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Genomic surveillance of SARS-CoV-2 in COVID-19 vaccinated healthcare workers in Lebanon.
AlKalamouni, Habib; Abou Hassan, Farouk F; Bou Hamdan, Mirna; Page, Andrew J; Lott, Martin; Matthews, Michaela; Ghosn, Nada; Rady, Alissar; Mahfouz, Rami; Araj, George F; Dbaibo, Ghassan; Zaraket, Hassan; Melhem, Nada M; Matar, Ghassan M.
  • AlKalamouni H; Department of Experimental Pathology, Immunology, and Microbiology, Center for Infectious Diseases Research, Faculty of Medicine, American University of Beirut, Beirut, 1107 2020, Lebanon.
  • Abou Hassan FF; Center for Infectious Diseases Research, Faculty of Medicine, American University of Beirut, Beirut, Lebanon.
  • Bou Hamdan M; Medical Laboratory Sciences Program, Division of Health Professions, Faculty of Health Sciences, American University of Beirut, Beirut, 1107 2020, Lebanon.
  • Page AJ; Medical Laboratory Sciences Program, Division of Health Professions, Faculty of Health Sciences, American University of Beirut, Beirut, 1107 2020, Lebanon.
  • Lott M; Quadram Institute Bioscience, Norwich Research Park, Norwich, UK.
  • Matthews M; Quadram Institute Bioscience, Norwich Research Park, Norwich, UK.
  • Ghosn N; Quadram Institute Bioscience, Norwich Research Park, Norwich, UK.
  • Rady A; Epidemiological Surveillance Unit, Ministry of Public Health, Beirut, Lebanon.
  • Mahfouz R; World Health Organization, Beirut, Lebanon.
  • Araj GF; Center for Infectious Diseases Research, Faculty of Medicine, American University of Beirut, Beirut, Lebanon.
  • Dbaibo G; Department of Pathology and Laboratory Medicine, Faculty of Medicine, American University of Beirut, Beirut, Lebanon.
  • Zaraket H; Center for Infectious Diseases Research, Faculty of Medicine, American University of Beirut, Beirut, Lebanon.
  • Melhem NM; Department of Pathology and Laboratory Medicine, Faculty of Medicine, American University of Beirut, Beirut, Lebanon.
  • Matar GM; Center for Infectious Diseases Research, Faculty of Medicine, American University of Beirut, Beirut, Lebanon.
BMC Med Genomics ; 16(1): 14, 2023 01 27.
Article in English | MEDLINE | ID: covidwho-2224170
ABSTRACT

BACKGROUND:

The emergence of SARS-CoV-2 variants including the Delta and Omicron along with waning of vaccine-induced immunity over time contributed to increased rates of breakthrough infection specifically among healthcare workers (HCWs). SARS-CoV-2 genomic surveillance is an important tool for timely detection and characterization of circulating variants as well as monitoring the emergence of new strains. Our study is the first national SARS-CoV-2 genomic surveillance among HCWs in Lebanon.

METHODS:

We collected 250 nasopharyngeal swabs from HCWs across Lebanon between December 2021 and January 2022. Data on the date of positive PCR, vaccination status, specific occupation, and hospitalization status of participants were collected. Extracted viral RNA from nasopharyngeal swabs was converted to cDNA, library prepped using the coronaHIT method, followed by whole genome sequencing on the Illumina NextSeq 500 platform.

RESULTS:

A total of 133 (57.1%) samples belonging to the Omicron (BA.1.1) sub-lineage were identified, as well as 44 (18.9%) samples belonging to the BA.1 sub-lineage, 28 (12%) belonging to the BA.2 sub-lineage, and only 15 (6.6%) samples belonging to the Delta variant sub-lineage B.1.617.2. These results show that Lebanon followed the global trend in terms of circulating SARS-CoV-2 variants with Delta rapidly replaced by the Omicron variant.

CONCLUSION:

This study underscores the importance of continuous genomic surveillance programs in Lebanon for the timely detection and characterization of circulating variants. The latter is critical to guide public health policy making and to timely implement public health interventions.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Observational study Topics: Vaccines / Variants Limits: Humans Country/Region as subject: Asia Language: English Journal: BMC Med Genomics Journal subject: Genetics, Medical Year: 2023 Document Type: Article Affiliation country: S12920-023-01443-9

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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Observational study Topics: Vaccines / Variants Limits: Humans Country/Region as subject: Asia Language: English Journal: BMC Med Genomics Journal subject: Genetics, Medical Year: 2023 Document Type: Article Affiliation country: S12920-023-01443-9