About: Real time detection of farm-level swine mycobacteriosis outbreak using time series modeling of the number of condemned intestines in abattoirs

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About: Real time detection of farm-level swine mycobacteriosis outbreak using time series modeling of the number of condemned intestines in abattoirs Goto Sponge NotDistinct Permalink

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	Real time detection of farm-level swine mycobacteriosis outbreak using time series modeling of the number of condemned intestines in abattoirs
Creator	Adachi, Yasumoto Makita, Kohei
topic	covid:ca2fa034524ce26d06b3674b3c494635d7d5f13b#this
Source	Medline; PMC
abstract	Mycobacteriosis in swine is a common zoonosis found in abattoirs during meat inspections, and the veterinary authority is expected to inform the producer for corrective actions when an outbreak is detected. The expected value of the number of condemned carcasses due to mycobacteriosis therefore would be a useful threshold to detect an outbreak, and the present study aims to develop such an expected value through time series modeling. The model was developed using eight years of inspection data (2003 to 2010) obtained at 2 abattoirs of the Higashi-Mokoto Meat Inspection Center, Japan. The resulting model was validated by comparing the predicted time-dependent values for the subsequent 2 years with the actual data for 2 years between 2011 and 2012. For the modeling, at first, periodicities were checked using Fast Fourier Transformation, and the ensemble average profiles for weekly periodicities were calculated. An Auto-Regressive Integrated Moving Average (ARIMA) model was fitted to the residual of the ensemble average on the basis of minimum Akaike’s information criterion (AIC). The sum of the ARIMA model and the weekly ensemble average was regarded as the time-dependent expected value. During 2011 and 2012, the number of whole or partial condemned carcasses exceeded the 95% confidence interval of the predicted values 20 times. All of these events were associated with the slaughtering of pigs from three producers with the highest rate of condemnation due to mycobacteriosis.
has issue date	2015-04-24(xsd:dateTime)
bibo:doi	10.1292/jvms.14-0675
bibo:pmid	25913899
has license	cc-by-nc-nd
sha1sum (hex)	ca2fa034524ce26d06b3674b3c494635d7d5f13b
schema:url	https://doi.org/10.1292/jvms.14-0675
resource representing a document's title	Real time detection of farm-level swine mycobacteriosis outbreak using time series modeling of the number of condemned intestines in abattoirs
has PubMed Central identifier	PMC4591155
has PubMed identifier	25913899
schema:publication	J Vet Med Sci
resource representing a document's body	covid:ca2fa034524ce26d06b3674b3c494635d7d5f13b#body_text
is http://vocab.deri.ie/void#inDataset of	proxy:http/ns.inria.fr/covid19/ca2fa034524ce26d06b3674b3c494635d7d5f13b
is schema:about of	named entity 'FARM' named entity 'CORRECTIVE' named entity 'INFORMATION' named entity 'A COMMON' named entity 'TO INFORM' named entity 'STUDY' named entity 'EVENTS' named entity 'PRESENT' named entity 'RESIDUAL' named entity 'PARTIAL' named entity 'THESE' named entity 'ACTUAL' named entity 'DETECTED' named entity 'DATA' named entity 'CRITERION' named entity '2011' named entity 'JAPAN' named entity 'OUTBREAK' named entity 'HIGHEST' named entity 'MOVING AVERAGE' named entity 'ZOONOSIS' named entity 'PREDICTED' named entity 'ABATTOIRS' named entity 'COMPARING' named entity 'ACTIONS' named entity 'MINIMUM' named entity 'times' named entity 'authority' named entity 'number' named entity 'LEVEL' named entity 'DETECTION' named entity 'MODELING' named entity 'ENSEMBLE' named entity 'WEEKLY' named entity 'MODEL' named entity 'INTEGRATED' named entity 'MYCOBACTERIOSIS' covid:arg/ca2fa034524ce26d06b3674b3c494635d7d5f13b named entity 'TIME SERIES' named entity 'PIGS' named entity 'MEAT' named entity 'SUBSEQUENT' named entity 'TIMES' named entity 'CONFIDENCE INTERVAL' named entity 'AUTO' named entity 'YEARS' named entity 'ARIMA' named entity 'SUM' named entity 'ABATTOIRS' named entity 'OUTBREAK' named entity 'INTESTINES' named entity 'USING' named entity 'REAL TIME' named entity 'NUMBER OF' named entity 'PRODUCERS' named entity 'THRESHOLD' named entity 'EXPECTED' named entity 'REGRESSIVE' named entity 'CALCULATED' named entity 'DUE TO' named entity 'RATE' named entity 'FITTED' named entity 'AUTHORITY' named entity 'INSPECTION' named entity 'VALIDATED' named entity 'OBTAINED' named entity 'BASIS' named entity 'NUMBER OF' named entity 'CHECKED' named entity 'IS A' named entity 'USEFUL' named entity 'AIMS' named entity 'MYCOBACTERIOSIS' named entity '27S' named entity 'MODELING' named entity 'DEPENDENT' named entity 'FOURIER TRANSFORMATION' named entity 'EXPECTED VALUE'

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