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Using decision analysis to improve malaria control policy making.

dc.contributor.author Kramer, R
dc.contributor.author Dickinson, K
dc.contributor.author Anderson, R
dc.contributor.author Fowler, VG
dc.contributor.author Miranda, ML
dc.contributor.author Mutero, CB
dc.contributor.author Saterson, K
dc.contributor.author Wiener, J
dc.coverage.spatial Ireland
dc.date.accessioned 2013-04-23T17:41:30Z
dc.date.issued 2009-10
dc.identifier http://www.ncbi.nlm.nih.gov/pubmed/19356821
dc.identifier S0168-8510(09)00051-7
dc.identifier.issn 0168-8510
dc.identifier.uri https://hdl.handle.net/10161/6741
dc.description.abstract Malaria and other vector-borne diseases represent a significant and growing burden in many tropical countries. Successfully addressing these threats will require policies that expand access to and use of existing control methods, such as insecticide-treated bed nets (ITNs) and artemesinin combination therapies (ACTs) for malaria, while weighing the costs and benefits of alternative approaches over time. This paper argues that decision analysis provides a valuable framework for formulating such policies and combating the emergence and re-emergence of malaria and other diseases. We outline five challenges that policy makers and practitioners face in the struggle against malaria, and demonstrate how decision analysis can help to address and overcome these challenges. A prototype decision analysis framework for malaria control in Tanzania is presented, highlighting the key components that a decision support tool should include. Developing and applying such a framework can promote stronger and more effective linkages between research and policy, ultimately helping to reduce the burden of malaria and other vector-borne diseases.
dc.language eng
dc.publisher Elsevier BV
dc.relation.ispartof Health Policy
dc.relation.isversionof 10.1016/j.healthpol.2009.02.011
dc.subject Animals
dc.subject Decision Support Techniques
dc.subject Humans
dc.subject Insect Vectors
dc.subject Malaria
dc.subject Mosquito Control
dc.subject Policy Making
dc.subject Tanzania
dc.title Using decision analysis to improve malaria control policy making.
dc.type Journal article
duke.contributor.id Kramer, R|0114855
duke.contributor.id Fowler, VG|0025542
duke.contributor.id Miranda, ML|0040968
duke.contributor.id Wiener, J|0097008
pubs.author-url http://www.ncbi.nlm.nih.gov/pubmed/19356821
pubs.begin-page 133
pubs.end-page 140
pubs.issue 2-3
pubs.organisational-group Basic Science Departments
pubs.organisational-group Clinical Science Departments
pubs.organisational-group Duke
pubs.organisational-group Duke Clinical Research Institute
pubs.organisational-group Duke Law School
pubs.organisational-group Duke Science & Society
pubs.organisational-group Economics
pubs.organisational-group Environmental Sciences and Policy
pubs.organisational-group Global Health Institute
pubs.organisational-group Initiatives
pubs.organisational-group Institutes and Centers
pubs.organisational-group Institutes and Provost's Academic Units
pubs.organisational-group Medicine
pubs.organisational-group Medicine, Infectious Diseases
pubs.organisational-group Molecular Genetics and Microbiology
pubs.organisational-group Nicholas School of the Environment
pubs.organisational-group Nicholas School of the Environment - Secondary Group
pubs.organisational-group Pediatrics
pubs.organisational-group Sanford School of Public Policy
pubs.organisational-group Sanford School of Public Policy - Secondary Group
pubs.organisational-group School of Law - Secondary Group
pubs.organisational-group School of Medicine
pubs.organisational-group Trinity College of Arts & Sciences
pubs.organisational-group University Institutes and Centers
pubs.publication-status Published
pubs.volume 92
duke.contributor.orcid Kramer, R|0000-0002-1325-7425
duke.contributor.orcid Fowler, VG|0000-0002-8048-0897


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