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Evaluation and Verification of the Global Rapid Identification of Threats System for Infectious Diseases in Textual Data Sources
The Global Rapid Identification of Threats System (GRITS) is a biosurveillance application that enables infectious disease analysts to monitor nontraditional information sources (e.g., social media, online news outlets, ProMED-mail reports, and blogs) for infectious disease threats. GRITS analyzes t...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5028852/ https://www.ncbi.nlm.nih.gov/pubmed/27698665 http://dx.doi.org/10.1155/2016/5080746 |
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author | Huff, Andrew G. Breit, Nathan Allen, Toph Whiting, Karissa Kiley, Christopher |
author_facet | Huff, Andrew G. Breit, Nathan Allen, Toph Whiting, Karissa Kiley, Christopher |
author_sort | Huff, Andrew G. |
collection | PubMed |
description | The Global Rapid Identification of Threats System (GRITS) is a biosurveillance application that enables infectious disease analysts to monitor nontraditional information sources (e.g., social media, online news outlets, ProMED-mail reports, and blogs) for infectious disease threats. GRITS analyzes these textual data sources by identifying, extracting, and succinctly visualizing epidemiologic information and suggests potentially associated infectious diseases. This manuscript evaluates and verifies the diagnoses that GRITS performs and discusses novel aspects of the software package. Via GRITS' web interface, infectious disease analysts can examine dynamic visualizations of GRITS' analyses and explore historical infectious disease emergence events. The GRITS API can be used to continuously analyze information feeds, and the API enables GRITS technology to be easily incorporated into other biosurveillance systems. GRITS is a flexible tool that can be modified to conduct sophisticated medical report triaging, expanded to include customized alert systems, and tailored to address other biosurveillance needs. |
format | Online Article Text |
id | pubmed-5028852 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-50288522016-10-03 Evaluation and Verification of the Global Rapid Identification of Threats System for Infectious Diseases in Textual Data Sources Huff, Andrew G. Breit, Nathan Allen, Toph Whiting, Karissa Kiley, Christopher Interdiscip Perspect Infect Dis Research Article The Global Rapid Identification of Threats System (GRITS) is a biosurveillance application that enables infectious disease analysts to monitor nontraditional information sources (e.g., social media, online news outlets, ProMED-mail reports, and blogs) for infectious disease threats. GRITS analyzes these textual data sources by identifying, extracting, and succinctly visualizing epidemiologic information and suggests potentially associated infectious diseases. This manuscript evaluates and verifies the diagnoses that GRITS performs and discusses novel aspects of the software package. Via GRITS' web interface, infectious disease analysts can examine dynamic visualizations of GRITS' analyses and explore historical infectious disease emergence events. The GRITS API can be used to continuously analyze information feeds, and the API enables GRITS technology to be easily incorporated into other biosurveillance systems. GRITS is a flexible tool that can be modified to conduct sophisticated medical report triaging, expanded to include customized alert systems, and tailored to address other biosurveillance needs. Hindawi Publishing Corporation 2016 2016-09-06 /pmc/articles/PMC5028852/ /pubmed/27698665 http://dx.doi.org/10.1155/2016/5080746 Text en Copyright © 2016 Andrew G. Huff et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Huff, Andrew G. Breit, Nathan Allen, Toph Whiting, Karissa Kiley, Christopher Evaluation and Verification of the Global Rapid Identification of Threats System for Infectious Diseases in Textual Data Sources |
title | Evaluation and Verification of the Global Rapid Identification of Threats System for Infectious Diseases in Textual Data Sources |
title_full | Evaluation and Verification of the Global Rapid Identification of Threats System for Infectious Diseases in Textual Data Sources |
title_fullStr | Evaluation and Verification of the Global Rapid Identification of Threats System for Infectious Diseases in Textual Data Sources |
title_full_unstemmed | Evaluation and Verification of the Global Rapid Identification of Threats System for Infectious Diseases in Textual Data Sources |
title_short | Evaluation and Verification of the Global Rapid Identification of Threats System for Infectious Diseases in Textual Data Sources |
title_sort | evaluation and verification of the global rapid identification of threats system for infectious diseases in textual data sources |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5028852/ https://www.ncbi.nlm.nih.gov/pubmed/27698665 http://dx.doi.org/10.1155/2016/5080746 |
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