Your browser doesn't support javascript.
loading
SARS-CoV-2 in schools: genome analysis shows that concurrent cases in the second and third wave were often unconnected
Madlen Stange; Eva Wuerfel; Jelissa Katharina Peter; Helena Seth-Smith; Tim Roloff; Severin Gsponer; Alfredo Mari; Blanca Cabrera Gil; Aitana Lebrand; Fanny Wegner; Ulrich Heininger; Julia Bielicki; Sarah Tschudin Sutter; Tanja Stadler; Karoline Leuzinger; Hans H. Hirsch; Markus Ledergerber; Simon Fuchs; Adrian Egli.
Afiliação
  • Madlen Stange; Applied Microbiology Research, Department of Biomedicine, University of Basel, Basel, Switzerland; Swiss Institute for Bioinformatics (SIB)- Basel, Switzerland;
  • Eva Wuerfel; Child and Youth Health Service, Department of Health Basel-City, Basel, Switzerland
  • Jelissa Katharina Peter; Department of Health Basel-City, Basel, Switzerland
  • Helena Seth-Smith; Clinical Bacteriology and Mycology, University Hospital Basel & University of Basel, Basel, Switzerland; Swiss Institute for Bioinformatics (SIB) - Basel, Switz
  • Tim Roloff; Clinical Bacteriology and Mycology, University Hospital Basel & University of Basel, Basel, Switzerland; Swiss Institute for Bioinformatics (SIB) - Basel, Switz
  • Severin Gsponer; Department of Health Basel-City, Basel, Switzerland
  • Alfredo Mari; Applied Microbiology Research, Department of Biomedicine, University of Basel, Basel, Switzerland; Swiss Institute for Bioinformatics (SIB) - Basel, Switzerland
  • Blanca Cabrera Gil; SIB Swiss Institute of Bioinformatics - Geneva, Switzerland
  • Aitana Lebrand; SIB Swiss Institute of Bioinformatics - Geneva, Switzerland
  • Fanny Wegner; Clinical Bacteriology and Mycology, University Hospital Basel & University of Basel, Basel, Switzerland; Swiss Institute for Bioinformatics (SIB) - Basel, Switz
  • Ulrich Heininger; Paediatric Infectious Diseases and Vaccinology, University of Basel Children's Hospital Basel and University of Basel, Basel, Switzerland
  • Julia Bielicki; Paediatric Infectious Diseases and Vaccinology, University of Basel Children's Hospital Basel and University of Basel, Basel, Switzerland
  • Sarah Tschudin Sutter; Infectious Diseases and Hospital Epidemiology, University Hospital Basel & University of Basel, Basel, Switzerland
  • Tanja Stadler; Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
  • Karoline Leuzinger; Clinical Virology, University Hospital Basel & University of Basel, Basel, Switzerland; Transplantation & Clinical Virology, Department Biomedicine, University
  • Hans H. Hirsch; Clinical Virology, University Hospital Basel & University of Basel, Basel, Switzerland; Transplantation & Clinical Virology, Department Biomedicine, University
  • Markus Ledergerber; Child and Youth Health Service, Department of Health Basel-City, Basel, Switzerland
  • Simon Fuchs; Department of Health Basel-City, Basel, Switzerland
  • Adrian Egli; Clinical Bacteriology and Mycology, University Hospital Basel & University of Basel, Basel, Switzerland; Clinical Bacteriology and Mycology, University Hospita
Preprint em Inglês | medRxiv | ID: ppmedrxiv-22269824
ABSTRACT
BackgroundThe risk of SARS-CoV-2 (SCoV2) infection in schools and student households is typically assessed using classical epidemiology whereby transmission is based on time of symptom onset and contact tracing data. Using such methodologies may be imprecise regarding transmission events of different, simultaneous SCoV2 variants spreading with different rates and directions in a given population. We analysed with high resolution the transmission among different communities, social networks, and educational institutions and the extent of outbreaks using whole genome sequencing (WGS). Methods and FindingsWe combined WGS and contact tracing spanning two pandemic waves from October 2020 to May 2021 in the Canton of Basel-City, Switzerland and performed an in-depth analysis of 235 cases relating to 22 educational institutions. We describe the caseload in educational institutions and the public health measures taken and delineate the WGS-supported outbreak surveillance. During the study period, 1,573 of 24,557 (6.4%) children and 410 of 3,726 (11%) staff members from educational institutions were reported SCoV2 positive. Thereof, WGS data from 83 children, 35 adult staff in 22 educational institutions and their 117 contacts (social network, families) was available and analysed. 353 contextual sequences from residents of the Canton of Basel-City sequenced through surveillance were identified to be related to cases in the educational institutions. In total, we identified 55 clusters and found that coinciding SCoV2-cases in individual educational institutions were mostly introduced from different sources such as social networks or the larger community. More transmission chains started in the community and were brought into the educational institutions than vice versa (31 vs. 13). Adolescents (12-19 years old) had the highest case prevalence over both waves compared to younger children or adults, especially for the emerging Alpha variant. ConclusionsIntroduction of SCoV2 into schools accounts for most events and reflects transmission closely related to social activity, whereby teenagers and young adults contribute to significant parallel activity. Combining WGS with contact tracing is pivotal to properly inform authorities about SCoV2 infection clusters and transmission directions in educational settings and the effectiveness of enacted public health measures. The gathered data showing more clusters to seed in the community than vice versa as well as few subsequent in-school transmissions indicate that the agilely employed health measures for educational institutions helped to prevent outbreaks among staff and children. The clinical trial accession number is NCT04351503 (clinicaltrials.gov).
Licença
cc_by
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo observacional / Estudo prognóstico / Rct Idioma: Inglês Ano de publicação: 2022 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo observacional / Estudo prognóstico / Rct Idioma: Inglês Ano de publicação: 2022 Tipo de documento: Preprint
...