id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-258865-sxz39swi	Rabbani, H.	Modelling COVID-19 using the Fundamentals of Fluid Dynamics	2020-06-25		.txt	text/plain	2246	157	55	In December 2019, a cluster of cases of pneumonia, subsequently associated with a novel coronavirus (Severe Acute Respiratory Syndrome -Coronavirus-2, SARS-CoV-2), named Coronavirus Disease 2019 (COVID-19) by the World Health Organization (WHO), emerged in Wuhan, China. These measures include physical/social distancing to minimize the rate of person-to-person contact, frequent hand washing, the utilization of masks, gloves and other forms of personal protection equipment (PPE), mass testing, contact tracing and isolation/quarantine of persons with suspected and confirmed cases of COVID-19 infection. In pandemic situations where data could be sparse, mathematical modelling can be a powerful tool to understand and predict the course of the outbreak in order to inform the development of potential control strategies 11, 12 . The most frequently used framework in the case of human transmissions is the so-called SIR model 13 is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. Using the fluid transport equation, we derived the following mathematical model to predict the infected cases of COVID-19.	./cache/cord-258865-sxz39swi.txt	./txt/cord-258865-sxz39swi.txt