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Title:A multi-objective sequential stochastic assignment problem for Ebola entry screening
Author(s):Yu, Ge
Advisor(s):Kiyavash, Negar
Department / Program:Electrical & Computer Eng
Discipline:Electrical & Computer Engr
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):sequential stochastic assignment
multi-objective optimization
Ebola entry screening
Abstract:The 2014 Ebola outbreak in West Africa prompted a need to assess how deplaning passengers from West Africa should be managed. A 21-day quarantine requirement for deplaning passengers, based on their risk factors, was implemented at five international airports in the United States in late 2014. This thesis formulates the multi-objective sequential stochastic assignment problem (MOSSAP) to improve the process for managing such quarantine assignments. In MOSSAP, each passenger is assessed with a two-dimensional risk vector, revealed upon entering the United States, which is used to make the quarantine assignment. The objective is to maximize the expected number of passengers assigned to the correct level of monitoring (quarantine, self-monitoring), subject to quarantine capacity constraint. The weighted sum method is used to generate Pareto optimal policies for MOSSAP. Statistics available from Ebola entry screening and related public health sources are used to illustrate how such a policy would operate in practice.
Issue Date:2016-01-29
Rights Information:Copyright 2016 Ge Yu
Date Available in IDEALS:2016-07-07
Date Deposited:2016-05

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