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Application of the Malaria Management Model to the Analysis of Costs and Benefits of DDT versus Non-DDT Malaria Control

Author

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  • Matteo Pedercini
  • Santiago Movilla Blanco
  • Birgit Kopainsky

Abstract

Introduction: DDT is considered to be the most cost-effective insecticide for combating malaria. However, it is also the most environmentally persistent and can pose risks to human health when sprayed indoors. Therefore, the use of DDT for vector control remains controversial. Methods: In this paper we develop a computer-based simulation model to assess some of the costs and benefits of the continued use of DDT for Indoor Residual Spraying (IRS) versus its rapid phase out. We apply the prototype model to the aggregated sub Saharan African region. For putting the question about the continued use of DDT for IRS versus its rapid phase out into perspective we calculate the same costs and benefits for alternative combinations of integrated vector management interventions. Results: Our simulation results confirm that the current mix of integrated vector management interventions with DDT as the main insecticide is cheaper than the same mix with alternative insecticides when only direct costs are considered. However, combinations with a stronger focus on insecticide-treated bed nets and environmental management show higher levels of cost-effectiveness than interventions with a focus on IRS. Thus, this focus would also allow phasing out DDT in a cost-effective manner. Although a rapid phase out of DDT for IRS is the most expensive of the tested intervention combinations it can have important economic benefits in addition to health and environmental impacts that are difficult to assess in monetary terms. Those economic benefits captured by the model include the avoided risk of losses in agricultural exports. Conclusions: The prototype simulation model illustrates how a computer-based scenario analysis tool can inform debates on malaria control policies in general and on the continued use of DDT for IRS versus its rapid phase out in specific. Simulation models create systematic mechanisms for analyzing alternative interventions and making informed trade offs.

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  • 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.
  • Handle: RePEc:plo:pone00:0027771
    DOI: 10.1371/journal.pone.0027771
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    1. Gerald O. Barney, 2002. "The Global 2000 Report to the President and the Threshold 21 model: influences of Dana Meadows and system dynamics," System Dynamics Review, System Dynamics Society, vol. 18(2), pages 123-136, June.
    2. Christine Poulos & Maureen Cropper & Julian Lampietti & Mitiku Haile, 2006. "The Demand for Insecticide-Treated Mosquito Nets: Evidence from Africa," Chapters, in: Anna Alberini & James R. Kahn (ed.), Handbook on Contingent Valuation, chapter 15, Edward Elgar Publishing.
    3. Birdsall, Nancy, 1988. "Economic approaches to population growth," Handbook of Development Economics, in: Hollis Chenery & T.N. Srinivasan (ed.), Handbook of Development Economics, edition 1, volume 1, chapter 12, pages 477-542, Elsevier.
    4. Pedercini, Matteo & Barney, Gerald O., 2010. "Dynamic analysis of interventions designed to achieve millennium development goals (MDG): The case of Ghana," Socio-Economic Planning Sciences, Elsevier, vol. 44(2), pages 89-99, June.
    5. Muhammad Azeem Qureshi, 2008. "Challenging trickle‐down approach," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 35(4), pages 269-282, March.
    6. 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.
    7. Sterman, John., 1994. "Learning in and about complex systems," Working papers 3660-94., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    8. Jurg Utzinger & Yesim Tozan & Burton H. Singer, 2001. "Efficacy and cost-effectiveness of environmental management for malaria control," Working Papers 266, Princeton University, Woodrow Wilson School of Public and International Affairs, Center for Health and Wellbeing..
    9. Samuelsen, Helle & Toé, Léa Paré & Baldet, Thierry & Skovmand, Ole, 2004. "Prevention of mosquito nuisance among urban populations in Burkina Faso," Social Science & Medicine, Elsevier, vol. 59(11), pages 2361-2371, December.
    10. Muhammad Azeem Qureshi, 2009. "Human development, public expenditure and economic growth: a system dynamics approach," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 36(1/2), pages 93-104, January.
    11. repec:pri:cheawb:malaria is not listed on IDEAS
    12. repec:pri:cheawb:malaria.pdf is not listed on IDEAS
    13. Robert W. Snow & Carlos A. Guerra & Abdisalan M. Noor & Hla Y. Myint & Simon I. Hay, 2005. "The global distribution of clinical episodes of Plasmodium falciparum malaria," Nature, Nature, vol. 434(7030), pages 214-217, March.
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    Cited by:

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    2. Oleg V. Pavlov & Jason M. Sardell, 2023. "Economic Origins of the Sicilian Mafia: A Simulation Feedback Model," Papers 2304.07975, arXiv.org.
    3. Randall A. Kramer & Leonard E. G. Mboera & Kesheni Senkoro & Adriane Lesser & Elizabeth H. Shayo & Christopher J. Paul & Marie Lynn Miranda, 2014. "A Randomized Longitudinal Factorial Design to Assess Malaria Vector Control and Disease Management Interventions in Rural Tanzania," IJERPH, MDPI, vol. 11(5), pages 1-16, May.
    4. Oleg V Pavlov & Evangelos Katsamakas, 2020. "Will colleges survive the storm of declining enrollments? A computational model," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-29, August.

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