Cargando…

Argus

Project Argus creates and implements a biological event detection and tracking capability that provides early warning alerts on a global scale. Argus currently manages between 2,200 and 3,300 active, socially disruptive biological event case files with update report threading for approximately 175 c...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Hsinchun, Zeng, Daniel, Yan, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7498883/
http://dx.doi.org/10.1007/978-1-4419-1278-7_13
_version_ 1783583607833493504
author Chen, Hsinchun
Zeng, Daniel
Yan, Ping
author_facet Chen, Hsinchun
Zeng, Daniel
Yan, Ping
author_sort Chen, Hsinchun
collection PubMed
description Project Argus creates and implements a biological event detection and tracking capability that provides early warning alerts on a global scale. Argus currently manages between 2,200 and 3,300 active, socially disruptive biological event case files with update report threading for approximately 175 countries and over 130 disease entities. It posits a sophisticated scaling of outbreak severity based not only on disease metrics but also on sociological and governmental reactions in the face of mild to severe epidemics (Chute, 2008). The system relies on Internet technologies as “harvesting engines” to capture information relevant to the definitional criteria for biological-outbreak severity metrics. Official disease reports from WHO or unofficial international health status reports from ProMED are collected as indicators of possible biological events. The association of media activities and the biological events are shown in Figure 13-1. Figure 13-2 depicts the Argus system's biological event detection and tracking process.
format Online
Article
Text
id pubmed-7498883
institution National Center for Biotechnology Information
language English
publishDate 2009
record_format MEDLINE/PubMed
spelling pubmed-74988832020-09-18 Argus Chen, Hsinchun Zeng, Daniel Yan, Ping Infectious Disease Informatics Article Project Argus creates and implements a biological event detection and tracking capability that provides early warning alerts on a global scale. Argus currently manages between 2,200 and 3,300 active, socially disruptive biological event case files with update report threading for approximately 175 countries and over 130 disease entities. It posits a sophisticated scaling of outbreak severity based not only on disease metrics but also on sociological and governmental reactions in the face of mild to severe epidemics (Chute, 2008). The system relies on Internet technologies as “harvesting engines” to capture information relevant to the definitional criteria for biological-outbreak severity metrics. Official disease reports from WHO or unofficial international health status reports from ProMED are collected as indicators of possible biological events. The association of media activities and the biological events are shown in Figure 13-1. Figure 13-2 depicts the Argus system's biological event detection and tracking process. 2009-07-14 /pmc/articles/PMC7498883/ http://dx.doi.org/10.1007/978-1-4419-1278-7_13 Text en © Springer Science+Business Media, LLC 2010 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Chen, Hsinchun
Zeng, Daniel
Yan, Ping
Argus
title Argus
title_full Argus
title_fullStr Argus
title_full_unstemmed Argus
title_short Argus
title_sort argus
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7498883/
http://dx.doi.org/10.1007/978-1-4419-1278-7_13
work_keys_str_mv AT chenhsinchun argus
AT zengdaniel argus
AT yanping argus