Whilst there has been much debate about privacy of Contact Tracing applications there has been little research on creating a general purpose fair measure of efficacy for the Proximity Detection Protocols that under pin those applications.
There is little point in creating a privacy preserving protocol that provides little or no epidemiological control of virus spread. Equally, there is little to be gained from creating a perfectly tracking solution that reveals citizens’ exact whereabouts at all times.
We have concentrated on creating a way to measure the technical efficacy of any protocol - be it Bluetooth based or othwerwise - on providing information that is of use for epidemiological control of disease spread.
In our soon to be published paper we describe a method for formally assessing the real world performance of any proximity detection protocol and its distance analogue (E.g. RSSI readings for Bluetooth based protocols) that links in with the Fraser Group’s at Oxford University’s previous work on stopping the spread of COVID-19 by using a mobile application.
We define the ‘Efficacy of Contact Tracing’ measure used in their paper, and create a fair and standardised assessment for the ‘probability of detection’ aspect of that measure.
This measure and it’s exact make up is summardised in the fair Efficacy Formula Paper page, and detailed precisely in our paper. We shall post a link here once the paper is published.
We then took this measure and applied it to a new protocol we designed from scratch to work around known Bluetooth communication issues across mobile phones. By using this formula to highlight shortcomings in certain tests we were able to rapidly within a month create a new low level Bluetooth protocol that has a very high efficacy score.
As part of preparation for publication we have also been looking at other existing code bases in the world and carrying out testing on those using the same test methodology. We have documented a range of ‘top sheet’ results in our results pages. Please open a GitHub issue if you would like us to include your own test results.