id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-342180-ylcv4zvl	Buonomo, B.	Modelling information-dependent social behaviors in response to lockdowns: the case of COVID-19 epidemic in Italy	2020-05-25		.txt	text/plain	8656	496	54	We consider a SEIR-like epidemic model where that contact and quarantine rates are assumed to depend on the available information and rumors about the disease status in the community. Among the main concerns raised were: predicting the evolution of the COVID19 pandemic wave worldwide or in specic countries [12, 25, 42] ; predicting epidemic peaks and ICU accesses [46] ; assessing the eects of containment measures [12, 14, 24, 25, 35, 42, 45] and, more generally, assessing the impact on populations in terms of economics, societal needs, employment, health care, deaths toll, etc [20, 36] . To this aim we build up an informationdependent SEIRlike model which is based on the key assumption that the choice to respect the lockdown restrictions, specically the social distance and the quarantine, is partially determined on fully voluntary basis and depends on the available information and rumors concerning the spread of the COVID19 disease in the community.	./cache/cord-342180-ylcv4zvl.txt	./txt/cord-342180-ylcv4zvl.txt