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Mass-casualty (MASCAL) events are known to occur in the combat setting. There are very limited data at this time from the Joint Theater (Iraq and Afghanistan) wars specific to MASCAL events. The purpose of this report was to provide preliminary data for the development of prehospital planning and guidelines.
Cases were identified using the Department of Defense (DoD; Virginia USA) Trauma Registry (DoDTR) and the Prehospital Trauma Registry (PHTR). These cases were identified as part of a research study evaluating Tactical Combat Casualty Care (TCCC) guidelines. Cases that were designated as or associated with denoted MASCAL events were included.
Fifty subjects were identified during the course of this project. Explosives were the most common cause of injuries. There was a wide range of vital signs. Tourniquet placement and pressure dressings were the most common interventions, followed by analgesia administration. Oral transmucosal fentanyl citrate (OTFC) was the most common parenteral analgesic drug administered. Most were evacuated as “routine.” Follow-up data were available for 36 of the subjects and 97% were discharged alive.
The most common prehospital interventions were tourniquet and pressure dressing hemorrhage control, along with pain medication administration. Larger data sets are needed to guide development of MASCAL in-theater clinical practice guidelines.
SchauerSG, AprilMD, SimonE, MaddryJK, CarterR III, DelorenzoRA. Prehospital Interventions During Mass-Casualty Events in Afghanistan: A Case Analysis. Prehosp Disaster Med. 2017;32(4):465–468.
Seasonal price premiums have been proposed as a means of dampening the highly seasonal patterns of milk production in Florida. A Markov decision bio-economic model of the breeding and replacement decisions was solved via stochastic dynamic programming and used to analyze the potential supply response to seasonal price premiums. The results of the analysis suggest that the seasonal milk supply in Florida is highly price inelastic.
Seasonal swings in milk production in Florida result in a need to import milk on a seasonal basis. A linear programming analysis is used to analyze alternate freshening-date distributions and project the cost savings to Florida dairy farmers from reduced milk imports.
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