id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-352543-8il0dh58	Kuzdeuov, A.	A Network-Based Stochastic Epidemic Simulator: Controlling COVID-19 with Region-Specific Policies	2020-05-06		.txt	text/plain	6262	311	47	In this scenario, epidemiological models can be used to project the future course of the disease, and to estimate the impact of non-pharmaceutical interventions (NPIs) and related control measures that might be used to slow the contagion, and thereby provide time to enhance health care resources and develop effective immunological defenses such as new vaccines. We have developed and implemented a network-based stochastic epidemic simulator (leveraging our prior work [8] ) which models cities and regions as nodes in a graph, and the edges between nodes representing transit links of roads, railways, and air travel routes to model the mobility of inhabitants amongst cities. In each node, the simulator runs a compartmental Susceptible-Exposed-Infectious-Recovered (SEIR) model, such that individuals can cycle through the four stages based on state transition probabilities.	./cache/cord-352543-8il0dh58.txt	./txt/cord-352543-8il0dh58.txt