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System Assessment and Evaluation

Knowing how systems perform under various scenarios is important. We need to examine with which level of sensitivity and how quickly they can detect an outbreak or recognize a bioterrorism attack. Knowing the error rate of a system can help make decisions regarding how much effort is needed to inves...

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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/PMC7498875/
http://dx.doi.org/10.1007/978-1-4419-1278-7_6
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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 Knowing how systems perform under various scenarios is important. We need to examine with which level of sensitivity and how quickly they can detect an outbreak or recognize a bioterrorism attack. Knowing the error rate of a system can help make decisions regarding how much effort is needed to investigate an alarm. The performance of the algorithms for outbreak characterization determines the amount of information they provide (e.g., sets of affected individuals, the outbreak size, and disease spreading rate), which provide important input for response planning. Substantial costs can be incurred when developing or managing syndromic surveillance systems and investigating possible outbreaks based on the outputs of these systems (Reingold, 2003). For example, as reported in (Doroshenko et al., 2005), the annual cost of the NHS Direct Syndromic Surveillance System is about $280,000 and the usefulness of surveillance systems for early detection and response is yet to be established. Assessing the performance of surveillance systems is of significant importance for improving the efficacy of the investment in system development and management (Buehler et al., 2004).
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spelling pubmed-74988752020-09-18 System Assessment and Evaluation Chen, Hsinchun Zeng, Daniel Yan, Ping Infectious Disease Informatics Article Knowing how systems perform under various scenarios is important. We need to examine with which level of sensitivity and how quickly they can detect an outbreak or recognize a bioterrorism attack. Knowing the error rate of a system can help make decisions regarding how much effort is needed to investigate an alarm. The performance of the algorithms for outbreak characterization determines the amount of information they provide (e.g., sets of affected individuals, the outbreak size, and disease spreading rate), which provide important input for response planning. Substantial costs can be incurred when developing or managing syndromic surveillance systems and investigating possible outbreaks based on the outputs of these systems (Reingold, 2003). For example, as reported in (Doroshenko et al., 2005), the annual cost of the NHS Direct Syndromic Surveillance System is about $280,000 and the usefulness of surveillance systems for early detection and response is yet to be established. Assessing the performance of surveillance systems is of significant importance for improving the efficacy of the investment in system development and management (Buehler et al., 2004). 2009-07-14 /pmc/articles/PMC7498875/ http://dx.doi.org/10.1007/978-1-4419-1278-7_6 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
System Assessment and Evaluation
title System Assessment and Evaluation
title_full System Assessment and Evaluation
title_fullStr System Assessment and Evaluation
title_full_unstemmed System Assessment and Evaluation
title_short System Assessment and Evaluation
title_sort system assessment and evaluation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7498875/
http://dx.doi.org/10.1007/978-1-4419-1278-7_6
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