id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-336747-8m7n5r85	Grossmann, G.	Importance of Interaction Structure and Stochasticity for Epidemic Spreading: A COVID-19 Case Study	2020-05-08		.txt	text/plain	7033	432	55	In this work, we translate an ODE-based COVID-19 spreading model from literature to a stochastic multi-agent system and use a contact network to mimic complex interaction structures. We calibrate both, ODE-models and stochastic models with interaction structure to the same basic reproduction number R 0 or to the same infection peak and compare the corresponding results. In the last decade, research focused largely on epidemic spreading, where interactions were constrained by contact networks, i.e. a graph representing the individuals (as nodes) and their connectivity (as edges). SIS-type models require knowledge of the spreading parameters (infection strength, recovery rate, etc.) and the contact network, which can partially be inferred from real-world observations. We are interested in the relationship between the contact network structure, R 0 , the height and time point of the infection-peak, and the number of individuals ultimately affected by the epidemic.	./cache/cord-336747-8m7n5r85.txt	./txt/cord-336747-8m7n5r85.txt