id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-251676-m8f6de33	Trivedi, Amee	WiFiTrace: Network-based Contact Tracing for Infectious Diseases Using Passive WiFi Sensing	2020-05-25		.txt	text/plain	9641	500	59	The tool analyses WiFi logs generated by the network, and specifically association and dissociation log messages for this device, at various access points on campus to reconstruct the location(building, room numbers) visited by the user. We note that such a client-centric approach requires a user to first download a mobile app before contact tracing data can be gathered-users who have not downloaded the app (or have opted in) are not visible to other phones that are actively listening for other devices in their proximity. As discussed below, this tier uses time-evolving graphs and efficient graph algorithms to efficiently intersect trajectories of a large number of devices (typically tens of thousands of users that may be present on a university campus) to produce its report. In this section, we describe case studies that evaluate the efficacy of our contact tracing tool and also present results on the efficiency of our graph algorithms and general limitations of our WiFi sensing approach.	./cache/cord-251676-m8f6de33.txt	./txt/cord-251676-m8f6de33.txt