id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-324924-5f7b02yq	Agarwal, A.	A TRANSPARENT, OPEN-SOURCE SIRD MODEL FOR COVID19DEATH PROJECTIONS IN INDIA	2020-06-04		.txt	text/plain	4425	267	64	. https://doi.org/10.1101/2020.06.02.20119917 doi: medRxiv preprint Transparency: Since our model is based parameters well-documented in epidemiological theory, we can do a sanity check on the inferred values to see if they agree with what is known at this point of time. To estimate R we leverage open-source, real-time social distancing data published by Google [5] , which allows us to model various mitigation measures by just two parameters as described below. . https://doi.org/10.1101/2020.06.02.20119917 doi: medRxiv preprint Table 1 : Raw and smooth social distancing data for three different regions from 15 Feb baseline day is the median value from the 5-week period Jan 3 -Feb 6, 2020. Across a row, we vary the number data points we fit the model on, and obtain projections for the remaining times and compare them to the actual death counts.	./cache/cord-324924-5f7b02yq.txt	./txt/cord-324924-5f7b02yq.txt