Resource allocation for epidemic control in metapopulations.

Deployment of limited resources is an issue of major importance for decision-making in crisis events. This is especially true for large-scale outbreaks of infectious diseases. Little is known when it comes to identifying the most efficient way of deploying scarce resources for control when disease o...

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Main Authors: Martial L Ndeffo Mbah, Christopher A Gilligan
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2011-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21931762/?tool=EBI
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spelling doaj-0292fd47fb234b5ca5cbbcba89b56b6e2021-03-03T19:52:23ZengPublic Library of Science (PLoS)PLoS ONE1932-62032011-01-0169e2457710.1371/journal.pone.0024577Resource allocation for epidemic control in metapopulations.Martial L Ndeffo MbahChristopher A GilliganDeployment of limited resources is an issue of major importance for decision-making in crisis events. This is especially true for large-scale outbreaks of infectious diseases. Little is known when it comes to identifying the most efficient way of deploying scarce resources for control when disease outbreaks occur in different but interconnected regions. The policy maker is frequently faced with the challenge of optimizing efficiency (e.g. minimizing the burden of infection) while accounting for social equity (e.g. equal opportunity for infected individuals to access treatment). For a large range of diseases described by a simple SIRS model, we consider strategies that should be used to minimize the discounted number of infected individuals during the course of an epidemic. We show that when faced with the dilemma of choosing between socially equitable and purely efficient strategies, the choice of the control strategy should be informed by key measurable epidemiological factors such as the basic reproductive number and the efficiency of the treatment measure. Our model provides new insights for policy makers in the optimal deployment of limited resources for control in the event of epidemic outbreaks at the landscape scale.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21931762/?tool=EBI
collection DOAJ
language English
format Article
sources DOAJ
author Martial L Ndeffo Mbah
Christopher A Gilligan
spellingShingle Martial L Ndeffo Mbah
Christopher A Gilligan
Resource allocation for epidemic control in metapopulations.
PLoS ONE
author_facet Martial L Ndeffo Mbah
Christopher A Gilligan
author_sort Martial L Ndeffo Mbah
title Resource allocation for epidemic control in metapopulations.
title_short Resource allocation for epidemic control in metapopulations.
title_full Resource allocation for epidemic control in metapopulations.
title_fullStr Resource allocation for epidemic control in metapopulations.
title_full_unstemmed Resource allocation for epidemic control in metapopulations.
title_sort resource allocation for epidemic control in metapopulations.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2011-01-01
description Deployment of limited resources is an issue of major importance for decision-making in crisis events. This is especially true for large-scale outbreaks of infectious diseases. Little is known when it comes to identifying the most efficient way of deploying scarce resources for control when disease outbreaks occur in different but interconnected regions. The policy maker is frequently faced with the challenge of optimizing efficiency (e.g. minimizing the burden of infection) while accounting for social equity (e.g. equal opportunity for infected individuals to access treatment). For a large range of diseases described by a simple SIRS model, we consider strategies that should be used to minimize the discounted number of infected individuals during the course of an epidemic. We show that when faced with the dilemma of choosing between socially equitable and purely efficient strategies, the choice of the control strategy should be informed by key measurable epidemiological factors such as the basic reproductive number and the efficiency of the treatment measure. Our model provides new insights for policy makers in the optimal deployment of limited resources for control in the event of epidemic outbreaks at the landscape scale.
url https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21931762/?tool=EBI
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AT christopheragilligan resourceallocationforepidemiccontrolinmetapopulations
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