id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-258018-29vtxz89	Cooper, Ian	A SIR model assumption for the spread of COVID-19 in different communities	2020-06-28		.txt	text/plain	5815	268	57	The data in [29] for China, South Korea, India, Australia, USA, Italy and the state of Texas (communities) are organised in the form of time-series where the rows are recordings in time (from January to June, 2020), and the three columns are, the total cases I d tot (first column), number of infected individuals I d (second column) and deaths D d (third column). Assuming the published data are reliable, the SIR model (1) can be applied to assess the spread of the COVID-19 disease and predict the number of infected, removed and recovered populations and deaths in the communities, accommodating at the same time possible surges in the number of susceptible individuals. In this work, we have augmented the classic SIR model with the ability to accommodate surges in the number of susceptible individuals, supplemented by recorded data from China, South Korea, India, Australia, USA and the state of Texas to provide insights into the spread of COVID-19 in communities.	./cache/cord-258018-29vtxz89.txt	./txt/cord-258018-29vtxz89.txt