id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-263978-jk82bk1a	Karaivanov, Alexander	A social network model of COVID-19	2020-10-29		.txt	text/plain	11398	576	57	The proposed network-augmented (NSIR) model allows the evaluation, via simulations, of (i) health and economic policies and outcomes for all or subset of the population: lockdown/distancing, herd immunity, testing, contact tracing; (ii) behavioral responses and/or imposing or lifting policies at specific times or conditional on observed states. I construct and compute a dynamic social network-based model of the COVID-19 epidemic and use it to evaluate a range of simulated health and economic policies-herd immunity, distancing, lockdown, testing, quarantine, and contact tracing. While helpful for simplifying the dynamics and computing outcomes, this population-level random matching assumption abstracts from important elements of realism and locality: (i) people are more likely to interact with members of their social network, broadly defined (e.g., family, work, or distance based); (ii) health and economic policies targeting disease mitigation, as well as individual behavioral responses, can affect the rate of viral transmission via a person's network of contacts vs.	./cache/cord-263978-jk82bk1a.txt	./txt/cord-263978-jk82bk1a.txt