id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-150218-javbnjrg	Gupta, Prateek	COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing	2020-10-30		.txt	text/plain	13386	673	54	We use COVI-AgentSim to perform cost-benefit analyses comparing no DCT to: 1) standard binary contact tracing (BCT) that assigns binary recommendations based on binary test results; and 2) a rule-based method for feature-based contact tracing (FCT) that assigns a graded level of recommendation based on diverse individual features. We call these methods feature-based contact tracing (FCT), and hypothesize they could provide an important and effective means of reducing the spread of the disease, perhaps even more effectively than BCT at lower adoption rates. Recognizing this potential, we propose COVI-AgentSim -a software testbed 2 to design, evaluate and benchmark DCT methods using cost-benefit analysis in terms of lives saved, reduction in effective reproductive number (R t ) of the virus, disability-adjusted life years (DALYs) averted, and productive hours lost. A key difference in our simulator is the rich set of individual-level features (including e.g. pre-existing medical conditions), which allow us to benchmark feature-based contact tracing methods, and also allow for stratification over a larger variety of subgroups.	./cache/cord-150218-javbnjrg.txt	./txt/cord-150218-javbnjrg.txt