Published September 2020
| Version v1
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Beyond COVID-19. Network science and sustainable exit strategies
Creators
- 1. The Alan Turing Institute, London (United Kingdom)
- 2. Queen Mary University of London (United Kingdom). School of Mathematical Sciences
Description
On May 28 and 29, a two day workshop was held virtually, facilitated by the Beyond Center at ASU and Moogsoft Inc. The aim was to bring together leading scientists with an interest in Network Science and Epidemiology to attempt to inform public policy in response to the COVID-19 pandemic. Epidemics are at their core a process that progresses dynamically upon a network, and are a key area of study in Network Science. In the course of the workshop a wide survey of the state of the subject was conducted. We summarize in this paper a series of perspectives of the subject, and where the authors believe fruitful areas for future research are to be found.
Availability note (English)
Also available from: https://arxiv.org/pdf/2009.12968.pdfFiles
52078520.pdf
Files
(7.9 MB)
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Additional details
Identifiers
- arXiv
- arXiv:2009.12968;
Publishing Information
- Imprint Pagination
- 44 p.
- ISSN
- 0418-9833
- Report number
- DESY--20-142
INIS
- Country of Publication
- Germany
- Country of Input or Organization
- Germany
- INIS RN
- 52078520
- Subject category
- S60: APPLIED LIFE SCIENCES;
- Descriptors DEI
- CORONAVIRUSES; EPIDEMIOLOGY; PUBLIC POLICY
- Descriptors DEC
- DISEASES; INFECTIOUS DISEASES; MICROORGANISMS; PARASITES; VIRAL DISEASES; VIRUSES; ZOONOTIC DISEASES