| Literature DB >> 33712693 |
Matthew Abueg1, Robert Hinch2, Neo Wu1, Luyang Liu1, William Probert2, Austin Wu1, Paul Eastham1, Yusef Shafi1, Matt Rosencrantz1, Michael Dikovsky1, Zhao Cheng1, Anel Nurtay2, Lucie Abeler-Dörner2, David Bonsall2, Michael V McConnell1,3, Shawn O'Banion4, Christophe Fraser5.
Abstract
Contact tracing is increasingly used to combat COVID-19, and digital implementations are now being deployed, many based on Apple and 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 to explore how digital exposure notifications combined with other non-pharmaceutical interventions influence COVID-19 disease spread under various adoption, compliance, and mobility scenarios. In a model with 15% participation, we found that exposure notification could reduce infections and deaths by approximately 8% and 6% and could effectively complement traditional contact tracing. We believe this can provide health authorities in Washington state and beyond with guidance on how exposure notification can complement traditional interventions to suppress the spread of COVID-19.Entities:
Year: 2021 PMID: 33712693 DOI: 10.1038/s41746-021-00422-7
Source DB: PubMed Journal: NPJ Digit Med ISSN: 2398-6352