Modeling the spread of bed bug infestation and optimal resource allocation for disinfestation

A patch-structured multigroup-like $SIS$ epidemiological model is proposed to study the spread of the common bed bug infestation.It is shown that the model exhibits global threshold dynamics with the basic reproduction number as the threshold parameter.Costs associated with the disinfestation pro...

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Main Authors: Ali Gharouni, Lin Wang
Format: Article
Language:English
Published: AIMS Press 2016-06-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2016025
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author Ali Gharouni
Lin Wang
author_facet Ali Gharouni
Lin Wang
author_sort Ali Gharouni
collection DOAJ
description A patch-structured multigroup-like $SIS$ epidemiological model is proposed to study the spread of the common bed bug infestation.It is shown that the model exhibits global threshold dynamics with the basic reproduction number as the threshold parameter.Costs associated with the disinfestation process are incorporated into setting up the optimization problems.Procedures are proposed and simulated for finding optimal resource allocation strategies to achieve the infestation free state.Our analysis and simulations provide useful insights on how to efficiently distribute the available exterminators among the infested patches for optimal disinfestation management.
format Article
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institution Kabale University
issn 1551-0018
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series Mathematical Biosciences and Engineering
spelling doaj-art-9b190808c76e4ff3b4064d817e44e22a2025-01-24T02:36:57ZengAIMS PressMathematical Biosciences and Engineering1551-00182016-06-0113596998010.3934/mbe.2016025Modeling the spread of bed bug infestation and optimal resource allocation for disinfestationAli Gharouni0Lin Wang1Department of Mathematics and Statistics, University of New Brunswick, Fredericton, NB, E3B 5A3Department of Mathematics and Statistics, University of New Brunswick, Fredericton, NB, E3B 5A3A patch-structured multigroup-like $SIS$ epidemiological model is proposed to study the spread of the common bed bug infestation.It is shown that the model exhibits global threshold dynamics with the basic reproduction number as the threshold parameter.Costs associated with the disinfestation process are incorporated into setting up the optimization problems.Procedures are proposed and simulated for finding optimal resource allocation strategies to achieve the infestation free state.Our analysis and simulations provide useful insights on how to efficiently distribute the available exterminators among the infested patches for optimal disinfestation management.https://www.aimspress.com/article/doi/10.3934/mbe.2016025bed bug infestationthreshold dynamicsoptimal resource allocationdisinfestation.$sis$ model
spellingShingle Ali Gharouni
Lin Wang
Modeling the spread of bed bug infestation and optimal resource allocation for disinfestation
Mathematical Biosciences and Engineering
bed bug infestation
threshold dynamics
optimal resource allocation
disinfestation.
$sis$ model
title Modeling the spread of bed bug infestation and optimal resource allocation for disinfestation
title_full Modeling the spread of bed bug infestation and optimal resource allocation for disinfestation
title_fullStr Modeling the spread of bed bug infestation and optimal resource allocation for disinfestation
title_full_unstemmed Modeling the spread of bed bug infestation and optimal resource allocation for disinfestation
title_short Modeling the spread of bed bug infestation and optimal resource allocation for disinfestation
title_sort modeling the spread of bed bug infestation and optimal resource allocation for disinfestation
topic bed bug infestation
threshold dynamics
optimal resource allocation
disinfestation.
$sis$ model
url https://www.aimspress.com/article/doi/10.3934/mbe.2016025
work_keys_str_mv AT aligharouni modelingthespreadofbedbuginfestationandoptimalresourceallocationfordisinfestation
AT linwang modelingthespreadofbedbuginfestationandoptimalresourceallocationfordisinfestation