Published September 2020 | Version v1
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Beyond COVID-19. Network science and sustainable exit strategies

  • 1. The Alan Turing Institute, London (United Kingdom)
  • 2. Queen Mary University of London (United Kingdom). School of Mathematical Sciences

Description

On May 28th and 29th, 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.pdf

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Additional details

Identifiers

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