Interaction and Infection : Simulating the spread of a viral disease under non-pharmaceutical interventions from a social science perspective




Faculty/Professorship: Political Theory  
Author(s): Klein, Dominik ; Marx, Johannes  ; Mayerhoffer, Daniel  ; Sirsch, Jürgen 
Alternative Title: Interaktion und Infektion : Eine Simulation der dynamischen Entwicklung einer Viruserkrankung unter nicht-pharmazeutischer Intervention aus sozialwissenschaftlicher Perspektive
Publisher Information: Bamberg : Otto-Friedrich-Universität
Year of publication: 2020
Pages: 19
Series ; Volume: Bamberger Beiträge zur Modernen Politischen Theorie = Bamberg Contributions to Contemporary Political Theory ; 1 
Language(s): English
DOI: 10.20378/irb-47777
Licence: Creative Commons - CC BY - Attribution 4.0 International 
URL: https://www.uni-bamberg.de/en/poltheorie/resear...
URN: urn:nbn:de:bvb:473-irb-477779
Abstract: 
The spreading of viruses in a population depends not only on biological factors and the availability of effective pharmaceutical products, but also on human behaviour. Since in the case of Covid-19, there are currently no pharmaceutical measures available, the discussion focuses on non-pharmaceutical measures such as social distancing and quarantines. However, whether and to what extent these measures achieve the desired effects, does not only depend on medical parameters but also on human behaviour: A sufficient number of individuals need to change their social behaviour to successfully contain the spreading of Covid-19. We offer an interactive computer simulation that allows us to compare different policy measures and social rules such as social distancing and quarantine in terms of their potential for virus containment. In the following text, we describe the basic structure as well as some implications of a simulation designed to model the effectiveness of different measures to contain the spreading of viruses like Covid-19.
GND Keywords: Pandemie; Infektionsrisiko; Soziale Distanz; Intervention; Computersimulation
Keywords: CoViD-19, Agent-based modeling, Policy evaluation, Non-pharmaceutical intervention
DDC Classification: 300 Social sciences, sociology & anthropology  
RVK Classification: MS 6020   
Type: Workingpaper
URI: https://fis.uni-bamberg.de/handle/uniba/47777
Release Date: 9. June 2020

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