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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2009
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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 |
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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 |