Unraveling a Nosocomial Outbreak of COVID-19: The Role of Whole-Genome Sequence Analysis

Author:

Meijer Suzy E12,Harel Noam34,Ben-Ami Ronen12,Nahari Meital12,Yakubovsky Michal12,Oster Howard S52,Kolomansky Albert52,Halutz Ora62,Laskar Orly7,Henig Oryan12,Stern Adi34ORCID,Paran Yael12ORCID

Affiliation:

1. Department of Infectious Diseases and Epidemiology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel

2. Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel

3. The Shmunis School of Biomedicine and Cancer Research, Tel Aviv University, Tel Aviv, Israel

4. Edmond J. Safra Center for Bioinformatics at Tel Aviv University, Tel Aviv, Israel

5. Department of Internal Medicine, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel

6. Laboratory of Microbiology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel

7. The Department of Infectious Diseases, Israel Institute for Biological Research, Ness-Ziona, Israel

Abstract

Abstract Background The coronavirus disease 2019 (COVID-19) pandemic poses many epidemiological challenges. The investigation of nosocomial transmission is usually performed via thorough investigation of an index case and subsequent contact tracing. Notably, this approach has a subjective component, and there is accumulating evidence that whole-genome sequencing of the virus may provide more objective insight. Methods We report a large nosocomial outbreak in 1 of the medicine departments in our institution. Following intensive epidemiological investigation, we discovered that 1 of the patients involved was suffering from persistent COVID-19 while initially thought to be a recovering patient. She was therefore deemed to be the most likely source of the outbreak. We then performed whole-genome sequencing of the virus of 14 infected individuals involved in the outbreak. Results Surprisingly, the results of whole-genome sequencing refuted our initial hypothesis. A phylogenetic tree of the samples showed multiple introductions of the virus into the ward, 1 of which led to a cluster of 10 of the infected individuals. Importantly, the results pointed in the direction of a specific index patient that was different from the 1 that arose from our initial investigation. Conclusions These results underscore the important added value of using whole-genome sequencing in epidemiological investigations as it may reveal unexpected connections between cases and aid in understanding transmission dynamics, especially in the setting of a pandemic where multiple possible index cases exist simultaneously.

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Oncology

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