id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-286539-3sr4djft	Mentus, Cassidy	Analysis and Applications of Adaptive Group Testing Methods for COVID-19	2020-04-07		.txt	text/plain	5533	379	65	If a population has a low prevalence of COVID-19 then it is likely for groups of individuals to not have any positive cases. We are therefore able to design a strategy to use less tests to determine whether each individual is positive or negative for the disease by testing mixtures of samples from groups. For each level of prevalence we specify a xed number of individuals to test their combined samples, performing binary search if it is positive. https://doi.org/10.1101/2020.04.05.20050245 doi: medRxiv preprint 9 Performance of group testing methods at dierent prevalences For our performance analysis, we sample populations of sizes N = 100, 1000 at prevelance levels p = .001, .01, .02, .03, .04, .05, .1, .15, .2, and .25. https://doi.org/10.1101/2020.04.05.20050245 doi: medRxiv preprint Figure 11 .1: For GBS32 we sample a population of size 10,000 and record the number of times each case is tested.	./cache/cord-286539-3sr4djft.txt	./txt/cord-286539-3sr4djft.txt