id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-307322-h7vqmlq9	Gongalsky, Maxim B	Early detection of superspreaders by mass group pool testing can mitigate COVID-19 pandemic	2020-04-27		.txt	text/plain	3614	262	58	Background Most of epidemiological models applied for COVID-19 do not consider heterogeneity in infectiousness and impact of superspreaders, despite the broad viral loading distributions amongst COVID-19 positive people (1-1 000 000 per mL). Methods I used stochastic social-epidemiological SEIAR model, where S-suspected, E-exposed, I-infectious, A-admitted (confirmed COVID-19 positive, who are admitted to hospital or completely isolated), R-recovered. Thus, the aim of the present article is to describe possible group pool testing strategy, which can detect superspreaders on early stages within reasonable amount of RT-PCR tests, and demonstrate the efficiency of the strategy by means of SEIR derivative model Monte Carlo simulations applied for London, Moscow and New York City as examples. Simulated COVID-19 pandemic curves for London, Moscow and New York City without mass testing (blue), and with mass testing with different superspreaders threshold, St, 100 (green), 300 (yellow) and 1000 (orange).	./cache/cord-307322-h7vqmlq9.txt	./txt/cord-307322-h7vqmlq9.txt