About: Building a picture: Prioritisation of exotic diseases for the pig industry in Australia using multi-criteria decision analysis

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About: Building a picture: Prioritisation of exotic diseases for the pig industry in Australia using multi-criteria decision analysis Goto Sponge NotDistinct Permalink

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Building a picture: Prioritisation of exotic diseases for the pig industry in Australia using multi-criteria decision analysis
Creator	Ward, M Brookes, V Cowled, B Hernández-Jover, M Holyoake, P
Source	Elsevier; Medline; PMC
abstract	Abstract Diseases that are exotic to the pig industry in Australia were prioritised using a multi-criteria decision analysis framework that incorporated weights of importance for a range of criteria important to industry stakeholders. Measurements were collected for each disease for nine criteria that described potential disease impacts. A total score was calculated for each disease using a weighted sum value function that aggregated the nine disease criterion measurements and weights of importance for the criteria that were previously elicited from two groups of industry stakeholders. One stakeholder group placed most value on the impacts of disease on livestock, and one group placed more value on the zoonotic impacts of diseases. Prioritisation lists ordered by disease score were produced for both of these groups. Vesicular diseases were found to have the highest priority for the group valuing disease impacts on livestock, followed by acute forms of African and classical swine fever, then highly pathogenic porcine reproductive and respiratory syndrome. The group who valued zoonotic disease impacts prioritised rabies, followed by Japanese encephalitis, Eastern equine encephalitis and Nipah virus, interspersed with vesicular diseases. The multi-criteria framework used in this study systematically prioritised diseases using a multi-attribute theory based technique that provided transparency and repeatability in the process. Flexibility of the framework was demonstrated by aggregating the criterion weights from more than one stakeholder group with the disease measurements for the criteria. This technique allowed industry stakeholders to be active in resource allocation for their industry without the need to be disease experts. We believe it is the first prioritisation of livestock diseases using values provided by industry stakeholders. The prioritisation lists will be used by industry stakeholders to identify diseases for further risk analysis and disease spread modelling to understand biosecurity risks to this industry.
has issue date	2014-01-01(xsd:dateTime)
bibo:doi	10.1016/j.prevetmed.2013.10.014
bibo:pmid	24211032
has license	els-covid
sha1sum (hex)	c84bbd205a537e12c9bcdaa241ea9ef297aa7b60
schema:url	https://doi.org/10.1016/j.prevetmed.2013.10.014
resource representing a document's title	Building a picture: Prioritisation of exotic diseases for the pig industry in Australia using multi-criteria decision analysis
has PubMed Central identifier	PMC7114181
has PubMed identifier	24211032
schema:publication	Preventive Veterinary Medicine
resource representing a document's body	covid:c84bbd205a537e12c9bcdaa241ea9ef297aa7b60#body_text
is schema:about of	named entity 'PICTURE' named entity 'UNDERSTAND' named entity 'JAPANESE ENCEPHALITIS' named entity 'AFRICAN' named entity 'AGGREGATING' named entity 'ATTRIBUTE' named entity 'ORDERED' named entity 'MODELLING' named entity 'TRANSPARENCY' named entity 'WEIGHTS' named entity 'EASTERN EQUINE ENCEPHALITIS ' named entity 'DISEASE SPREAD' named entity 'RISK ANALYSIS' named entity 'STUDY' named entity 'DEMONSTRATED' named entity 'ALLOWED' named entity 'THEORY' named entity 'SUM VALUE' named entity 'PRIORITY' named entity 'PATHOGENIC' named entity 'STAKEHOLDER' named entity 'RANGE' named entity 'HIGHLY' named entity 'TOTAL SCORE' named entity 'TECHNIQUE' named entity 'ZOONOTIC DISEASE' named entity 'FLEXIBILITY' named entity 'RESOURCE ALLOCATION' named entity 'LIVESTOCK' named entity 'PORCINE REPRODUCTIVE AND RESPIRATORY SYNDROME' named entity 'NEED' named entity 'FORMS' named entity 'RISKS' named entity 'GROUPS' named entity 'VALUES' named entity 'CRITERIA' named entity 'SCORE' named entity 'CLASSICAL SWINE FEVER' named entity 'ZOONOTIC' named entity 'THESE' named entity 'BUILDING' named entity 'WEIGHTED' named entity 'MULTI' named entity 'AUSTRALIA' named entity 'INDUSTRY' named entity 'FUNCTION' named entity 'USED BY' named entity 'IMPORTANT' named entity 'ACTIVE' named entity 'DISEASES' named entity 'DESCRIBED' named entity 'THEIR' named entity 'IMPACTS' named entity 'CRITERION' named entity 'USING' named entity 'TO IDENTIFY' named entity 'HAVE' named entity 'EXOTIC' named entity 'HIGHEST' named entity 'PIG' named entity 'EXOTIC' named entity 'INDUSTRY' named entity 'CRITERIA' named entity 'AUSTRALIA' named entity 'DISEASES' named entity 'PIG' named entity 'RABIES' named entity 'POTENTIAL' named entity 'PROCESS' named entity 'COLLECTED' named entity 'DECISION ANALYSIS' named entity 'FOLLOWED BY' named entity 'DISEASE' named entity 'DECISION MAKING' named entity 'BASED' named entity 'VESICULAR' named entity 'PROVIDED'

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