Mass-casualty incidents (MCI) cause a sudden increase in demand of medical resources in a region. The most important and challenging task in addressing an MCI is managing overwhelmed resources with the goal of increasing total number of survivors. Currently, most of the decisions following an MCI are made in an ad-hoc manner or by following static guidelines that do not account for amount of available resources and number of the casualties. The purpose of this dissertation is to introduce and analyze sophisticated service prioritization and resource allocation tools. These tools can be used to produce service order strategies that increase the overall number of survivors. There are several models proposed that account for number and mix of the casualties, and amount and type of the resources available. Large number of the elements involved in this problem makes the model very complex, and thus, in order to gain some insights into the structure of the optimal solutions, some of the proposed models are developed under simplifying assumptions. These assumptions include limitations on the number of casualty types, handling of deaths, servers, and types of resources. Under these assumptions several characteristics of the optimal policies are identified, and optimal algorithms for various scenarios are developed. We also develop an integrated model that addresses service order, transportation, and hospital selection. A comprehensive set of computational results and comparison with the related works in the literature are provided in order to demonstrate the efficacy of the proposed methodologies. / Ph. D.

International Telemetering Conference Proceedings / October 25-28, 1993 / Riviera Hotel and Convention Center, Las Vegas, Nevada / The On-board Data Interface Module (ODIM) was developed specifically to provide real-time casualty assessment telemetry data for the training environment on the instrumented range system at the U. S. Army National Training Center (NTC) located at Ft. Irwin, California. Real-time data acquisition and telemetry systems, such as the ODIM, which enhance the feed back capabilities of fielded training systems are becoming increasingly important to the Department of Defense in these times of shrinking defense budgets and decreasing global stability. The ODIM is designed to combine, process and transmit data from the AH-64 (Apache) 1553 data bus, the Aircraft Survivability Equipment (ASE) threat warnings, the on-board training system laser belt, cockpit kill indicators, and status data. The ODIM also downlinks the stored data though the Micro-B transceiver on the AH-64A. For the application at the NTC, the ODIM looks for very specific data from the AH-64 and the MILES/AGES II system. However, the ODIM is programmable to collect any of the data available from these systems. The uplink/ downlink available through the Micro-B transceiver allows the user access to the ODIM's features even from a remote location.

Disaster preparedness is absolutely necessary as the number of both man-made and natural disasters increases worldwide. Not confined to any regions or people, disasters can result in mass casualties. The United States is not spared from these incidents. Ever since the 9/11 terrorist attacks, the United States has tried to establish more effective and efficient emergency management systems at all levels in order to respond to any type of disaster. Due to the effort, much improvement in disaster preparedness was observed when mass casualty events happened within the last 10 years. Although there are many independent studies for each mass casualty event, there are very few studies done to compare multiple mass casualty incidents and find commonly shared lessons. This paper aims to determine whether there are any similarities among three mass casualty events - 2005 Hurricane Katrina, the 2009 Aurora Theatre Shooting, and the 2013 Boston Marathon Bombing. Because the response to the 2013 Boston Marathon Bombing was the most seamless among the three, the most in-depth investigation was done on this incident. Through the examination, the study will also prove if any of the lessons learned from these events can be implemented in future mass casualty incidents. To do so, many current reports and literature reviews were analyzed. The conclusion gained from this study is that there are indeed commonly occurring challenges in disasters and various aspects of disaster preparedness that require practice and preparation. In addition, learning from others' unfortunate mass casualty incidents and their lessons is an important part of strengthening the existing disaster preparedness systems.

Thesis PlanB (M.S.)--University of Wisconsin--Stout, 2009. / Includes bibliographical references.

Thesis (Ph. D.)--University of Texas at Austin, 1999. / Vita. Includes bibliographical references (leaves 119-122). Available also in a digital version from Dissertation Abstracts.

Thesis (Ph. D.)--Ohio State University, 2007. / Title from first page of PDF file. Includes bibliographical references (p. 97-99).

The purpose of this study was to determine hospital preparedness for an internal mass casualty/active shooter event at Tennessee hospitals. Data were collected during May of 2019 by surveying the CEOs of the 86 acute care hospitals in Tennessee. The survey solicited responses about training, preparedness, and internal evaluation of procedures. CEOs of 28 (32.5%) of Tennessee’s acute care hospitals responded to the survey. Just over half (53.6%) of those responding indicated that they believed their facility was prepared or well prepared for an active shooter event. The mean responses of CEOs who had experienced an active shooter event were significantly lower than those CEOs who had not. Seventy-two percent of CEOs indicated that policies and procedures for active shooter/mass casualty events were updated at least every other year.

