id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-342181-x14iywtr	Taipale, J.	Population-scale testing can suppress the spread of COVID-19	2020-05-01		.txt	text/plain	7522	359	50	Our model also indicates that unlike sampling-based tests, population-scale testing does not need to be very accurate: false negative rates up to 15% could be tolerated if 80% comply with testing every ten days, and false positives can be almost arbitrarily high when a high fraction of the population is already effectively quarantined. Using the standard (continuous, deterministic) SIR model, the equations in Fig. 2A and Methods show that the optimal population-scale testing strategy will succeed if at least two thirds of all new COVID-19 cases are immediately identified and quarantined. Although a population-scale test does not need to be as accurate as a clinical-grade qRT-PCR test (see above), apart from a potential increase in errors due to sample collection, there is no theoretical reason why a self-test based on isothermal amplification would not achieve the false negative and positive rates that are equivalent to the current state-of-the-art methodology.	./cache/cord-342181-x14iywtr.txt	./txt/cord-342181-x14iywtr.txt