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A Bayesian Outbreak Detection Method for Influenza-Like Illness.

Identifieur interne : 000194 ( Main/Exploration ); précédent : 000193; suivant : 000195

A Bayesian Outbreak Detection Method for Influenza-Like Illness.

Auteurs : Yury E. García [Mexique] ; J Andrés Christen [Mexique] ; Marcos A. Capistrán [Mexique]

Source :

RBID : pubmed:26425552

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English descriptors

Abstract

Epidemic outbreak detection is an important problem in public health and the development of reliable methods for outbreak detection remains an active research area. In this paper we introduce a Bayesian method to detect outbreaks of influenza-like illness from surveillance data. The rationale is that, during the early phase of the outbreak, surveillance data changes from autoregressive dynamics to a regime of exponential growth. Our method uses Bayesian model selection and Bayesian regression to identify the breakpoint. No free parameters need to be tuned. However, historical information regarding influenza-like illnesses needs to be incorporated into the model. In order to show and discuss the performance of our method we analyze synthetic, seasonal, and pandemic outbreak data.

DOI: 10.1155/2015/751738
PubMed: 26425552
PubMed Central: PMC4575748


Affiliations:


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<ArticleIdList>
<ArticleId IdType="pubmed">17937786</ArticleId>
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<ArticleIdList>
<ArticleId IdType="pubmed">18618414</ArticleId>
</ArticleIdList>
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<Citation>Clin Infect Dis. 2012 May;54(10):1427-36</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">22495079</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Lancet Respir Med. 2014 Jun;2(6):445-54</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">24717637</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>J R Soc Interface. 2007 Feb 22;4(12):155-66</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">17254982</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Pediatr Infect Dis J. 2005 Dec;24(12):1049-52</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">16371864</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>BMC Public Health. 2006;6:263</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">17059615</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>J Infect Dis. 2006 Nov 1;194 Suppl 2:S82-91</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">17163394</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Natl Vital Stat Rep. 2013 May 8;61(4):1-117</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">24979972</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Proc Natl Acad Sci U S A. 2007 May 1;104(18):7588-93</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">17416677</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Vaccine. 1999 Jul 30;17 Suppl 1:S3-10</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">10471173</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Emerg Infect Dis. 2006 Jan;12(1):15-22</Citation>
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