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A Stochastic Simulator of a Blood Product Donation Environment with Demand Spikes and Supply Shocks

机译:具有需求尖峰和供应冲击的血液制品捐赠环境的随机模拟器

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摘要

The availability of an adequate blood supply is a critical public health need. An influenza epidemic or another crisis affecting population mobility could create a critical donor shortage, which could profoundly impact blood availability. We developed a simulation model for the blood supply environment in the United States to assess the likely impact on blood availability of factors such as an epidemic. We developed a simulator of a multi-state model with transitions among states. Weekly numbers of blood units donated and needed were generated by negative binomial stochastic processes. The simulator allows exploration of the blood system under certain conditions of supply and demand rates, and can be used for planning purposes to prepare for sudden changes in the public's health. The simulator incorporates three donor groups (first-time, sporadic, and regular), immigration and emigration, deferral period, and adjustment factors for recruitment. We illustrate possible uses of the simulator by specifying input values for an -week flu epidemic, resulting in a moderate supply shock and demand spike (for example, from postponed elective surgeries), and different recruitment strategies. The input values are based in part on data from a regional blood center of the American Red Cross during –. Our results from these scenarios suggest that the key to alleviating deficit effects of a system shock may be appropriate timing and duration of recruitment efforts, in turn depending critically on anticipating shocks and rapidly implementing recruitment efforts.
机译:充足的血液供应是至关重要的公共卫生需求。流行性感冒或影响人群流动的另一场危机可能会导致严重的供体短缺,这可能会严重影响血液供应。我们针对美国的血液供应环境开发了一个仿真模型,以评估流行病等因素对血液供应的可能影响。我们开发了具有状态间转换的多状态模型模拟器。负二项式随机过程产生了每周捐赠和需要的血液单位数量。该模拟器可以在供求率一定条件下探索血液系统,并且可以用于计划目的,为公众健康的突然变化做好准备。该模拟器包括三个捐助者组(首次,零星和定期),移民和移居,延期和招募调整因素。我们通过指定一周流感流行的输入值来说明模拟器的可能用途,从而导致适度的供应冲击和需求激增(例如,由于推迟的选修手术)以及不同的招聘策略。输入值部分基于–期间来自美国红十字会区域血液中心的数据。我们从这些场景中得出的结果表明,减轻系统冲击的赤字效应的关键可能是适当的招聘时间和持续时间,而关键则取决于预期的冲击并迅速实施招聘工作。

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