id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cord-320912-jfeu4tho	Fukui, M.	Power Laws in Superspreading Events: Evidence from Coronavirus Outbreaks and Implications for SIR Models	2020-06-12		.txt	text/plain	11778	615	55	We then extend an otherwise standard SIR model with estimated power law distributions, and show that idiosyncratic uncertainties in SSEs will lead to large aggregate uncertainties in infection dynamics, even with large populations. Under thin-tailed distributions, such as the estimated negative binomial distribution or power law distribution with α = 2, the epidemiological outcomes will be essentially predictable.	cache/cord-320912-jfeu4tho.txt	txt/cord-320912-jfeu4tho.txt
