Optimal response against bioterror attack on airport terminal

Oded Berman; Arieh Gavious; Mozart B.C. Menezes

doi:10.1016/j.ejor.2011.12.036

Optimal response against bioterror attack on airport terminal

Oded Berman, Arieh Gavious, Mozart B.C. Menezes

Department of Industrial Engineering and Management

Research output: Contribution to journal › Article › peer-review

17 Scopus citations

Abstract

We consider a potential bioterror attack on an airport. After the attack is identified, the government is faced with the problem of how to allocate limited emergency resources (human resources, vaccines, etc.) efficiently. The government is assumed to make a one-time resource allocation decision. The optimal allocation problem is discussed and it is shown how available information on the number of infected passengers can be incorporated into the model. Estimation for parameters of the cost function (number of deaths after the epidemic is over) is provided based on known epidemic models. The models proposed in the paper are demonstrated with a case study using real airport data.

Original language	English
Pages (from-to)	415-424
Number of pages	10
Journal	European Journal of Operational Research
Volume	219
Issue number	2
DOIs	https://doi.org/10.1016/j.ejor.2011.12.036
State	Published - 1 Jun 2012

Keywords

Bioterror
OR in health services
OR in medicine
Penalty methods
Resource allocation

ASJC Scopus subject areas

General Computer Science
Modeling and Simulation
Management Science and Operations Research
Information Systems and Management

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.ejor.2011.12.036

Cite this

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title = "Optimal response against bioterror attack on airport terminal",

abstract = "We consider a potential bioterror attack on an airport. After the attack is identified, the government is faced with the problem of how to allocate limited emergency resources (human resources, vaccines, etc.) efficiently. The government is assumed to make a one-time resource allocation decision. The optimal allocation problem is discussed and it is shown how available information on the number of infected passengers can be incorporated into the model. Estimation for parameters of the cost function (number of deaths after the epidemic is over) is provided based on known epidemic models. The models proposed in the paper are demonstrated with a case study using real airport data.",

keywords = "Bioterror, OR in health services, OR in medicine, Penalty methods, Resource allocation",

author = "Oded Berman and Arieh Gavious and Menezes, {Mozart B.C.}",

note = "Funding Information: The first author{\textquoteright}s research was partially funded by Natural Sciences and Engineering Council of Canada. The third author{\textquoteright}s work was funded partially by Subprograma Ramon y Cajal, Direccion General de Investigacion y Gestion del Plan Nacional de I + D, reference RYC-2011–08762, Spain. We thank the reviewers and Associate Editor for their comments. We also thank Yanrong Cao for initial fruitful discussions. ",

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AU - Berman, Oded

AU - Gavious, Arieh

AU - Menezes, Mozart B.C.

N1 - Funding Information: The first author’s research was partially funded by Natural Sciences and Engineering Council of Canada. The third author’s work was funded partially by Subprograma Ramon y Cajal, Direccion General de Investigacion y Gestion del Plan Nacional de I + D, reference RYC-2011–08762, Spain. We thank the reviewers and Associate Editor for their comments. We also thank Yanrong Cao for initial fruitful discussions.

PY - 2012/6/1

Y1 - 2012/6/1

N2 - We consider a potential bioterror attack on an airport. After the attack is identified, the government is faced with the problem of how to allocate limited emergency resources (human resources, vaccines, etc.) efficiently. The government is assumed to make a one-time resource allocation decision. The optimal allocation problem is discussed and it is shown how available information on the number of infected passengers can be incorporated into the model. Estimation for parameters of the cost function (number of deaths after the epidemic is over) is provided based on known epidemic models. The models proposed in the paper are demonstrated with a case study using real airport data.

AB - We consider a potential bioterror attack on an airport. After the attack is identified, the government is faced with the problem of how to allocate limited emergency resources (human resources, vaccines, etc.) efficiently. The government is assumed to make a one-time resource allocation decision. The optimal allocation problem is discussed and it is shown how available information on the number of infected passengers can be incorporated into the model. Estimation for parameters of the cost function (number of deaths after the epidemic is over) is provided based on known epidemic models. The models proposed in the paper are demonstrated with a case study using real airport data.

KW - Bioterror

KW - OR in health services

KW - OR in medicine

KW - Penalty methods

KW - Resource allocation

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DO - 10.1016/j.ejor.2011.12.036

M3 - Article

AN - SCOPUS:84857052465

SN - 0377-2217

VL - 219

SP - 415

EP - 424

JO - European Journal of Operational Research

JF - European Journal of Operational Research

IS - 2

ER -

Optimal response against bioterror attack on airport terminal

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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