  In this work we propose a WiFi colocation methodology for digital contact
tracing. The approach works by having a device scan and store nearby access
point information to perform proximity inference. We make our approach
resilient to different practical scenarios by configuring a device to turn into
a hotspot if access points are unavailable, which makes the approach feasible
in both dense urban areas and sparse rural places. We compare various
shortcomings and advantages of this work over other conventional ways of doing
digital contact tracing. Preliminary results indicate the feasibility of our
approach for determining proximity between users, which is relevant for
improving existing digital contact tracing and exposure notification
implementations.
