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eLife 10:e67417 (2021)
Analysing the characteristics of the SARS-CoV-2 virus makes it possible to estimate the length of quarantine that reduces the impact on society and the economy, while minimising infections.
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Publication type
Article: Journal article
Document type
Other: News Item
Keywords
Contact Tracing ; Covid-19 ; Epidemic Containment ; Epidemiology ; Global Health ; Human ; Quarantine ; Sars-cov-2; Adherence
Language
english
Publication Year
2021
HGF-reported in Year
2021
ISSN (print) / ISBN
2050-084X
e-ISSN
2050-084X
Journal
eLife
Quellenangaben
Volume: 10,
Article Number: e67417
Publisher
eLife Sciences Publications
Publishing Place
Sheraton House, Castle Park, Cambridge, Cb3 0ax, England
Reviewing status
Peer reviewed
Institute(s)
Institute of Computational Biology (ICB)
POF-Topic(s)
30205 - Bioengineering and Digital Health
Research field(s)
Enabling and Novel Technologies
PSP Element(s)
G-503800-001
WOS ID
WOS:000630189500001
Scopus ID
85102912729
PubMed ID
33722343
Erfassungsdatum
2021-05-19