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Using a real-world network to model localized COVID-19 control strategies

Abstract:

Case isolation and contact tracing can contribute to the control of COVID-19 outbreaks1,2. However, it remains unclear how real-world social networks could influence the effectiveness and efficiency of such approaches. To address this issue, we simulated control strategies for SARS-CoV-2 transmission in a real-world social network generated from high-resolution GPS data that were gathered in the course of a citizen-science experiment3,4. We found that tracing the contacts of contacts reduced ...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/s41591-020-1036-8

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Zoology
Sub department:
Zoology
Oxford college:
Merton College
Role:
Author
ORCID:
0000-0001-7183-4115
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Role:
Author
ORCID:
0000-0003-2683-0849
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Role:
Author
ORCID:
0000-0001-6000-8387
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Publisher:
Nature Research Publisher's website
Journal:
Nature Medicine Journal website
Volume:
26
Issue:
2020
Pages:
1616–1622
Publication date:
2020-08-07
Acceptance date:
2020-07-27
DOI:
EISSN:
1546-170X
ISSN:
1078-8956
Language:
English
Keywords:
Pubs id:
1124145
Local pid:
pubs:1124145
Deposit date:
2020-08-07

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