Infectious Disease Informatics and Syndromic Surveillance

Infectious disease informatics (IDI) is an emerging field that studies data collection, sharing, modeling, and management issues in the domain of infectious diseases. This chapter discusses various technical components of IDI research from an information technology perspective. Syndromic surveillanc...

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Detalles Bibliográficos
Autores principales: Zeng, Daniel, Chen, Hsinchun, Yan, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2008
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7121655/
http://dx.doi.org/10.1007/978-0-387-71611-4_26
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author Zeng, Daniel
Chen, Hsinchun
Yan, Ping
author_facet Zeng, Daniel
Chen, Hsinchun
Yan, Ping
author_sort Zeng, Daniel
collection PubMed
description Infectious disease informatics (IDI) is an emerging field that studies data collection, sharing, modeling, and management issues in the domain of infectious diseases. This chapter discusses various technical components of IDI research from an information technology perspective. Syndromic surveillance is used to illustrate these components of IDI research, as it is a widely-adopted approach to detecting and responding to public health and bioterrorism events. Two case studies involving real-world applications and research prototypes are presented to illustrate the application context and relevant system design and data modeling issues.
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spelling pubmed-71216552020-04-06 Infectious Disease Informatics and Syndromic Surveillance Zeng, Daniel Chen, Hsinchun Yan, Ping Digital Government Article Infectious disease informatics (IDI) is an emerging field that studies data collection, sharing, modeling, and management issues in the domain of infectious diseases. This chapter discusses various technical components of IDI research from an information technology perspective. Syndromic surveillance is used to illustrate these components of IDI research, as it is a widely-adopted approach to detecting and responding to public health and bioterrorism events. Two case studies involving real-world applications and research prototypes are presented to illustrate the application context and relevant system design and data modeling issues. 2008 /pmc/articles/PMC7121655/ http://dx.doi.org/10.1007/978-0-387-71611-4_26 Text en © Springer Science+Business Media, LLC 2008 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
Zeng, Daniel
Chen, Hsinchun
Yan, Ping
Infectious Disease Informatics and Syndromic Surveillance
title Infectious Disease Informatics and Syndromic Surveillance
title_full Infectious Disease Informatics and Syndromic Surveillance
title_fullStr Infectious Disease Informatics and Syndromic Surveillance
title_full_unstemmed Infectious Disease Informatics and Syndromic Surveillance
title_short Infectious Disease Informatics and Syndromic Surveillance
title_sort infectious disease informatics and syndromic surveillance
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7121655/
http://dx.doi.org/10.1007/978-0-387-71611-4_26
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AT yanping infectiousdiseaseinformaticsandsyndromicsurveillance

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