Edward J. Glantz, Frank E. Ritter, & Tristan Endsley. (2015). Ebola and Yellow Fever Crisis Management Insights. In L. Palen, M. Buscher, T. Comes, & A. Hughes (Eds.), ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management. Kristiansand, Norway: University of Agder (UiA).
Abstract: This paper provides insight into crisis management of infectious disease outbreaks by comparing the current 2014 Ebola outbreak with a well-documented 1793 Yellow Fever outbreak. These reflections on crisis approaches and management from a human factors and cognitive engineering perspective may help encourage the application of historical epidemiology to better prepare for the next global infectious disease outbreak.
|
Björn J.E. Johansson, Jiri Trnka, & Rego Granlund. (2007). The effect of geographical information systems on a collaborative command and control task. In K. Nieuwenhuis P. B. B. Van de Walle (Ed.), Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers (pp. 191–200). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: This paper tests the claimed benefits of using geographical information systems (GIS) in emergency response operations. An experimental study comparing command teams using GIS and paper-based maps is presented. The study utilized a combined approach using microworld simulations together with physical artefacts. Participants in the experiment took the role of command teams, facing the task of extinguishing a simulated forest fire. A total of 132 persons, forming 22 teams, participated in the study. In eleven of the teams, the participants were given access to GIS with positioning of fire-brigades as well as sensor data about the fire outbreak. In the other eleven teams, the participants were using paper-based maps. The result shows that teams using GIS performed significantly better than teams with paper-based maps in terms of saved area. Communication volume was considerably reduced in the case of GIS teams. Implications of these results on GIS are discussed as well as methodological considerations for future research.
|
Jonas Landgren. (2015). Insights from an ethnographic study of a foreign response team during the EBOLA Outbreak in Liberia. In L. Palen, M. Buscher, T. Comes, & A. Hughes (Eds.), ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management. Kristiansand, Norway: University of Agder (UiA).
Abstract: Organizing response operations during large-scale and complex disasters requires an ability to meet and adapt to sudden changes of plans. This paper presents descriptive accounts from an ethnographic field study of the work of a foreign Ebola response team during the Ebola outbreak on location in Liberia. The findings illustrate how response work is subject to frequent and rapid changes that result in unforeseen consequences that could cause frictions and dilemmas. The findings imply tentative implications for design, suggesting a need for improved decision support for re-planning and re-designing of ongoing response operations.
|
Laura Laguna Salvadó, Matthieu Lauras, & Tina Comes. (2015). Humanitarian Value Stream Mapping: Application to the EBOLA Outbreak. In L. Palen, M. Buscher, T. Comes, & A. Hughes (Eds.), ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management. Kristiansand, Norway: University of Agder (UiA).
Abstract: Humanitarian Supply Chain Management serves as bridge between needs and aid provided. Flows of goods and information connect the field to headquarters, distribution to procurement, beneficiaries to donors. The problems of decision-making, information sharing and coordination can be studied with this special logistics focus. We present a Value Stream Mapping approach that provides a structure to analyze and understand the problems arising in practice, such as bottlenecks; waiting times; or misaligned procurement and distribution policies. We demonstrate our lean-management approach by using the ongoing Ebola Outbreak in West Africa as Case Study.
|
Olga Vybornova, Pierre-Alain Fonteyne, & Jean-Luc Gala. (2015). Ontology-Based Knowledge Representation and Information Management in a Biological Light Fieldable Laboratory. In L. Palen, M. Buscher, T. Comes, & A. Hughes (Eds.), ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management. Kristiansand, Norway: University of Agder (UiA).
Abstract: A comprehensive ontology has been developed to model the operational domain knowledge and provide information management for a light fieldable laboratory (LFL) performing molecular microbiological analyses. LFL is considered as a toolbox where all operational functions and tools used to execute these functions are incorporated into a single system. The ontology is used to facilitate the LFL mission preparation and management, to provide technical compatibility of sharable information between tools, and to align the terminology and definitions between tools while complying with standards, best practices and procedures. The LFL domain is a formalised and structured modelling the LFL concepts, procedures, functions, prescribing the necessary functions and delimiting those which are incompatible with the given mission or scenario. Such consistent logical modelling allows to efficiently plan and configure the LFL mission selecting only the necessary functions and tools from the whole collection and to activate them appropriately in due time.
|
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.
|
