id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-214774-yro1iw80	Srivastava, Anuj	Agent-Level Pandemic Simulation (ALPS) for Analyzing Effects of Lockdown Measures	2020-04-25		.txt	text/plain	4987	321	60	This paper develops an agent-level simulation model, termed ALPS, for simulating the spread of an infectious disease in a confined community. From an epidemiological perspective, as large amount of infection, containment, and recovery data from the this pandemic becomes available over time, the community is currently relying essentially on simulation models to help assess situations and to evaluate options [1] . In this paper we develop a mathematical simulation model, termed ALPS, to replicate the spread of an infectious disease, such as COVID-19, in a confined community and to study the influence of some governmental interventions on final outcomes. [10] construct a detailed agent-based model for spread of infectious diseases, taking into account population demographics and other social conditions, but they do not consider countermeasures such as lockdowns in their simulations. In this section we develop our simulation model for agent-level interactions and spread of the infections across a population in a well-defined geographical domain.	./cache/cord-214774-yro1iw80.txt	./txt/cord-214774-yro1iw80.txt