A multi-objective sequential stochastic assignment problem for Ebola entry screening

Yu, Ge

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https://hdl.handle.net/2142/90467 Copy

Description

Title

A multi-objective sequential stochastic assignment problem for Ebola entry screening

Author(s)

Yu, Ge

Issue Date

2016-01-29

Director of Research (if dissertation) or Advisor (if thesis)

Kiyavash, Negar

Department of Study

Electrical & Computer Eng

Discipline

Electrical & Computer Engr

Degree Granting Institution

University of Illinois at Urbana-Champaign

Degree Name

M.S.

Degree Level

Thesis

Keyword(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.

Graduation Semester

2016-05

Type of Resource

text

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http://hdl.handle.net/2142/90467

Copyright and License Information

Copyright 2016 Ge Yu

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