Paper
24 June 2002 LEADERS: Lightweight Epidemiology Advanced Detection and Emergency Response System
Author Affiliations +
Abstract
Technological advancements in molecular biology now offer a wide-range of applications for bio-warfare defense, medical surveillance, agricultural surveillance and pure research. Idaho Technology has designed and produced the world's fastest DNA-based identifiers. The R.A.P.I.D. TM (Ruggedized Advanced Pathogen Identification Device) provides several options for using sensitive and specific molecular biology-based technology One of the key features of the RAPID is a software package called Detector*. Detector* allows Minimally Trained Care Providers (MTCP) to operate the instrument by automating the steps of running PCR and automatically analyzing the sample data. Pathogen identification is carried out automatically using positive and negative controls to protect against false positive and false negative results. As part of the LEADER system, the Remote RAPID Viewer (RRV) component allows for real-time remote monitoring of PCR reactions run on the RAPID, thus giving the Subject Matter Expert (SME) the ability to request specific tests when triggered by the auto-analysis system. In addition the RRV component facilitates in result verification of tests run by MTCP, assists in tracking outbreaks, and helps coordinate large scale real-time crisis management. The system will allow access to epidemiological data from thin client (i.e. web browser), thus allowing the SME to connect from anywhere with an internet connection. In addition the LEADER system will automatically contact and alert SME when threshold criteria are met, helping reduce the time to first response.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Todd A. Ritter "LEADERS: Lightweight Epidemiology Advanced Detection and Emergency Response System", Proc. SPIE 4722, Chemical and Biological Sensing III, (24 June 2002); https://doi.org/10.1117/12.472254
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CITATIONS
Cited by 14 scholarly publications.
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KEYWORDS
Surveillance

Visualization

Pathogens

Data storage

Optical tracking

Databases

Visual analytics

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