Effects of Infection Parameters on Estimating the Number of Production Backup Workers

Abstract

This study aims to estimate the number of backup workers required to continue production when the infection parameters change to various situations. Enough workers are necessary to run the production site. However, it is difficult to estimate the number of backup workers because of the complexity of the production site and the sudden absence of workers by infectious. In this paper, we used an Agent-based modeling production site infection simulator to compare changes in the number of backup workers under the following conditions: two virus types, three mask-wearing situations, and two backup target ranges. The results show the infection parameters including the duration of each symptom period are important to estimate the number of backup workers, the backup workers with masks need to be available for 10-25% of the production site, and the backup target range should be determined in combination with measures to reduce the probability of infection.