Time-Lagged Correlation Analysis of Shellfish Toxicity Reveals Predictive Links to Adjacent Areas, Species, and Environmental Conditions
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/144597 |
Resumo: | info:eu-repo/grantAgreement/EC/H2020/951970/EU LA/P/0101/2020 |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Time-Lagged Correlation Analysis of Shellfish Toxicity Reveals Predictive Links to Adjacent Areas, Species, and Environmental ConditionstoxicityshellfishDSPPortuguese coastcorrelation analysisToxicologyHealth, Toxicology and MutagenesisSDG 14 - Life Below Waterinfo:eu-repo/grantAgreement/EC/H2020/951970/EU LA/P/0101/2020Diarrhetic 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.NOVALincsCMA - Centro de Matemática e AplicaçõesLAQV@REQUIMTEDQ - Departamento de QuímicaRUNPatrício, AndréLopes, Marta B.Costa, Pedro ReisCosta, Rafael S.Henriques, RuiMartins, Susana de Almeida Mendes Vinga2022-10-11T22:24:04Z2022-09-302022-09-30T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article18application/pdfhttp://hdl.handle.net/10362/144597eng2072-6651PURE: 46848049https://doi.org/10.3390/toxins14100679info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-05-22T18:05:51Zoai:run.unl.pt:10362/144597Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-22T18:05:51Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Time-Lagged Correlation Analysis of Shellfish Toxicity Reveals Predictive Links to Adjacent Areas, Species, and Environmental Conditions |
title |
Time-Lagged Correlation Analysis of Shellfish Toxicity Reveals Predictive Links to Adjacent Areas, Species, and Environmental Conditions |
spellingShingle |
Time-Lagged Correlation Analysis of Shellfish Toxicity Reveals Predictive Links to Adjacent Areas, Species, and Environmental Conditions Patrício, André toxicity shellfish DSP Portuguese coast correlation analysis Toxicology Health, Toxicology and Mutagenesis SDG 14 - Life Below Water |
title_short |
Time-Lagged Correlation Analysis of Shellfish Toxicity Reveals Predictive Links to Adjacent Areas, Species, and Environmental Conditions |
title_full |
Time-Lagged Correlation Analysis of Shellfish Toxicity Reveals Predictive Links to Adjacent Areas, Species, and Environmental Conditions |
title_fullStr |
Time-Lagged Correlation Analysis of Shellfish Toxicity Reveals Predictive Links to Adjacent Areas, Species, and Environmental Conditions |
title_full_unstemmed |
Time-Lagged Correlation Analysis of Shellfish Toxicity Reveals Predictive Links to Adjacent Areas, Species, and Environmental Conditions |
title_sort |
Time-Lagged Correlation Analysis of Shellfish Toxicity Reveals Predictive Links to Adjacent Areas, Species, and Environmental Conditions |
author |
Patrício, André |
author_facet |
Patrício, André Lopes, Marta B. Costa, Pedro Reis Costa, Rafael S. Henriques, Rui Martins, Susana de Almeida Mendes Vinga |
author_role |
author |
author2 |
Lopes, Marta B. Costa, Pedro Reis Costa, Rafael S. Henriques, Rui Martins, Susana de Almeida Mendes Vinga |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
NOVALincs CMA - Centro de Matemática e Aplicações LAQV@REQUIMTE DQ - Departamento de Química RUN |
dc.contributor.author.fl_str_mv |
Patrício, André Lopes, Marta B. Costa, Pedro Reis Costa, Rafael S. Henriques, Rui Martins, Susana de Almeida Mendes Vinga |
dc.subject.por.fl_str_mv |
toxicity shellfish DSP Portuguese coast correlation analysis Toxicology Health, Toxicology and Mutagenesis SDG 14 - Life Below Water |
topic |
toxicity shellfish DSP Portuguese coast correlation analysis Toxicology Health, Toxicology and Mutagenesis SDG 14 - Life Below Water |
description |
info:eu-repo/grantAgreement/EC/H2020/951970/EU LA/P/0101/2020 |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-10-11T22:24:04Z 2022-09-30 2022-09-30T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/144597 |
url |
http://hdl.handle.net/10362/144597 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2072-6651 PURE: 46848049 https://doi.org/10.3390/toxins14100679 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
18 application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
mluisa.alvim@gmail.com |
_version_ |
1817545892234788865 |