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Myoko Model for Balancing Infectious Disease Control and Local Economy

Authors:
Hideyuki Nagai
Setsuya Kurahashi

Keywords: COVID-19; agent-based simulation; epidemic model; tourism; policy science

Abstract:
Under the situation where the resolution of 2019 novel coronavirus diseases (COVID-19) cannot be foreseen, tourism locations have continued to be exposed to the risk that receive intermittent influxes of people from other regions. Therefore, it is an urgent issue to establish countermeasures for accepting tourists. Based on this background, this study designed an agent-based model that can simulates a spreading infection process, brought by a continuous influx of tourists, among regional residents. And this study compared the COVID-19 control measures in tourism locations by simulation experiments. As a result, it was found that certain effects can be expected from active epidemiological investigation. And greater effects can also be expected from the regular testing of tourism business employees, but large-scale testing is currently a major barrier. While the introduction of contact tracing apps is effective as a countermeasure therefore, there is a need for further improvement.

Pages: 1 to 7

Copyright: Copyright (c) IARIA, 2021

Publication date: July 18, 2021

Published in: conference

ISSN: 2308-4375

ISBN: 978-1-61208-874-7

Location: Nice, France

Dates: from July 18, 2021 to July 22, 2021