Colonization and transmission of Staphylococcus aureus in schools: a citizen science project Article Swipe
Andries J. van Tonder
,
Frances McCullagh
,
Hanan McKeand
,
Sue Thaw
,
Katie Bellis
,
Claire Raisen
,
Liz Lay
,
Dinesh Aggarwal
,
Mark A. Holmes
,
Julian Parkhill
,
Ewan M. Harrison
,
Adam J. Kucharski
,
Andrew J. K. Conlan
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1099/mgen.0.000993
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1099/mgen.0.000993
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.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1099/mgen.0.000993
- OA Status
- gold
- Cited By
- 5
- References
- 54
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4366351792
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4366351792Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1099/mgen.0.000993Digital Object Identifier
- Title
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Colonization and transmission of Staphylococcus aureus in schools: a citizen science projectWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-04-19Full publication date if available
- Authors
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Andries J. van Tonder, Frances McCullagh, Hanan McKeand, Sue Thaw, Katie Bellis, Claire Raisen, Liz Lay, Dinesh Aggarwal, Mark A. Holmes, Julian Parkhill, Ewan M. Harrison, Adam J. Kucharski, Andrew J. K. ConlanList of authors in order
- Landing page
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https://doi.org/10.1099/mgen.0.000993Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.1099/mgen.0.000993Direct OA link when available
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Transmission (telecommunications), Staphylococcus aureus, Colonization, Representativeness heuristic, Biology, Medicine, Microbiology, Genetics, Psychology, Social psychology, Bacteria, Computer science, TelecommunicationsTop concepts (fields/topics) attached by OpenAlex
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5Total citation count in OpenAlex
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2025: 3, 2024: 1, 2023: 1Per-year citation counts (last 5 years)
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54Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.out | 97 |
| abstract_inverted_index.the | 25, 42, 87, 92, 120, 128 |
| abstract_inverted_index.too | 158 |
| abstract_inverted_index.two | 71 |
| abstract_inverted_index.was | 108 |
| abstract_inverted_index.also | 124 |
| abstract_inverted_index.been | 6, 53 |
| abstract_inverted_index.from | 91, 113, 119 |
| abstract_inverted_index.link | 43 |
| abstract_inverted_index.make | 161 |
| abstract_inverted_index.rare | 159 |
| abstract_inverted_index.same | 93 |
| abstract_inverted_index.such | 30 |
| abstract_inverted_index.test | 77, 84 |
| abstract_inverted_index.that | 151, 174, 189 |
| abstract_inverted_index.this | 167 |
| abstract_inverted_index.tool | 165 |
| abstract_inverted_index.used | 22, 60 |
| abstract_inverted_index.well | 54 |
| abstract_inverted_index.were | 116, 123 |
| abstract_inverted_index.data. | 40 |
| abstract_inverted_index.found | 171, 185 |
| abstract_inverted_index.imply | 188 |
| abstract_inverted_index.links | 144 |
| abstract_inverted_index.local | 121 |
| abstract_inverted_index.model | 65 |
| abstract_inverted_index.rates | 184 |
| abstract_inverted_index.route | 179 |
| abstract_inverted_index.swabs | 112 |
| abstract_inverted_index.their | 103 |
| abstract_inverted_index.this, | 58 |
| abstract_inverted_index.track | 68 |
| abstract_inverted_index.which | 114 |
| abstract_inverted_index.Whilst | 169 |
| abstract_inverted_index.assess | 127 |
| abstract_inverted_index.aureus | 62, 105, 153 |
| abstract_inverted_index.depend | 36 |
| abstract_inverted_index.driver | 12 |
| abstract_inverted_index.filled | 96 |
| abstract_inverted_index.formal | 141 |
| abstract_inverted_index.impact | 26 |
| abstract_inverted_index.models | 19 |
| abstract_inverted_index.school | 131 |
| abstract_inverted_index.social | 46, 82, 99, 148 |
| abstract_inverted_index.source | 196 |
| abstract_inverted_index.status | 107 |
| abstract_inverted_index.strain | 89 |
| abstract_inverted_index.survey | 101 |
| abstract_inverted_index.viable | 164 |
| abstract_inverted_index.within | 70, 155, 186 |
| abstract_inverted_index.England | 75 |
| abstract_inverted_index.address | 57 |
| abstract_inverted_index.between | 44, 80, 145 |
| abstract_inverted_index.contact | 39, 100 |
| abstract_inverted_index.control | 28 |
| abstract_inverted_index.genomic | 146 |
| abstract_inverted_index.predict | 24 |
| abstract_inverted_index.schools | 4, 73, 156, 175, 187 |
| abstract_inverted_index.through | 110 |
| abstract_inverted_index.However, | 41 |
| abstract_inverted_index.Isolates | 118 |
| abstract_inverted_index.Students | 95 |
| abstract_inverted_index.analysis | 142 |
| abstract_inverted_index.children | 2, 191 |
| abstract_inverted_index.commonly | 35 |
| abstract_inverted_index.contacts | 47 |
| abstract_inverted_index.evidence | 173 |
| abstract_inverted_index.isolates | 115 |
| abstract_inverted_index.organism | 66 |
| abstract_inverted_index.pathogen | 49 |
| abstract_inverted_index.purpose. | 168 |
| abstract_inverted_index.testing, | 34 |
| abstract_inverted_index.bacterial | 88 |
| abstract_inverted_index.collected | 90 |
| abstract_inverted_index.community | 122, 198 |
| abstract_inverted_index.contacts, | 83 |
| abstract_inverted_index.diseases. | 17 |
| abstract_inverted_index.frequency | 135 |
| abstract_inverted_index.important | 178, 195 |
| abstract_inverted_index.increased | 182 |
| abstract_inverted_index.isolates. | 132 |
| abstract_inverted_index.measures, | 29 |
| abstract_inverted_index.networks, | 149 |
| abstract_inverted_index.precluded | 139 |
| abstract_inverted_index.secondary | 72 |
| abstract_inverted_index.sequenced | 125 |
| abstract_inverted_index.students. | 94 |
| abstract_inverted_index.described. | 55 |
| abstract_inverted_index.infectious | 16 |
| abstract_inverted_index.positivity | 85 |
| abstract_inverted_index.school-age | 190 |
| abstract_inverted_index.sequenced. | 117 |
| abstract_inverted_index.suggesting | 150 |
| abstract_inverted_index.Aggregation | 0 |
| abstract_inverted_index.ascertained | 109 |
| abstract_inverted_index.established | 7 |
| abstract_inverted_index.vaccination | 32 |
| abstract_inverted_index.Mathematical | 18 |
| abstract_inverted_index.associations | 79 |
| abstract_inverted_index.colonization | 106, 183 |
| abstract_inverted_index.transmission | 14, 21, 50, 69, 138, 154 |
| abstract_inverted_index.genome-linked | 137 |
| abstract_inverted_index.self-reported | 38, 45, 81 |
| abstract_inverted_index.transmission, | 181 |
| abstract_inverted_index.transmission. | 199 |
| abstract_inverted_index.Staphylococcus | 61 |
| abstract_inverted_index.self-administered | 111 |
| abstract_inverted_index.representativeness | 129 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 13 |
| citation_normalized_percentile.value | 0.82901795 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |