Journal article
Superspreaders drive the largest outbreaks of hospital onset COVID-19 infections
- Abstract:
-
SARS-CoV-2 is notable both for its rapid spread, and for the heterogeneity of its patterns of transmission, with multiple published incidences of superspreading behaviour. Here, we applied a novel network reconstruction algorithm to infer patterns of viral transmission occurring between patients and health care workers (HCWs) in the largest clusters of COVID-19 infection identified during the first wave of the epidemic at Cambridge University Hospitals NHS Foundation Trust, UK. Based upon dat...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Authors
Funding
Wellcome Trust
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Bibliographic Details
- Publisher:
- eLife Sciences Publications Publisher's website
- Journal:
- eLife Journal website
- Volume:
- 10
- Article number:
- e67308
- Publication date:
- 2021-08-24
- Acceptance date:
- 2021-07-15
- DOI:
- EISSN:
-
2050-084X
- Pmid:
-
34425938
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
1195310
- Local pid:
- pubs:1195310
- Deposit date:
- 2021-12-21
Terms of use
- Copyright holder:
- Illingworth et al.
- Copyright date:
- 2021
- Rights statement:
- © 2021, Illingworth et al. This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.
- Licence:
- CC Attribution (CC BY)
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