About: Evaluating Detection of an Inhalational Anthrax Outbreak

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Evaluating Detection of an Inhalational Anthrax Outbreak
Creator	Frank, John Switzer, Paul Buckeridge, David Research, Clinical, Mcgill Musen, Mark Owens, Douglas
Source	Medline; PMC
abstract	Timely detection of an inhalational anthrax outbreak is critical for clinical and public health management. Syndromic surveillance has received considerable investment, but little is known about how it will perform relative to routine clinical case finding for detection of an inhalational anthrax outbreak. We conducted a simulation study to compare clinical case finding with syndromic surveillance for detection of an outbreak of inhalational anthrax. After simulated release of 1 kg of anthrax spores, the proportion of outbreaks detected first by syndromic surveillance was 0.59 at a specificity of 0.9 and 0.28 at a specificity of 0.975. The mean detection benefit of syndromic surveillance was 1.0 day at a specificity of 0.9 and 0.32 days at a specificity of 0.975. When syndromic surveillance was sufficiently sensitive to detect a substantial proportion of outbreaks before clinical case finding, it generated frequent false alarms.
has issue date	2006-12-01(xsd:dateTime)
bibo:doi	10.3201/eid1212.060331
bibo:pmid	17326949
has license	no-cc
sha1sum (hex)	c776741a382b4b6a00d9deb5f97bc2fb113bef74
schema:url	https://doi.org/10.3201/eid1212.060331
resource representing a document's title	Evaluating Detection of an Inhalational Anthrax Outbreak
has PubMed Central identifier	PMC3291344
has PubMed identifier	17326949
schema:publication	Emerg Infect Dis
resource representing a document's body	covid:c776741a382b4b6a00d9deb5f97bc2fb113bef74#body_text
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