id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-327259-7o7fs4yb	Correa, I. A.	Boosting SARS-CoV-2 qRT-PCR detection combining pool sample strategy and mathematical modeling	2020-08-19		.txt	text/plain	4584	265	56	We aim to evaluate pooling tests in experimental procedures, as well as perform in silico statistical modeling analysis validated with specimen samples obtained from a mass testing program of Industry Federation of the State of Rio de Janeiro (Brazil). This data was validated with the results obtained in our mass testing program: statistical modeling predicted a cost saving of 48.0%, which in practice, was 51.5%, already considering the expenditures with pool sampling that were analyzed individually. To assess the advantages of the pooling approach, we used previous qRT-PCR results obtained in the diagnostic analyses performed with industrial workers of Rio de Janeiro state as a base to calculate the prevalence rates (%) of positive cases and to build the statistical modeling methodology. Our study adopted the statistical modeling approach and validated the data with pooling biological samples for COVID-19 diagnostic, confirming that the pool size must be selected according to the prevalence rate of positive cases in the population (Figure 2) .	./cache/cord-327259-7o7fs4yb.txt	./txt/cord-327259-7o7fs4yb.txt