id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-198272-s0lk1812	Bairagi, Anupam Kumar	Controlling the Outbreak of COVID-19: A Noncooperative Game Perspective	2020-07-27		.txt	text/plain	5574	375	58	Furthermore, the sustainability of the lockdown policy is interpreted with the help of our proposed game-theoretic incentive model for maintaining social distancing where there exists a Nash equilibrium. Finally, we perform an extensive numerical analysis that shows the effectiveness of the proposed approach in terms of achieving the desired social-distancing to prevent the outbreak of the COVID-19 in a noncooperative environment. Therefore, different from the existing literature, we focus on the design of a model that can measure individual's isolation and social distance to prevent the epidemic of COVID-19. The model considers both isolation and social distancing features of individuals to control the outbreak of COVID-19. Our objective is to keep δ minimum for reducing the spread of COVID-19 from infected individuals, which is an isolation strategy. In this paper, we have introduced a mathematical model for controlling the outbreak of COVID-19 by augmenting isolation and social distancing features of individuals.	./cache/cord-198272-s0lk1812.txt	./txt/cord-198272-s0lk1812.txt