another strategy suggested in the cmaj paper is to use wifi fingerprinting, where the received signal from each network creates a “fingerprint” of the location.
contact tracing apps come with flaws however. the largest of which is simply that the effectiveness is dependent on the level of adoption. the less people using it, the less cases will be identified. for reference, alberta’s app was downloaded by 100,000 people within a week of release.
“bluetooth signal strength is hardware dependent, exhibits substantial fluctuations and is attenuated when people are between the transmitting and receiving devices,” the study reads.
bluetooth-enabled apps can only scan for other similarly enabled devices when the app is in the foreground,
as a result of these errors, contact tracing apps may have less than perfect accuracy in determining infected cases, which can lead to false positives or some cases being left unnoticed. given that target devices are generally unknown prior to pairing, this makes it difficult for devices to “find” one another. think of if you have ever paired your phone to a bluetooth speaker to play music. the first time you do it, your phone is unknown to the speaker.
the current recommendation for the alberta app is to leave it on in the foreground, which in turn drains battery quicker.
today, the federal government announced a bluetooth-based contact tracing app to be rolled out for testing next month in ontario. called covid alert, it was developed using open source code from the ontario digital service in partnership with a team from shopify.
according to the
cbc, the app “uses randomly generated, anonymous codes and bluetooth signals between phones that also have the app downloaded to keep track of the proximity and duration of a certain contact.”