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2021 | OriginalPaper | Chapter

12. Comparative Validation of Simulation Models for the COVID-19 Crisis

Authors : Fabian Lorig, Maarten Jensen, Christian Kammler, Paul Davidsson, Harko Verhagen

Published in: Social Simulation for a Crisis

Publisher: Springer International Publishing

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Abstract

Modelling and simulation approaches are applied in a variety of scientific disciplines for analysing, planning, and optimising complex systems or phenomena. Simulation is not limited to applications related to computer science or information systems research [2] and has also become an accepted method, for example, in social sciences and medicine. But also for solving practical problems, e.g., in manufacturing, logistics, or engineering, the use of simulation is increasingly common. Due to its popularity and versatility, simulation is even referred to as a third pillar of science between theory and experiment [1].

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previous chapter The Real Impact of Social Simulations During the COVID-19 Crisis
next chapter Engineering Social Simulations for Crises
Literature
1.
R. Axelrod, Advancing the art of simulation in the social sciences, in Simulating Social Phenomena (Springer, 1997), pp. 21–40
2.
S. Hudert, C. Niemann, T. Eymann, On computer simulation as a component in information systems research, in International Conference on Design Science Research in Information Systems (Springer, 2010), pp. 167–179
3.
A. Tolk, “Epistemology of modeling and simulation, in Winter Simulation Conference (WSC) (IEEE, 2013), pp. 1152–1166
4.
5.
R.G. Sargent, Verification and validation of simulation models. J. Simul. 7.1, 12–24 (2013)
6.
L. Ferretti et al., Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing. Science 368.6491 (2020)
7.
R. Axtell et al., Aligning simulation models: a case study and results. Comput. Math. Organ. Theory 1(2), 123–41 (1996)CrossRef
8.
N. Gilbert, K. Troitzsch, Simulation for the Social Scientist (McGraw-Hill Education (UK), 2005)
9.
O. Balci, Verification, validation, and testing. Handbook Simul. 10(8), 335–393 (1998)CrossRef
10.
W.L. Oberkampf, T.G. Trucano, Verification and validation benchmarks. Nucl. Eng. Des. 238.3, 716–743 (2008)
11.
W.S. Parker, II-Confirmation and adequacy-for-purpose in climate modelling, in Aristotelian Society Supplementary Vol. 83.1 (Wiley Online Library, 2009), pp. 233–249
12.
C. Beisbart, What is validation of computer simulations? Toward a clarification of the concept of validation and of related notions, in Computer Simulation Validation (Springer, 2019), pp. 35–67
13.
D.J. Murray-Smith, Verification and validation principles from a systems perspective, in Computer Simulation Validation (Springer, 2019), pp. 99–118
14.
A. Gelfert, Assessing the credibility of conceptual models, in Computer Simulation Validation (Springer, 2019), pp. 249–269
15.
S. Robinson, Conceptual modelling for simulation Part I: definition and requirements. J. Oper. Res. Soc. 59(3), 278–290 (2008)CrossRef
16.
J. Banks et al., Discrete Event System Simulation (Pearson, 2014)
17.
P. Kasaie, W. David, Kelton. “Guidelines for design and analysis in agent-based simulation studies, in Winter Simulation Conference (IEEE, 2015)
18.
P. Ormerod, B. Rosewell, Validation and verification of agent based models in the social sciences, in International Workshop on Epistemological Aspects of Computer Simulation in the Social Sciences (Springer, 2006), pp. 130–140
19.
20.
B.B.N. de França, G.H. Travassos, Simulation based studies in software engineering: a matter of validity. CLEI Electron J 18.1, 5–5 (2015)
21.
E. Bonabeau, Agent-based modeling: methods and techniques for simulating human systems. Proc. Nat. Acad. Sci. 99(suppl 3), 7280–7287 (2002)CrossRef
22.
H. Rahmandad, J. Sterman, Heterogeneity and network structure in the dynamics of diffusion: comparing agent-based and differential equation models. Manag. Sci. 54(5), 998–1014 (2008)
23.
W.O. Kermack, A.G. McKendrick, A contribution to the mathematical theory of epidemics, in Proceedings of the Royal Society of London. Series A, Containing papers of a mathematical and physical character, vol. 115.772 (1927), pp. 700–721
24.
25.
J. Mossong et al., Social contacts and mixing patterns relevant to the spread of infectious diseases, in PLoS Medicine, vol. 5.3 (2008), p. e74
26.
T. Galbadage, B.M. Peterson, R.S. Gunasekera, Does COVID-19 spread through droplets alone?, in Frontiers in Public Health, vol. 8 (2020), p. 163
Metadata
Title
Comparative Validation of Simulation Models for the COVID-19 Crisis
Authors
Fabian Lorig
Maarten Jensen
Christian Kammler
Paul Davidsson
Harko Verhagen
Copyright Year
2021
Book
Social Simulation for a Crisis

Print ISBN: 978-3-030-76396-1

Electronic ISBN: 978-3-030-76397-8

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-76397-8_12

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