id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-349978-zklwovba	Jombart, Thibaut	Inferring the number of COVID-19 cases from recently reported deaths	2020-04-27		.txt	text/plain	2474	149	56	We developed a model to use CFR alongside other epidemiological factors underpinning disease transmission to infer the likely number of cases in a population from newly reported deaths. This model combines data on the reproduction number (R) and serial interval distribution to simulate new cases 'y t ' on day 't' from a Poisson distribution: Our approach is implemented in the R software 13 and publicly available as R scripts (see Extended data) 14 , as well as in a user-friendly, interactive web-interface available at: https://cmmid.github.io/visualisations/ inferring-covid19-cases-from-deaths 2 . We first used our model to assess likely epidemic sizes when an initial COVID-19 death is reported in a new location. Extended data for: Inferring the number of COVID-19 cases from recently reported deaths This article describes a statistical modeling method for estimating the number of COVID-19 cases from the first reported deaths in a defined location.	./cache/cord-349978-zklwovba.txt	./txt/cord-349978-zklwovba.txt