In this thesis, we consider a swarm of military drones flying over an unfriendly territory, where a drone can be shot down by an enemy with an age-based risk probability. We study the problem of scheduling surveillance image transmissions among the drones with the objective of minimizing the overall casualty. We present Hector, a reinforcement learning-based scheduling algorithm. Specifically, Hector only uses the age of each detected target, a piece of locally available information at each drone, as an input to a neural network to make scheduling decisions. Extensive simulations show that Hector significantly reduces casualties than a baseline round-robin algorithm. Further, Hector can offer comparable performance to a high-performing greedy scheduler, which assumes complete knowledge of global information. / Master of Science / Drones have been successfully deployed by the military. The advancement of machine learning further empowers drones to automatically identify, recognize, and even eliminate adversary targets on the battlefield. However, to minimize unnecessary casualties to civilians, it is important to introduce additional checks and control from the control center before lethal force is authorized. Thus, the communication between drones and the control center becomes critical. In this thesis, we study the problem of communication between a military drone swarm and the control center when drones are flying over unfriendly territory where drones can be shot down by enemies. We present Hector, an algorithm based on machine learning, to minimize the overall casualty of drones by scheduling data transmission. Extensive simulations show that Hector significantly reduces casualties than traditional algorithms.

Balbutiante à la fin de l’Ancien Régime, interdite sous la Révolution, quasi inexistante sous le premier Empire, l’assurance de dommages réapparut sous la Restauration pour prendre son envol sous le second Empire. La Révolution avait certes interdit les sociétés d’assurances, mais en sacralisant l’individu elle a développé le besoin de sécurité et donc à terme le besoin d’assurances. Ce sont des créateurs humanistes qui relancèrent l’idée d’assurance en concevant les premières mutuelles contournant ainsi l’interdiction révolutionnaire. L’assurance de dommages s’est construite sur la science des jurisconsultes et sur la jurisprudence. Le législateur est intervenu tardivement, en 1930, alors que les compagnies d’assurances avaient déjà pris leur essor. Au XVIIIe et XIXe siècles, il s’agissait de protéger ses biens contre les risques d’incendie. La société française étant alors essentiellement agricole, les assurances couvraient aussi le risque de grêle et la mortalité du bétail. L’industrialisation de la France a contribué au développement des contrats de responsabilité professionnelle et aussi de responsabilité civile. L’assurance automobile en est un exemple. Aujourd’hui, l’assurance est une activité complexe exigeant une grande technicité et à forts enjeux financiers. Elle est dans de nombreux cas devenue obligatoire. Pourquoi avoir interdit les sociétés d’assurances sous la Révolution ? Comment s’est construite et s’est développée l’assurance avant que le législateur n’intervienne ? Quelle a été son évolution et quel fut le rôle de l’État après la loi de 1930? C’est à ces questions que nous tenterons de répondre au cours de cette étude. / History of property and casualty insurance in France In its infancy at the end of the Ancien Régime, forbidden under the Revolution, almost non-existent under the first Empire, property and casualty insurance reappeared under the Restoration to take off under the second Empire. The Revolution had admittedly forbidden insurance companies, but by making sacred the individual it developed the need for security and thus eventually the need for insurance. Humanist creators re-launched the idea of insurances by creating the first mutual insurance companies thereby bypassing the revolutionary ban. Property and casualty insurance built itself on the science of the lawyers and on jurisprudence. The legislator intervened later, in 1930, although insurance companies had continued to develop. Initially it was a question of protecting ones possessions against fire risks. The French society being then essentially agricultural, the insurances also covered the risk of hail and the mortality of the cattle. The industrialization of France contributed to the development of the contracts of professional and civil liability. The automobile insurance is an example. Today the business of insurance is a highly technical and complex activity with high financial stakes. In numerous cases it is compulsory. What were the reasons for forbidding insurance companies under the Revolution? How did the insurance business develop before the legislator intervened? What changed and what was the part of the government after the law of 1930? We shall try to answer these questions by this study.

Universiẗat, Diss.--Frankfurt (Main), 2001. / Literaturverz. S. 159 - 189.