Simulations of COVID-19 spread by spatial agent-based model and ordinary differential equations Online publication date: Fri, 15-May-2020
by Shan Bai
International Journal of Simulation and Process Modelling (IJSPM), Vol. 15, No. 3, 2020
Abstract: The COVID-19 outbreak is currently the biggest public health issue in the world. In this paper, the epidemic spread is modelled via two structurally different approaches, a system of first-order ordinary differential equations (ODEs) and spatial agent-based model (ABM). Specific intervention strategies are introduced and the effectiveness of the strategies can be assessed by comparing the results with/without these strategies. The simulation results are qualitatively affected by different parameter settings of the ODEs-based model; hence precision of input parameters characterising the spread is of great importance. The implementation of spatial ABM brings novel features to the epidemics modelling: new states being easily incorporated; the parameter illustrating the moving willingness of people; and sub-models for hospital beds to reflect demands of medical resources. Our results suggest that the flexible characteristics of ABM render it a useful addition to the tool set of epidemics simulation models so as to figure out new effective strategies.
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