Modeling the effect of exposure notification and non-pharmaceutical interventions on COVID-19 transmission in Washington state

Abstract Contact tracing is increasingly used to combat COVID-19, and digital implementations are now being deployed, many based on Apple Google’s Exposure Notification System. These systems utilize non-traditional smartphone-based technology, presenting challenges in understanding possible outcomes. In this work, we create individual-based models of three Washington state counties explore how exposure notifications combined with other non-pharmaceutical interventions influence COVID-19 disease spread under various adoption, compliance, mobility scenarios. a model 15% participation, found that notification could reduce infections deaths by approximately 8% 6% effectively complement traditional contact tracing. We believe can provide health authorities beyond guidance suppress the COVID-19.