COVID-19 mitigation by digital contact tracing and contact prevention (app-based social exposure warnings).

ABSTRACT: A plethora of measures are being combined in the attempt to reduce SARS-CoV-2 spread. Due to its sustainability, contact tracing is one of the most frequently applied interventions worldwide, albeit with mixed results. We evaluate the performance of digital contact tracing for different infection detection rates and response time delays. We also introduce and analyze a novel strategy we call contact prevention, which emits high exposure warnings to smartphone users according to Bluetooth-based contact counting. We model the effect of both strategies on transmission dynamics in SERIA, an agent-based simulation platform that implements population-dependent statistical distributions. Results show that contact prevention remains effective in scenarios with high diagnostic/response time delays

SUBMITTER: Soldano GJ 

PROVIDER: S-EPMC8277769 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature