id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-343340-zi0rfidc	Aragón‐Caqueo, Diego	Optimization of group size in pool testing strategy for SARS‐CoV‐2: A simple mathematical model	2020-05-03		.txt	text/plain	3319	155	51	The aim of this study is to propose a simple mathematical model to estimate the optimum number of pooled samples according to the relative prevalence of positive tests in a particular healthcare context, assuming that if a group tests negative, no further testing is done whereas if a group tests positive, all the subjects of the group are retested individually. Therefore, the aim of this study is to provide a mathematical model to estimate the optimum number of pooled samples according to the specific prevalences of positive tests in a particular country context, in order to save as many tests as possible and cover as many people as possible, knowing that if a group tests out positive, all the individuals of the sample would have to be individually tested. This article proposed a simple and landed model to estimate the most optimum group number to implement pool testing strategy for SARS-CoV-2, according to the specific historical positive tests prevalence for a determined healthcare context.	./cache/cord-343340-zi0rfidc.txt	./txt/cord-343340-zi0rfidc.txt