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Utility of SARS-CoV-2 Genomic Sequencing for Understanding Transmission and School Outbreaks.
Campigotto, Aaron; Chris, Allison; Orkin, Julia; Lau, Lynette; Marshall, Christian; Bitnun, Ari; Buchan, Sarah A; MacDonald, Liane; Thampi, Nisha; McCready, Janine; Juni, Peter; Parekh, Rulan S; Science, Michelle.
Afiliación
  • Campigotto A; From the Division of Microbiology, Department of Paediatric Laboratory Medicine, The Hospital for Sick Children.
  • Chris A; Department of Laboratory Medicine and Pathobiology, University of Toronto.
  • Orkin J; Toronto Public Health.
  • Lau L; Department of Paediatrics.
  • Marshall C; Division of Genome Diagnostics, Department of Paediatric Laboratory Medicine.
  • Bitnun A; Department of Laboratory Medicine and Pathobiology, University of Toronto.
  • Buchan SA; Division of Genome Diagnostics, Department of Paediatric Laboratory Medicine.
  • MacDonald L; Department of Paediatrics.
  • Thampi N; Division of Infectious Diseases, The Hospital for Sick Children.
  • McCready J; Public Health Ontario.
  • Juni P; Dalla Lana School of Public Health, University of Toronto.
  • Parekh RS; Public Health Ontario.
  • Science M; Department of Paediatrics, Children's Hospital of Eastern Ontario.
Pediatr Infect Dis J ; 42(4): 324-331, 2023 04 01.
Article en En | MEDLINE | ID: mdl-36795555
ABSTRACT

OBJECTIVE:

An understanding of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) transmission in schools is important. It is often difficult, using epidemiological information alone, to determine whether cases associated with schools represent multiple introductions from the community or transmission within the school. We describe the use of whole genome sequencing (WGS) in multiple schools to investigate outbreaks of SARS-CoV-2 in the pre-Omicron period. STUDY

DESIGN:

School outbreaks were identified for sequencing by local public health units based on multiple cases without known epidemiological links. Cases of SARS-CoV-2 from students and staff from 4 school outbreaks in Ontario underwent WGS and phylogenetic analysis. The epidemiological clinical cohort data and genomic cluster data are described to help further characterize these outbreaks.

RESULTS:

A total of 132 positive SARS-CoV-2 cases among students and staff from 4 school outbreaks were identified with 65 (49%) of cases able to be sequenced with high-quality genomic data. The 4 school outbreaks consisted of 53, 37, 21 and 21 positive cases; within each outbreak there were between 8 and 28 different clinical cohorts identified. Among the sequenced cases, between 3 and 7 genetic clusters, defined as different strains, were identified in each outbreak. We found genetically different viruses within several clinical cohorts.

CONCLUSIONS:

WGS, together with public health investigation, is a useful tool to investigate SARS-CoV-2 transmission within schools. Its early use has the potential to better understand when transmission may have occurred, can aid in evaluating how well mitigation interventions are working and has the potential to reduce unnecessary school closures when multiple genetic clusters are identified.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: SARS-CoV-2 / COVID-19 Límite: Humans Idioma: En Revista: Pediatr Infect Dis J Asunto de la revista: DOENCAS TRANSMISSIVEIS / PEDIATRIA Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: SARS-CoV-2 / COVID-19 Límite: Humans Idioma: En Revista: Pediatr Infect Dis J Asunto de la revista: DOENCAS TRANSMISSIVEIS / PEDIATRIA Año: 2023 Tipo del documento: Article