Syndromic surveillance using veterinary laboratory data: data pre-processing and algorithm performance evaluation

scientific article

Syndromic surveillance using veterinary laboratory data: data pre-processing and algorithm performance evaluation is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1098/RSIF.2013.0114
P932PMC publication ID3645420
P698PubMed publication ID23576782
P5875ResearchGate publication ID236193347

P50authorCrawford W. RevieQ40954092
Fernanda C. DóreaQ55475730
P2093author name stringBeverly J McEwen
Javier Sanchez
W Bruce McNab
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Exploratory analysis of methods for automated classification of laboratory test orders into syndromic groups in veterinary medicineQ34625529
Using temporal context to improve biosurveillanceQ34762708
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Stochastic model of the potential spread of highly pathogenic avian influenza from an infected commercial broiler operation in Georgia.Q43317655
Landscape fragmentation and foot-and-mouth disease transmissionQ43804761
Measuring outbreak-detection performance by using controlled feature set simulations.Q44610647
Space-time interaction as an indicator of local spread during the 2001 FMD outbreak in the UK.Q44616514
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An evaluation model for syndromic surveillance: assessing the performance of a temporal algorithm.Q45996498
Evaluation and extension of the cusum technique with an application to Salmonella surveillanceQ46349232
P433issue83
P304page(s)20130114
P577publication date2013-04-10
P1433published inJournal of the Royal Society InterfaceQ2492390
P1476titleSyndromic surveillance using veterinary laboratory data: data pre-processing and algorithm performance evaluation
P478volume10

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cites work (P2860)
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