<p dir="ltr">With increasing frequency, American schools have been plagued with mass casualty events perpetrated by offenders using various types of firearms. In recent years, several studies have used AnyLogic®, an agent-based computer modeling software, to model some of these mass shooting events. More specifically, researchers have modeled mass shooting events and how changes in police response and victim response affect casualty rates in these scenarios. Another model has used the same agent-based software to model mass-casualty events of various venues. The model goes further by integrating what will be known throughout this paper as “the bleed-out model”. The bleed-out model uses known data from these mass casualty events to model types of injuries and their related probability of resulting in a fatality. The model also uses known data about traumatic wound interventions from mass casualty scenarios, as well as law enforcement and military applications, to model life-saving measures to counteract traumatic injuries and decrease the probability of a victim becoming a fatality. This research used AnyLogic® software to integrate agent-based school shooting models with an agent-based bleed-out model. Once combined, individual first aid kits (IFAKs) geared toward traumatic wound/hemorrhaging care were introduced into the environment and their placement was arranged in several different ways. AnyLogic® software and quantitative analysis were used to make recommendations about best practices for implementing IFAKS in schools. This research specifically examines whether the placement distance for IFAKS in schools during an active shooter incident could have a statistically significant impact on the survivability of active shooter victims. Different scenarios are assessed in the AnyLogic® model varying the placement of a fixed number of IFAKS throughout the school during an incident.</p>
| Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/24751875 |
| Date | 12 December 2023 |
| Creators | Collin N Knolhoff (17586267) |
| Source Sets | Purdue University |
| Detected Language | English |
| Type | Text, Thesis |
| Rights | CC BY 4.0 |
| Relation | https://figshare.com/articles/thesis/OPTIMIZING_INDIVIDUAL_FIRST-AID_KIT_PLACEMENT_IN_K-12_SCHOOL_ENVIRONMENTS/24751875 |
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