Combined epidemiology and genetic sequencing surveillance in the era of COVID-19 pandemic; Abu Dhabi experience, United Arab Emirates.

Abuyadek, R ; Amirtharaj, F ; et al.

In: Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases, Jg. 109 (2023-04-01), S. 105411

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Background: United Arab Emirates, has reported the first case of COVID-19 in January 2020 and by October 2022, a total of 1 Million cases and 2348 deaths due to COVID-19 have been reported. The Abu Dhabi Public Health Center, has led a novel initiative to conduct a large scale genomic surveillance project. The aim of this surveillance project is to generate data to guide public health pandemic response decision making.

Methods: Samples mainly from the community, points of entry to the emirate and healthcare facilities were collected for surveillance using both targeted PCR and/or Genome sequence analysis. Sample criteria were defined and specific metadata were collected in parallel. Using the unique identifiers and through the available datasets, epidemiological and clinical data were integrated.

Results: A total of 385,191 sample undertake analysis (from January 2021 to October 2022) either genotyping and/or sequence analysis. The most frequently encountered lineages in the community and among severe cases were reported.

Conclusions: Genomic surveillance is a major tool essential for guiding public health measures throughout the pandemic.

Competing Interests: Declaration of Competing Interest No Conflict of interest to be disclosed.

Titel:	Combined epidemiology and genetic sequencing surveillance in the era of COVID-19 pandemic; Abu Dhabi experience, United Arab Emirates.
Autor/in / Beteiligte Person:	Abuyadek, R ; Amirtharaj, F ; Al Marzooqi, S ; Mahmoud, S ; Al Hosani, F
Link:	Full Text Finder (Volltext)
Zeitschrift:	Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases, Jg. 109 (2023-04-01), S. 105411
Veröffentlichung:	Amsterdam ; New York : Elsevier Science, c2001-, 2023
Medientyp:	academicJournal
ISSN:	1567-7257 (electronic)
DOI:	10.1016/j.meegid.2023.105411
Schlagwort:	Humans Pandemics Public Health United Arab Emirates epidemiology COVID-19 epidemiology
Sonstiges:	Nachgewiesen in: MEDLINE Sprachen: English Publication Type: Journal Article; Research Support, Non-U.S. Gov't Language: English [Infect Genet Evol] 2023 Apr; Vol. 109, pp. 105411. <i>Date of Electronic Publication: </i>2023 Feb 10. MeSH Terms: COVID-19* / epidemiology ; Humans ; Pandemics ; Public Health ; United Arab Emirates / epidemiology Contributed Indexing: Keywords: Genetic Sequencing; Genomic epidemiology; SARS-CoV-2; Surveillance applications; Surveillance program; Surveillance strategies Entry Date(s): Date Created: 20230212 Date Completed: 20230320 Latest Revision: 20230320 Update Code: 20240513

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