IDEAS home Printed from https://ideas.repec.org/a/eee/hepoli/v92y2009i2-3p133-140.html
   My bibliography  Save this article

Using decision analysis to improve malaria control policy making

Author

Listed:
  • Kramer, Randall A.
  • Dickinson, Katherine L.
  • Anderson, Richard M.
  • Fowler, Vance G.
  • Miranda, Marie Lynn
  • Mutero, Clifford M.
  • Saterson, Kathryn A.
  • Wiener, Jonathan B.

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.

Suggested Citation

  • Kramer, Randall A. & Dickinson, Katherine L. & Anderson, Richard M. & Fowler, Vance G. & Miranda, Marie Lynn & Mutero, Clifford M. & Saterson, Kathryn A. & Wiener, Jonathan B., 2009. "Using decision analysis to improve malaria control policy making," Health Policy, Elsevier, vol. 92(2-3), pages 133-140, October.
  • Handle: RePEc:eee:hepoli:v:92:y:2009:i:2-3:p:133-140
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0168-8510(09)00051-7
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ikuho Kochi & Bryan Hubbell & Randall Kramer, 2006. "An Empirical Bayes Approach to Combining and Comparing Estimates of the Value of a Statistical Life for Environmental Policy Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 34(3), pages 385-406, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Matteo Pedercini & Santiago Movilla Blanco & Birgit Kopainsky, 2011. "Application of the Malaria Management Model to the Analysis of Costs and Benefits of DDT versus Non-DDT Malaria Control," PLOS ONE, Public Library of Science, vol. 6(11), pages 1-12, November.
    2. Zachary S. Brown & Randall A. Kramer, 2018. "Preference Heterogeneity in the Structural Estimation of Efficient Pigovian Incentives for Insecticide Spraying to Reduce Malaria," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 70(1), pages 169-190, May.
    3. Manuela Runge & Robert W Snow & Fabrizio Molteni & Sumaiyya Thawer & Ally Mohamed & Renata Mandike & Emanuele Giorgi & Peter M Macharia & Thomas A Smith & Christian Lengeler & Emilie Pothin, 2020. "Simulating the council-specific impact of anti-malaria interventions: A tool to support malaria strategic planning in Tanzania," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-25, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Aaron Sojourner, "undated". "Partial identification of willingness-to-pay using shape restrictions with an application to the value of a statistical life," Working Papers 0110, Human Resources and Labor Studies, University of Minnesota (Twin Cities Campus).
    2. Richard T. Carson & Miko_aj Czajkowski, 2014. "The discrete choice experiment approach to environmental contingent valuation," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 9, pages 202-235, Edward Elgar Publishing.
    3. Natina Yaduma & Mika Kortelainen & Ada Wossink, 2013. "Estimating Mortality and Economic Costs of Particulate Air Pollution in Developing Countries: The Case of Nigeria," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 54(3), pages 361-387, March.
    4. Bergstrom, John C. & Taylor, Laura O., 2006. "Using meta-analysis for benefits transfer: Theory and practice," Ecological Economics, Elsevier, vol. 60(2), pages 351-360, December.
    5. Wijnen, Wim & Wesemann, Paul & de Blaeij, Arianne, 2009. "Valuation of road safety effects in cost-benefit analysis," Evaluation and Program Planning, Elsevier, vol. 32(4), pages 326-331, November.
    6. Trudy Cameron & J. DeShazo & Peter Stiffler, 2010. "Demand for health risk reductions: A cross-national comparison between the U.S. and Canada," Journal of Risk and Uncertainty, Springer, vol. 41(3), pages 245-273, December.
    7. Jorge Eduardo Martínez Pérez & José María Abellán Perpiñán & José Luis Pinto Prades, 2007. "El Valor Monetario de la Vida Estadística en España a través de las Preferencias Declaradas," Hacienda Pública Española / Review of Public Economics, IEF, vol. 183(4), pages 125-144, december.
    8. Jonathan M. Lee & Laura O. Taylor, 2019. "Randomized Safety Inspections and Risk Exposure on the Job: Quasi-experimental Estimates of the Value of a Statistical Life," American Economic Journal: Economic Policy, American Economic Association, vol. 11(4), pages 350-374, November.
    9. Richard T. Carson & Theodore Groves & John A. List, 2014. "Consequentiality: A Theoretical and Experimental Exploration of a Single Binary Choice," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 1(1), pages 171-207.
    10. Doucouliagos, Chris & Stanley, T.D. & Giles, Margaret, 2012. "Are estimates of the value of a statistical life exaggerated?," Journal of Health Economics, Elsevier, vol. 31(1), pages 197-206.
    11. Hall, Jane V. & Brajer, Victor & Lurmann, Frederick W., 2010. "Air pollution, health and economic benefits--Lessons from 20Â years of analysis," Ecological Economics, Elsevier, vol. 69(12), pages 2590-2597, October.
    12. Hammitt, James K. & Robinson, Lisa A., 2011. "The Income Elasticity of the Value per Statistical Life: Transferring Estimates between High and Low Income Populations," Journal of Benefit-Cost Analysis, Cambridge University Press, vol. 2(1), pages 1-29, January.
    13. Rheinberger, Christoph M. & Hammitt, James K., 2011. "Risk-Risk Tradeoffs in Fish Consumption: Can You Have the Cake and Eat It Too?," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114813, European Association of Agricultural Economists.
    14. Roumasset, James & Ravago, Majah-Leah & Jandoc, Karl & Arellano, Clarissa, 2016. "Environmental Resources, Shocks, and National Well-Being," MPRA Paper 87715, University Library of Munich, Germany.
    15. Johansson-Stenman, Olof & Svedsäter, Henrik, 2011. "Self-Image and Valuation of Moral Goods: Stated versus Real Willingness to Pay," Working Papers in Economics 484, University of Gothenburg, Department of Economics.
    16. Cameron, Trudy Ann & DeShazo, J.R., 2013. "Demand for health risk reductions," Journal of Environmental Economics and Management, Elsevier, vol. 65(1), pages 87-109.
    17. Andersson, Henrik & Hole, Arne Risa & Svensson, Mikael, 2016. "Valuation of small and multiple health risks: A critical analysis of SP data applied to food and water safety," Journal of Environmental Economics and Management, Elsevier, vol. 75(C), pages 41-53.
    18. W. Kip Viscusi, 2009. "The devaluation of life," Regulation & Governance, John Wiley & Sons, vol. 3(2), pages 103-127, June.
    19. Wheeler, William & Dockins, Chris, 2013. "Meta-Analysis and Publication Bias in the Hedonic Wage Literature," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150725, Agricultural and Applied Economics Association.
    20. Henry A. Roman & James K. Hammitt & Tyra L. Walsh & David M. Stieb, 2012. "Expert Elicitation of the Value per Statistical Life in an Air Pollution Context," Risk Analysis, John Wiley & Sons, vol. 32(12), pages 2133-2151, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:hepoli:v:92:y:2009:i:2-3:p:133-140. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu or the person in charge (email available below). General contact details of provider: http://www.elsevier.com/locate/healthpol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.