Measures to prevent and control the spread of novel coronavirus disease (COVID-19) infection in tourism locations

Abstract

This study reproduces the infection process of 2019 novel coronavirus diseases (COVID-19) in an agent-based model and compares the effects of multiple infection prevention and control measures for a tourism location. In this model, 3200 virtual resident agents live in nine areas where they commute to employment locations or schools and visit stores. This model simulates a spreading infection process, brought by a continuous influx of tourists. The experiments' results showed that an individual infection prevention measure alone or partially combined measures are insufficient. On the other hand, we confirmed that regular PCR testing for tourism business employees and an active epidemiological investigation are effective.