role in monitoring of the evolution of the virus, including the detection of new viral variants. We aimed to describe the genomic epidemiology of SARS-CoV-2 infections in The Gambia. Methods: Nasopharyngeal or oropharyngeal swabs collected from people with suspected cases of COVID-19 and international travellers were tested for SARS-CoV-2 with standard RT-PCR methods. SARS-CoV-2-positive samples were sequenced according to standard library preparation and sequencing protocols. Bioinformatic analysis was done using ARTIC pipelines and Pangolin was used to assign lineages. To construct phylogenetic trees, sequences were first stratified into different COVID-19 waves (waves 1–4) and aligned. Clustering analysis was done and phylogenetic trees constructed. Findings: Between March, 2020, and January, 2022, 11 911 confirmed cases of COVID-19 were recorded in The Gambia, and 1638 SARS-CoV-2 genomes were sequenced. Cases were broadly distributed into four waves, with more cases during the waves that coincided with the rainy season (July–October). Each wave occurred after the introduction of new viral variants or lineages, or both, generally those already established in Europe or in other African countries. Local transmission was higher during the first and third waves (ie, those that corresponded with the rainy season), in which the B.1.416 lineage and delta (AY.34.1) were dominant, respectively. The second wave was driven by the alpha and eta variants and the B.1.1.420 lineage. The fourth wave was driven by the omicron variant and was predominantly associated with the BA.1.1 lineage. Interpretation: More cases of SARS-CoV-2 infection were recorded in The Gambia during peaks of the pandemic that coincided with the rainy season, in line with transmission patterns for other respiratory viruses. The introduction of new lineages or variants preceded epidemic waves, highlighting the importance of implementing well structured genomic surveillance at a national level to detect and monitor emerging and circulating variants. Funding: Medical Research Unit The Gambia at London School of Hygiene & Tropical Medicine, UK Research and Innovation, WHO. … (more)
- Is Part Of:
- Lancet. Volume 11:Issue 3(2023)
- Journal:
- Lancet
- Issue:
- Volume 11:Issue 3(2023)
- Issue Display:
- Volume 11, Issue 3 (2023)
- Year:
- 2023
- Volume:
- 11
- Issue:
- 3
- Issue Sort Value:
- 2023-0011-0003-0000
- Page Start:
- e414
- Page End:
- e424
- Publication Date:
- 2023-03
- Subjects:
- World health -- Periodicals
362.105 - Journal URLs:
- http://www.sciencedirect.com/science/journal/2214109X ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/S2214-109X(22)00553-8 ↗
- Languages:
- English
- ISSNs:
- 2214-109X
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library DSC - BLDSS-3PM
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