Development of a cross-disciplinary and co-creative infectious disease control support system/service using big data and AI methods

Abstract

Novel coronavirus infections have caused tremendous human, social, and economic damage. Although it is necessary to restore social and economic activities while protecting human lives, cross-sectoral risk assessment has not been sufficiently conducted. In this study, we believe that if we can evaluate the effects of countermeasures through data-based simulations, we can convince people. We aim to develop (1) a modeling system to support administrative decision-making and (2) an incentive system for citizens using next-generation mobile terminal applications.