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Syndromic Surveillance Data Sources and Collection Strategies

In this and the ensuing two chapters, we will focus on three key technical aspects of modern syndromic surveillance systems: data sources and collection strategies; data analysis and outbreak detection; and data visualization, information dissemination, and reporting. This chapter discusses syndromi...

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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/PMC7498891/
http://dx.doi.org/10.1007/978-1-4419-1278-7_3
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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 In this and the ensuing two chapters, we will focus on three key technical aspects of modern syndromic surveillance systems: data sources and collection strategies; data analysis and outbreak detection; and data visualization, information dissemination, and reporting. This chapter discusses syndromic data collection strategies and related data sources. Data collection is a critical early step when developing a syndromic surveillance system. It involves the selection of data sources, choices over vocabulary to be used, data entry approaches, and data transmission strategies and protocols. We will go through the related technical issues in the following sections. Towards the end of this chapter, we briefly summarize additional policy-related considerations that may impact data collection.
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spelling pubmed-74988912020-09-18 Syndromic Surveillance Data Sources and Collection Strategies Chen, Hsinchun Zeng, Daniel Yan, Ping Infectious Disease Informatics Article In this and the ensuing two chapters, we will focus on three key technical aspects of modern syndromic surveillance systems: data sources and collection strategies; data analysis and outbreak detection; and data visualization, information dissemination, and reporting. This chapter discusses syndromic data collection strategies and related data sources. Data collection is a critical early step when developing a syndromic surveillance system. It involves the selection of data sources, choices over vocabulary to be used, data entry approaches, and data transmission strategies and protocols. We will go through the related technical issues in the following sections. Towards the end of this chapter, we briefly summarize additional policy-related considerations that may impact data collection. 2009-07-14 /pmc/articles/PMC7498891/ http://dx.doi.org/10.1007/978-1-4419-1278-7_3 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
Syndromic Surveillance Data Sources and Collection Strategies
title Syndromic Surveillance Data Sources and Collection Strategies
title_full Syndromic Surveillance Data Sources and Collection Strategies
title_fullStr Syndromic Surveillance Data Sources and Collection Strategies
title_full_unstemmed Syndromic Surveillance Data Sources and Collection Strategies
title_short Syndromic Surveillance Data Sources and Collection Strategies
title_sort syndromic surveillance data sources and collection strategies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7498891/
http://dx.doi.org/10.1007/978-1-4419-1278-7_3
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