Safe Blues: the case for virtual safe virus spread in the long-term fight against epidemics

Raj Dandekar, Shane G. Henderson, Hermanus M. Jansen, Joshua McDonald, Sarat Moka, Yoni Nazarathy*, Christopher Rackauckas, Peter G. Taylor, Aapeli Vuorinen

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

Abstract

Viral spread is a complicated function of biological properties, the environment, preventative measures such as sanitation and masks, and the rate at which individuals come within physical proximity. It is these last two elements that governments can control through social-distancing directives. However, infection measurements are almost always delayed, making real-time estimation nearly impossible. Safe Blues is one way of addressing the problem caused by this time lag via online measurements combined with machine learning methods that exploit the relationship between counts of multiple forms of the Safe Blues strands and the progress of the actual epidemic. The Safe Blues protocols and techniques have been developed together with an experimental minimal viable product, presented as an app on Android devices with a server backend. Following initial exploration via simulation experiments, we are now preparing for a university-wide experiment of Safe Blues.

Original languageEnglish
Article number100220
Pages (from-to)1-9
Number of pages9
JournalPatterns
Volume2
Issue number3
DOIs
Publication statusPublished - 12 Mar 2021
Externally publishedYes

Bibliographical note

Copyright the Author(s) 2021. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Fingerprint

Dive into the research topics of 'Safe Blues: the case for virtual safe virus spread in the long-term fight against epidemics'. Together they form a unique fingerprint.

Cite this