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Output details

11 - Computer Science and Informatics

University of Stirling

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Output 22 of 55 in the submission
Article title

Controlling epidemic spread by social distancing: Do it well or not at all

Type
D - Journal article
Title of journal
BMC Public Health
Article number
-
Volume number
12
Issue number
1
First page of article
679
ISSN of journal
1471-2458
Year of publication
2012
URL
-
Number of additional authors
1
Additional information

<28> This paper presents an original contribution to a novel field of adaptive networks and is the first paper to address this issue. It uses state-of-the-art software to model human behaviour. The work provides guidelines for public health authorities to incentivize populations to avoid transmission of diseases like influenza. The paper formed the basis for interdisciplinary experiments in 2012-2013 involving collaboration with psychologists (Strathclyde and University of Western Scotland). An inter-disciplinary collaboration with economists from Arizona State University, University of Wyoming, Michigan State University and York has been established as a direct result of the work described in this paper.

Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
3
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-