id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-346921-3hfxv6h8	Nave, OPhir	Θ-SEIHRD mathematical model of Covid19-stability analysis using fast-slow decomposition	2020-09-21		.txt	text/plain	3197	179	58	In this study, we apply the singular perturbed vector field (SPVF) method to the COVID-19 mathematical model of to expose the hierarchy of the model. This decomposition enables us to rewrite the model in new coordinates in the form of fast and slow subsystems and, hence, to investigate only the fast subsystem with different asymptotic methods. We found the stable equilibrium points of the mathematical model and compared the results of the model with those reported by the Chinese authorities and found a fit of approximately 96 percent. After we transformed and presented the model in the new coordinates using the eigenvectors of the SPVF method, the model can be decomposed into the fast and slow subsystems based on the gap of the eigenvalues. As we have shown in the previous section, we obtain the stable equilibrium points of the mathematical model owing to the application of the SPVF method.	./cache/cord-346921-3hfxv6h8.txt	./txt/cord-346921-3hfxv6h8.txt