Approximating optimal controls for networks when there are combinations of population-level and targeted measures available

chlamydia infection as a case-study

James Clarke, K. A. Jane White, Katy Turner

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Using a modified one-dimensional model for the spread of an SIS disease on a network, we show that the behaviour of complex network simulations can be replicated with a simpler model. This model is then used to design optimal controls for use on the network, which would otherwise be unfeasible to obtain, resulting in information about how best to combine a population-level random intervention with one that is more targeted. This technique is used to minimise intervention costs over a short time interval with a target prevalence, and also to minimise prevalence with a specified budget. When applied to chlamydia, we find results consistent with previous work; that is maximising targeted control (contact tracing) is important to using resources effectively, while high-intensity bursts of population control (screening) are more effective than maintaining a high level of coverage.
Original languageEnglish
Pages (from-to)1747-1777
Number of pages31
JournalBulletin of Mathematical Biology
Volume75
Issue number10
DOIs
Publication statusPublished - Oct 2013

Fingerprint

Chlamydia Infections
Chlamydia
Infection
Optimal Control
Contact Tracing
case studies
Minimise
Population Control
Network Simulation
Budgets
One-dimensional Model
Tracing
Burst
infection
Complex Networks
Population
Screening
Coverage
Complex networks
Contact

Cite this

@article{03a5dec890564401a2242aa3cdc80e81,
title = "Approximating optimal controls for networks when there are combinations of population-level and targeted measures available: chlamydia infection as a case-study",
abstract = "Using a modified one-dimensional model for the spread of an SIS disease on a network, we show that the behaviour of complex network simulations can be replicated with a simpler model. This model is then used to design optimal controls for use on the network, which would otherwise be unfeasible to obtain, resulting in information about how best to combine a population-level random intervention with one that is more targeted. This technique is used to minimise intervention costs over a short time interval with a target prevalence, and also to minimise prevalence with a specified budget. When applied to chlamydia, we find results consistent with previous work; that is maximising targeted control (contact tracing) is important to using resources effectively, while high-intensity bursts of population control (screening) are more effective than maintaining a high level of coverage.",
author = "James Clarke and White, {K. A. Jane} and Katy Turner",
year = "2013",
month = "10",
doi = "10.1007/s11538-013-9867-9",
language = "English",
volume = "75",
pages = "1747--1777",
journal = "Bulletin of Mathematical Biology",
issn = "0092-8240",
publisher = "Springer New York",
number = "10",

}

TY - JOUR

T1 - Approximating optimal controls for networks when there are combinations of population-level and targeted measures available

T2 - chlamydia infection as a case-study

AU - Clarke, James

AU - White, K. A. Jane

AU - Turner, Katy

PY - 2013/10

Y1 - 2013/10

N2 - Using a modified one-dimensional model for the spread of an SIS disease on a network, we show that the behaviour of complex network simulations can be replicated with a simpler model. This model is then used to design optimal controls for use on the network, which would otherwise be unfeasible to obtain, resulting in information about how best to combine a population-level random intervention with one that is more targeted. This technique is used to minimise intervention costs over a short time interval with a target prevalence, and also to minimise prevalence with a specified budget. When applied to chlamydia, we find results consistent with previous work; that is maximising targeted control (contact tracing) is important to using resources effectively, while high-intensity bursts of population control (screening) are more effective than maintaining a high level of coverage.

AB - Using a modified one-dimensional model for the spread of an SIS disease on a network, we show that the behaviour of complex network simulations can be replicated with a simpler model. This model is then used to design optimal controls for use on the network, which would otherwise be unfeasible to obtain, resulting in information about how best to combine a population-level random intervention with one that is more targeted. This technique is used to minimise intervention costs over a short time interval with a target prevalence, and also to minimise prevalence with a specified budget. When applied to chlamydia, we find results consistent with previous work; that is maximising targeted control (contact tracing) is important to using resources effectively, while high-intensity bursts of population control (screening) are more effective than maintaining a high level of coverage.

UR - http://www.scopus.com/inward/record.url?scp=84879326513&partnerID=8YFLogxK

UR - http://dx.doi.org/10.1007/s11538-013-9867-9

U2 - 10.1007/s11538-013-9867-9

DO - 10.1007/s11538-013-9867-9

M3 - Article

VL - 75

SP - 1747

EP - 1777

JO - Bulletin of Mathematical Biology

JF - Bulletin of Mathematical Biology

SN - 0092-8240

IS - 10

ER -