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Social Network Analysis for Contact Tracing
Contact tracing is an important control measure in the fight against infectious disease. Healthcare workers deduce potential disease pathways and propose corresponding containment strategies from collecting and reviewing patients’ contact history. Social Network Analysis (SNA) provides healthcare wo...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7121135/ http://dx.doi.org/10.1007/978-1-4419-6892-0_15 |
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author | Chen, Yi-Da Chen, Hsinchun King, Chwan-Chuen |
author_facet | Chen, Yi-Da Chen, Hsinchun King, Chwan-Chuen |
author_sort | Chen, Yi-Da |
collection | PubMed |
description | Contact tracing is an important control measure in the fight against infectious disease. Healthcare workers deduce potential disease pathways and propose corresponding containment strategies from collecting and reviewing patients’ contact history. Social Network Analysis (SNA) provides healthcare workers with a network approach for integrating and analyzing all collected contact records via a simple network graph, called a contact network. Through SNA, they are able to identify prominent individuals in disease pathways as well as study the dynamics of disease transmission. In this chapter, we review the role of SNA in supplementing contact tracing and present a case study of the Taiwan SARS outbreak in 2003 to demonstrate the usefulness of geographical contacts to disease investigation. |
format | Online Article Text |
id | pubmed-7121135 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
record_format | MEDLINE/PubMed |
spelling | pubmed-71211352020-04-06 Social Network Analysis for Contact Tracing Chen, Yi-Da Chen, Hsinchun King, Chwan-Chuen Infectious Disease Informatics and Biosurveillance Article Contact tracing is an important control measure in the fight against infectious disease. Healthcare workers deduce potential disease pathways and propose corresponding containment strategies from collecting and reviewing patients’ contact history. Social Network Analysis (SNA) provides healthcare workers with a network approach for integrating and analyzing all collected contact records via a simple network graph, called a contact network. Through SNA, they are able to identify prominent individuals in disease pathways as well as study the dynamics of disease transmission. In this chapter, we review the role of SNA in supplementing contact tracing and present a case study of the Taiwan SARS outbreak in 2003 to demonstrate the usefulness of geographical contacts to disease investigation. 2010-07-27 /pmc/articles/PMC7121135/ http://dx.doi.org/10.1007/978-1-4419-6892-0_15 Text en © Springer Science+Business Media, LLC 2011 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, Yi-Da Chen, Hsinchun King, Chwan-Chuen Social Network Analysis for Contact Tracing |
title | Social Network Analysis for Contact Tracing |
title_full | Social Network Analysis for Contact Tracing |
title_fullStr | Social Network Analysis for Contact Tracing |
title_full_unstemmed | Social Network Analysis for Contact Tracing |
title_short | Social Network Analysis for Contact Tracing |
title_sort | social network analysis for contact tracing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7121135/ http://dx.doi.org/10.1007/978-1-4419-6892-0_15 |
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