id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-119183-pbliko1k	Cohen, Tomer	A combination of 'pooling' with a prediction model can reduce by 73% the number of COVID-19 (Corona-virus) tests	2020-05-03		.txt	text/plain	2706	163	72	In appendices A -C, we survey three different ways to use this data -the first-of-which is a known method due to Dorfman [3] -which we'll call here 'single pooling' (Appendix A): according to this method, if the pool turns out to be positive, all samples in that pool need to be re-tested individually, as shown in the following diagram: The expected number of tests can be calculated, based on the probability of the samples in the pool to be positive, and the size of the pool (see Appendix A for details). Appendix D includes a table comparing the required number of tests per patient with the various methods, as a function of , and also a comparison to a recently introduced method called double-pooling [4] . As before, is the probability for a positive test, is the size of the population, and , in this case, is the number of columns/rows in the matrix.	./cache/cord-119183-pbliko1k.txt	./txt/cord-119183-pbliko1k.txt