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Bacterial Resistance and the Optimal Use of Antibiotics

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  • Laxminarayan, Ramanan

Abstract

The increasing resistance of harmful biological organisms (bacteria, parasites, and pests) to selection pressure from the widespread use of control agents such as antibiotics, antimalarials, and pesticides is a serious problem in both medicine and agriculture. Modeling resistance-or, conversely, the effectiveness of these control agents as a biological resource-yields insights into how these agents should be optimally managed to maximize their economic benefit to society. This paper uses a model of evolution of bacterial resistance to antibiotics-in which resistance places an evolutionary disadvantage on the resistant organism-to develop a simple sequential algorithm of optimal antibiotic use. Although the solution to this problem follows the well-recognized rule of using resources in the order of increasing marginal cost, the unique ways in which these economic costs arise from differing biological traits distinguishes this problem from others in the natural resources arena. This paper also examines the option of periodically rotating between two or more antibiotics and characterizes the economic and biological criteria under which a cycling strategy is superior to simultaneous use of two or more antibiotics.

Suggested Citation

  • Laxminarayan, Ramanan, 2001. "Bacterial Resistance and the Optimal Use of Antibiotics," Discussion Papers 10479, Resources for the Future.
  • Handle: RePEc:ags:rffdps:10479
    DOI: 10.22004/ag.econ.10479
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    References listed on IDEAS

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    6. Laxminarayan, Ramanan & Brown, Gardner M., 2001. "Economics of Antibiotic Resistance: A Theory of Optimal Use," Journal of Environmental Economics and Management, Elsevier, vol. 42(2), pages 183-206, September.
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    Cited by:

    1. Troy Day & David A Kennedy & Andrew F Read & David McAdams, 2021. "The economics of managing evolution," PLOS Biology, Public Library of Science, vol. 19(11), pages 1-14, November.
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    3. Albert, Jason, 2021. "Strategic dynamics of antibiotic use and the evolution of antibiotic-resistant infections," International Journal of Industrial Organization, Elsevier, vol. 77(C).
    4. Naveed Chehrazi & Lauren E. Cipriano & Eva A. Enns, 2019. "Dynamics of Drug Resistance: Optimal Control of an Infectious Disease," Operations Research, INFORMS, vol. 67(3), pages 619-650, May.
    5. Ramanan Laxminarayan & R. Simpson, 2002. "Refuge Strategies for Managing Pest Resistance in Transgenic Agriculture," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 22(4), pages 521-536, August.

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