STUDIES IN SIMULATION AND GAMING
Online ISSN : 2434-0472
Print ISSN : 1345-1499
Peer-Reviewed Paper
Optimal Rate of Mobility Restriction of Control the Number of Infected People and Economic Damage in a Pandemic
Keita Kurisu Eizo Akiyama
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JOURNAL FREE ACCESS

2023 Volume 33 Issue 1 Pages 11-22

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Abstract

Since the outbreak of COVID-19, the mobility restriction policy has often been implemented in many countries, including China and Europe countries, as one of the non-pharmacological interventions to prevent the spread of the disease. one of the problems in determining the mobility restriction policy is the trade-off between “suppressing economic damage” and “inhibition of infection”. Bodenstein et al. (2020) examine the impact of social distancing policies on the number of infections and the economy by combining a mathematical model of infectious diseases (SIR model) and a macroeconomic model to predict the economic impact by the outbreak of infected persons and the mobility restrictions. In this study, we extend the model of Bodenstein et al. (2020) (a one-region model) to a two-region model and analyze the effects of policies that restrict mobility between the two regions in order to inspect the impact of differences in migration rates between the two regions on the number of infected people and economic damage. Specifically, we analyzed the impact of policies restricting movement between the two regions on the economy and the infection situation by simulation and find a movement restriction rate that considers both the reduction in the economic damage and the number of infected people.

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© 2023 Japan Association of Simulation & Gaming
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