id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-144448-mqs502xm	Theagarajan, Lakshmi N.	Group Testing for COVID-19: How to Stop Worrying and Test More	2020-04-14		.txt	text/plain	7392	473	71	We present multiple group testing algorithms that could reduce the number of tests performed for COVID-19 diagnosis. • Combinatorial group testing (CGT): The combinatorial algorithms require the exact number (or an upper bound) of the infected samples D. • Probabilistic group testing (PGT): The probabilistic algorithms require an upper bound on α and identify all infected samples with certain probability P D . In general, if T is the number of tests for COVID that are to be performed on a swab with viral load V l with r replicates to achieve a sensitivity of 1 − γ * , then the maximum pool size can be derived as The GBS algorithm simply attempts to perform the BSP D times to identify at most D infected samples in a given pool of size N .	./cache/cord-144448-mqs502xm.txt	./txt/cord-144448-mqs502xm.txt