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.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.identifier | ||
dc.identifier | S0168-8510(09)00051-7 | |
dc.identifier.issn | 0168-8510 | |
dc.identifier.uri | ||
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.orcid | Kramer, R|0000-0002-1325-7425 | |
duke.contributor.orcid | Fowler, VG|0000-0002-8048-0897 | |
pubs.author-url | ||
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 |
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