Colonization and transmission of Staphylococcus aureus in schools: a citizen science project

Andries J. van Tonder*, Frances McCullagh, Hanan McKeand, Sue Thaw, Katie Bellis, Claire Raisen, Liz Lay, Dinesh Aggarwal, Mark Holmes, Julian Parkhill, Ewan M. Harrison, Adam Kucharski, Andrew Conlan

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Aggregation of children in schools has been established to be a key driver of transmission of infectious diseases. Mathematical models of transmission used to predict the impact of control measures, such as vaccination and testing, commonly depend on self-reported contact data. However, the link between self-reported social contacts and pathogen transmission has not been well described. To address this, we used Staphylococcus aureus as a model organism to track transmission within two secondary schools in England and test for associations between self-reported social contacts, test positivity and the bacterial strain collected from the same students. Students filled out a social contact survey and their S. aureus colonization status was ascertained through self-administered swabs from which isolates were sequenced. Isolates from the local community were also sequenced to assess the representativeness of school isolates. A low frequency of genome-linked transmission precluded a formal analysis of links between genomic and social networks, suggesting that S. aureus transmission within schools is too rare to make it a viable tool for this purpose. Whilst we found no evidence that schools are an important route of transmission, increased colonization rates found within schools imply that school-age children may be an important source of community transmission.

Original languageEnglish
Article number000993
JournalMicrobial Genomics
Volume9
Issue number4
DOIs
Publication statusPublished - 1 Apr 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2023 The Authors.

Keywords

  • MRSA
  • WGS
  • schools
  • social network analysis
  • transmission

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