Thesis (Ph. D.)--Pardee RAND Graduate School, 2004. / Includes bibliographical references (p. 177-185).

Thesis (Ph. D.)--Pardee RAND Graduate School, 2004. / Includes bibliographical references (p. 177-185).

Thesis (Ph. D.)--Pardee RAND Graduate School, 2004. / Includes bibliographical references (p. 177-185). Also available via the Internet.

Thesis (M.A. in Security Studies (Homeland Security and Defense))--Naval Postgraduate School, March 2007. / Thesis Advisor(s): Thomas J. Mackin, Nadav Morag. "March 2007." Includes bibliographical references (p. 75-79). Also available in print.

Thesis (M.S.)--Missouri State University, 2008. / "May 2008." Includes bibliographical references (leaves 83-92). Also available online.

Thesis (M.A. in International Security and Civil-Military Relations)--Naval Postgraduate School, March 2005. / Thesis Advisor(s): Donald Abenheim, Maria Rasmussen. Includes bibliographical references (p. 57-60). Also available online.

Approved for public release, distribution is unlimited / The rapidly growing threat to civilian populations from different terrorist organizations and nuclear states involved in regional conflicts require new unorthodox solutions. The purpose of this work is to analyze steps that have been taken on the European continent before and after September 11 in order to create a new, more efficient system of protection of the civilian population against CBRN terrorist attacks, and to explore NATO's role in the most problematic issues. The research examines what was done within NATO since 1998 by members of the Euro-Atlantic Partnership Council in the field of improving population protection against the consequences of CBRN terrorist attacks in two dimensions: national and international. This evaluation leads to the argument that supports the importance of the creation of an international system of mutual assistance in case of CBRN terrorist attacks under NATO's leading role. / Lieutenant Colonel, Ministry for Emergencies of Ukraine

Mitigation response plans must be created to protect affected populations during biological emergencies resulting from the release of harmful biochemical substances. Medical countermeasures have been stockpiled by the federal government for such emergencies. However, it is the responsibility of local governments to maintain solid, functional plans to apply these countermeasures to the entire target population within short, mandated time frames. Further, vulnerabilities in the population may serve as barriers preventing certain individuals from participating in mitigation activities. Therefore, functional response plans must be capable of reaching vulnerable populations.Transportation vulnerability results from lack of access to transportation. Transportation vulnerable populations located too far from mitigation resources are at-risk of not being able to participate in mitigation activities. Quantification of these populations requires the development of computational methods to integrate spatial demographic data and transportation resource data from disparate sources into the context of planned mitigation efforts. Research described in this dissertation focuses on quantifying transportation vulnerable populations and maximizing participation in response efforts. Algorithms developed as part of this research are integrated into a computational framework to promote a transition from research and development to deployment and use by biological emergency planners.

A random search optimization method based off an analogous process for the slow cooling of metals is explored and used to find the optimum solution for a number of regression models that analyze nuclear, radiological, biological,and chemical terrorism targets. A non-parametric simulation based off of historical data is also explored. Simulated series of 30 years and a 30 year extrapolation of historical data are provided. The inclusion of independent variables used in the regression analysis is based off existing work in the reviewed literature. CBRN terrorism data is collected from both the Monterey Institute's Weapons of Mass Destruction Terrorism Database as well as from the START Global Terrorism Database. Building similar models to those found in the literature and running them against CBRN terrorism incidence data determines if conventional terrorism indicator variables are also significant predictors of CBRN terrorism targets. The negative binomial model was determined to be the best regression model available for the data analysis. Two general types of models are developed, including an economic development model and a political risk model. From the economic development model we find that national GDP, GDP per capita, trade openness, and democracy to significant indicators of CBRN terrorism targets. Additionally from the political risk model we find corrupt, stable, and democratic regimes more likely to experience a CBRN event. We do not find language/religious fractionalization to be a significant predictive variable. Similarly we do not find ethnic tensions, involvement in external conflict, or a military government to have significant predictive value.

Using questionnaire enquiry, this diploma thesis tries to find out the level of knowledge of single members of basic rescue bodies involved in the Integrated Rescue System of the Czech Republic in the area of nerve agents and subsequently compare this knowledge of single basic bodies. Another aim, which is based on literature examination and information available, is to suggest an appropriate procedure for Integrated Rescue System action in case of misuse of nerve agents by terrorists. The suggested procedure of activities of bodies involved in the Integrated Rescue System could serve as an example for establishing a model plan of activities of bodies involved the Integrated Rescue System in case of events with suspicion of terrorist attack performed by nerve agents or other highly toxic chemical agents. A comprehensive overview on nerve agents could be used for deepening and broadening of knowledge of single Integrated Rescue System bodies. Although such a terrorist attack has not happened in the Czech Republic yet, it cannot be excluded that it will occur in the future. Hence it is very important so that the Integrated Rescue System is perfectly equipped both materially and technically, and single Integrated Rescue System bodies are trained and educated systematically. It is better to be theoretically and practically well prepared, and never to use this knowledge and skills than to improvise and rely on decision carried out only on the place of disaster.