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Time-lagged correlation analysis of Shellfish toxicity reveals predictive links to adjacent areas, species, and environmental conditions

2022-09-30Journal article Open access
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dc.contributor.authorPatrício, André
dc.contributor.authorLopes, Marta B.
dc.contributor.authorReis Costa, Pedro
dc.contributor.authorCosta, Rafael S.
dc.contributor.authorHenriques, Rui
dc.contributor.authorVinga, Susana
dc.date.accessioned2022-10-28T09:41:44Z
dc.date.available2022-10-28T09:41:44Z
dc.date.issued2022-09-30
dc.date.updated2022-10-26T11:08:51Z
dc.description.abstractDiarrhetic Shellfish Poisoning (DSP) is an acute intoxication caused by the consumption of contaminated shellfish, which is common in many regions of the world. To safeguard human health, most countries implement programs focused on the surveillance of toxic phytoplankton abundance and shellfish toxicity levels, an effort that can be complemented by a deeper understanding of the underlying phenomena. In this work, we identify patterns of seasonality in shellfish toxicity across the Portuguese coast and analyse time-lagged correlations between this toxicity and various potential risk factors. We extend the understanding of these relations through the introduction of temporal lags, allowing the analysis of time series at different points in time and the study of the predictive power of the tested variables. This study confirms previous findings about toxicity seasonality patterns on the Portuguese coast and provides further quantitative data about the relations between shellfish toxicity and geographical location, shellfish species, toxic phytoplankton abundances, and environmental conditions. Furthermore, multiple pairs of areas and shellfish species are identified as having correlations high enough to allow for a predictive analysis. These results represent the first step towards understanding the dynamics of DSP toxicity in Portuguese shellfish producing areas, such as temporal and spatial variability, and towards the development of a shellfish safety forecasting system.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationToxins 14 (10): 679 (2022)pt_PT
dc.identifier.doi10.3390/toxins14100679pt_PT
dc.identifier.eissn2072-6651
dc.identifier.urihttp://hdl.handle.net/10400.1/18454
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationNot Available
dc.relationNot Available
dc.relationAlgarve Centre for Marine Sciences
dc.relationAlgarve Centre for Marine Sciences
dc.relationCentre for Marine and Environmental Research
dc.relationNOVA Laboratory for Computer Science and Informatics
dc.relationCenter for Mathematics and Applications
dc.relationInstituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectToxicitypt_PT
dc.subjectShellfishpt_PT
dc.subjectDSPpt_PT
dc.subjectPortuguese coastpt_PT
dc.subjectCorrelation analysispt_PT
dc.titleTime-lagged correlation analysis of Shellfish toxicity reveals predictive links to adjacent areas, species, and environmental conditionspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleNot Available
oaire.awardTitleNot Available
oaire.awardTitleAlgarve Centre for Marine Sciences
oaire.awardTitleAlgarve Centre for Marine Sciences
oaire.awardTitleCentre for Marine and Environmental Research
oaire.awardTitleNOVA Laboratory for Computer Science and Informatics
oaire.awardTitleCenter for Mathematics and Applications
oaire.awardTitleInstituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/CEEC INST 2018/CEECINST%2F00102%2F2018%2FCP1567%2FCT0001/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/CEEC IND 2017/CEECIND%2F01399%2F2017%2FCP1462%2FCT0015/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04326%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04326%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0101%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04516%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00297%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50021%2F2020/PT
oaire.citation.issue10pt_PT
oaire.citation.startPage679pt_PT
oaire.citation.titleToxinspt_PT
oaire.citation.volume14pt_PT
oaire.fundingStreamCEEC INST 2018
oaire.fundingStreamCEEC IND 2017
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
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person.familyNameReis Costa
person.givenNamePedro
person.identifier600820
person.identifier.ciencia-idC911-9715-E547
person.identifier.orcid0000-0001-6083-470X
person.identifier.ridN-1908-2019
person.identifier.scopus-author-id7201895802
project.funder.identifierhttp://doi.org/10.13039/501100001871
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project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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