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Prepositioning Antibiotics for Anthrax (2012) / Chapter Skim
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Appendix C: First-Order Model
Pages 237-240

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From page 237...
... monitoring and surveillance systems, as well as data from past BioWatch Actionable Results, accidental releases, and drills, to estimate the various times contributing to the value of δ. These include the time: • needed to deliver MCM from the nearest Strategic National Stock pile (SNS)
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From page 238...
... for the time from start of dispensing MCM to completion. Using the simplifying assumptions that the size of the dispensing staff is constant, that staff are never idle, and that the service time is constant at the PODs, it can readily be shown that, given the goal g for the time from starting to completing dispensing, the distribution function for X is uniform: x Φ ( x)
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From page 239...
... dt = 1− 2 S= (4) 3g g δ This equation is valid for g >0; since the practical realities of even the most ideal strategy for predispensing to individuals will involve some finite delay, for all practical purposes, g will never be exactly equal to 0.
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From page 240...
... 2006. Sverdlovsk revisited: Modeling human inhalation anthrax.
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Key Terms

  • randomly selected
  • prepositioning strategy
  • survival function
  • selected individuals
  • release scenario

  • timely prophylaxis
  • existing submodels
  • exposed individuals
  • simplifying assumptions
  • finite delay

  • tained analytically
  • probability density
  • completing dispensing
  • past biowatch
  • term survival

  • service time
  • accidental releases
  • density function
  • exactly equal
  • particular prepositioning

  • times contributing
  • ideal strategy
  • practical purposes
  • dispensing staff
  • inhalation anthrax

  • period curves
  • human inhalation
  • selected individual
  • distribution function
  • vival data


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