Analysing the Combined Health, Social and Economic Impacts of the Corovanvirus Pandemic Using Agent-Based Social Simulation

被引:30
|
作者
Dignum, Frank [1 ]
Dignum, Virginia [1 ]
Davidsson, Paul [2 ]
Ghorbani, Amineh [3 ]
van der Hurk, Mijke [4 ]
Jensen, Maarten [1 ]
Kammler, Christian [1 ]
Lorig, Fabian [2 ]
Ludescher, Luis Gustavo [1 ]
Melchior, Alexander [4 ]
Mellema, Rene [1 ]
Pastrav, Cezara [1 ]
Vanhee, Lois [5 ]
Verhagen, Harko [6 ]
机构
[1] Umea Univ, Umea, Sweden
[2] Malmo Univ, Malmo, Sweden
[3] Delft Univ Technol, Delft, Netherlands
[4] Univ Utrecht, Utrecht, Netherlands
[5] Univ Caen, Caen, France
[6] Stockholm Univ, Stockholm, Sweden
关键词
CRISIS;
D O I
10.1007/s11023-020-09527-6
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
During the COVID-19 crisis there have been many difficult decisions governments and other decision makers had to make. E.g. do we go for a total lock down or keep schools open? How many people and which people should be tested? Although there are many good models from e.g. epidemiologists on the spread of the virus under certain conditions, these models do not directly translate into the interventions that can be taken by government. Neither can these models contribute to understand the economic and/or social consequences of the interventions. However, effective and sustainable solutions need to take into account this combination of factors. In this paper, we propose an agent-based social simulation tool, ASSOCC, that supports decision makers understand possible consequences of policy interventions, but exploring the combined social, health and economic consequences of these interventions.
引用
收藏
页码:177 / 194
页数:18
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