000088221 001__ 88221
000088221 005__ 20210507081947.0
000088221 0247_ $$2doi$$a10.1016/j.mran.2019.02.003
000088221 0248_ $$2sideral$$a111309
000088221 037__ $$aART-2019-111309
000088221 041__ $$aeng
000088221 100__ $$aHorigan, V.
000088221 245__ $$aMaximising data to optimise animal disease early warning systems and risk assessment tools within Europe
000088221 260__ $$c2019
000088221 5060_ $$aAccess copy available to the general public$$fUnrestricted
000088221 5203_ $$aTimely and reliable data and information availability and sharing is essential for early warning, prevention and control of transboundary diseases. While there are a growing number of global datasets capable of providing information for use in early warning systems and risk assessment (RA) tools, there are currently time-consuming data cleansing and harmonisation activities which need to be carried out before they can be reliably used and combined. Thus, using global datasets as they stand can lead to errors in RA parameterisation and results due to inherent biases in the data, e.g. missing disease prevalence data treated as a zero may inadvertently penalise those countries which do report disease outbreaks as opposed to those countries which are affected by a pathogen but do not report outbreak data. It is therefore of great importance that data are clearly provided and easy to understand and that data providers strive for greater harmonisation of database standards. In this paper the datasets utilised in the SPARE (’Spatial risk assessment framework for assessing exotic disease incursion and spread through Europe’) project are described and discussed in terms of key criteria: accessibility, availability, completeness, consistency and quality. It is evident that most databases exist as information portals and not exclusively for RA purposes. Another striking issue from this assessment is the need for enhanced data sharing specifically with regards to data on illegal seizures, arthropod vector/wildlife abundance, intra-country livestock movement and national animal disease surveillance. It is hoped that the outcomes of this work will promote discussion and exchange between data providers, including the development of standardised data exchange protocols. The transformation of datasets to a common format is a considerable challenge but recommendations could and should be made on the standardisation of datasets and reporting in order to achieve a unified approach across Europe.
000088221 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000088221 590__ $$a2.182$$b2019
000088221 591__ $$aFOOD SCIENCE & TECHNOLOGY$$b66 / 139 = 0.475$$c2019$$dQ2$$eT2
000088221 591__ $$aMICROBIOLOGY$$b90 / 134 = 0.672$$c2019$$dQ3$$eT3
000088221 591__ $$aENVIRONMENTAL SCIENCES$$b146 / 265 = 0.551$$c2019$$dQ3$$eT2
000088221 592__ $$a0.599$$b2019
000088221 593__ $$aEpidemiology$$c2019$$dQ3
000088221 593__ $$aMicrobiology (medical)$$c2019$$dQ3
000088221 593__ $$aInfectious Diseases$$c2019$$dQ3
000088221 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000088221 700__ $$ade Nardi, M.
000088221 700__ $$aCrescio, M.I.
000088221 700__ $$0(orcid)0000-0001-7483-046X$$aEstrada-Peña, A.$$uUniversidad de Zaragoza
000088221 700__ $$aAdkin, A.
000088221 700__ $$aMaurella, C.
000088221 700__ $$aBertolini, S.
000088221 700__ $$aLéger, A.
000088221 700__ $$aRu, G.
000088221 700__ $$aCook, C.
000088221 700__ $$aStark, K.
000088221 700__ $$aSimons, R.R.L.
000088221 7102_ $$11009$$2773$$aUniversidad de Zaragoza$$bDpto. Patología Animal$$cÁrea Sanidad Animal
000088221 773__ $$g13 (2019), 100072 [11 pp]$$pMicrob. Risk Anal.$$tMicrobial Risk Analysis$$x2352-3522
000088221 8564_ $$s418187$$uhttps://zaguan.unizar.es/record/88221/files/texto_completo.pdf$$yPostprint
000088221 8564_ $$s50864$$uhttps://zaguan.unizar.es/record/88221/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000088221 909CO $$ooai:zaguan.unizar.es:88221$$particulos$$pdriver
000088221 951__ $$a2021-05-07-08:11:00
000088221 980__ $$aARTICLE