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Milica Stojmenovic, Cathy Dudek, Patrick Noonan, Bruce Tsuji, Devjani Sen, & Gitte Lindgaard. (2011). Identifying user requirements for a CBRNE management system: A comparison of data analysis methods. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: The purpose of this paper was to identify an effective user-requirements data analysis method for informing the design of a Chemical, Biological, Radiological, Nuclear, and Explosive (CBRNE) management decision support system. Data were collected from a large simulation involving medical, police, hazmat/firefighters and subjected to three different kinds of analysis methods: Social Network Analysis, Content Analysis, and Observational Analysis. While all three methods yielded valuable information, the observational method was by far the best for the present purpose.
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Thomas J. Terry Jr. (2006). Electronic disease reporting & management. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 569–578). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: The New Jersey Institute of Technology (NJIT) developed an Electronic Disease Reporting & Management System (EDRMS) that has the capability for the rapid collection, analysis, and dissemination of suspected outbreaks including Chemical and Bio-Terrorism events. Prior to EDRMS, agencies relied on dis-jointed phone and fax reporting and rudimentary methods for data collection, dissemination, follow-up, and remuneration. The objective of this system is to allow collaborative recognition across all the hospitals and public health offices in the state of New Jersey to detect as soon as possible an epidemic occurring of a known or unknown type.
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