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A game-theoretic model of international influenza vaccination coordination

机译:国际流感疫苗接种协调的博弈模型

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摘要

One of the challenges of the vaccination programs is the coordination of incentives of different purchasers of influenza vaccines. These incentives are misaligned because of 1. Interdependent risks due to transnational disease transmission, 2. Economic sensitivities to influenza outbreaks in different countries, and 3. Different decisions made by the governments of those countries. Thus, there is a suboptimal allocation of vaccines for annual influenza, which is relative to the objective of minimizing the global financial burden of influenza. However, initiatives are made to ensure that regions that are the source of infection receive guaranteed vaccine quantities, financial support for cold supply chains, increased supply and provision to developing countries. Using a game-theoretic approach and a simplified epidemic model that accounts for a number of key risks and that is tractable, the research work has tried to construct contractual mechanisms that can increase vaccine supplies for seasonal influenza to developing countries. The key idea is that the source country is subsidized to increase its vaccination effort by other countries that also benefit from that vaccination effort due to interdependent risks of infection transmission. The paper also reports the numerical experiments conducted and the significant benefits of contracts that are derived with the simplified epidemic model. (33 refs.)
机译:疫苗接种计划的挑战之一是协调不同流感疫苗购买者的激励措施。由于1.跨国疾病传播导致相互依存的风险,2.不同国家对流感爆发的经济敏感性,以及3.这些国家政府做出的不同决定,导致这些激励措施不一致。因此,针对年度流感的疫苗分配不理想,这与使流感的全球经济负担最小化的目标有关。但是,已采取措施以确保作为感染源的地区获得有保证的疫苗数量,对冷供应链的财政支持,增加的向发展中国家的供应和供应。研究工作使用博弈论方法和简化的流行病模型来解释许多关键风险,这种流行病易于处理,研究工作试图建立合同机制,以增加向发展中国家提供的季节性流感疫苗供应。关键思想是,其他国家也将补贴来源国增加其疫苗接种工作,由于感染传播的相互依存风险,其他国家也从该疫苗接种工作中受益。本文还报告了进行的数值实验以及使用简化的流行病模型得出的合同的显着收益。 (33参考)

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  • 来源
    《Operations Research》 |2014年第4期|353-356|共4页
  • 作者单位

    Information Systems and Operations Management Department,Foster School of Business, University of Washington, Seattle, Washington 98195;

    Technology and Operations Management Area,INSEAD, 77305 Fontainebleau, France;

    Operations Research Center, Massachusetts Institute of Technology,Cambridge, Massachusetts 02139;

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