Document Type
Article
Publication Date
2009
DOI
10.2202/1547-7355.1596
Publication Title
Journal of Homeland Security and Emergency Management
Volume
6
Issue
1
Pages
20 pp.
Abstract
The development of effective and reliable methods to defend the nation against biological terrorism remains an urgent challenge to researchers in the areas of risk, bio-defense, public health, and emergency medicine. The emerging threat of the avian flu pandemic also highlights the unpreparedness of our nation's health care system to meet a highly contagious and infectious disease outbreak. The implementation of a rapid sensor technology for early detection of influenza-like-illness provides possible opportunities, as well as problems. Bounding and defining such a complex problem is one of the first challenges this research addresses. Approaching this problem from various perspectives such as risk management, critical infrastructures and emergency medicine proves to be a valid strategy for an efficient solution. After defining the problem and laying out a strategy, discussions on possible tools and techniques for the solution of the problem is presented in this paper, together with the compounding sources of and issues with complexity.
Original Publication Citation
Pinto, C. A., & Bozkurt, I. (2009). Rapid sensor technology: A risk and system complexity analyses of early detection of influenza-like-illnesses. Journal of Homeland Security and Emergency Management, 6(1), 20 pp., Article 86. https://doi.org/10.2202/1547-7355.1596
Repository Citation
Pinto, Cesar Ariel and Bozkurt, Ipek, "Rapid Sensor Technology: A Risk and System Complexity Analyses of Early Detection of Influenza-Like-Illnesses" (2009). Engineering Management & Systems Engineering Faculty Publications. 56.
https://digitalcommons.odu.edu/emse_fac_pubs/56
Included in
Health and Medical Administration Commons, Respiratory Tract Diseases Commons, Systems Engineering Commons
Comments
© 2009 Walter De Gruyter GmbH
Publisher's version available at: https://doi.org/10.2202/1547-7355.1596