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Patterns and trends of Klebsiella pneumoniae resistance to Carbapenems

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dc.contributor.authorNascimento, Ana Paula
dc.contributor.authorVieira, Mónica
dc.contributor.authorFaria, Brígida Mónica
dc.contributor.authorOliveira, Alexandra
dc.contributor.authorVinhal, Cláudia
dc.contributor.authorPrudêncio, Cristina
dc.contributor.authorBacelar-Nicolau, Helena
dc.contributor.authorAlmeida Vieira, Mónica Andreia
dc.contributor.authorFaria, Brigida Monica
dc.contributor.authorOliveira, Alexandra
dc.contributor.authorPrudêncio, Cristina
dc.date.accessioned2026-10-20T09:49:12Z
dc.date.available2026-10-20T09:49:12Z
dc.date.issued2026
dc.description.abstractThe growing prevalence of drug-resistant infections has led to increased morbidity, mortality, and healthcare costs worldwide. Bacterial resistance to antimicrobials has been increasing in Europe over the last few years. According to WHO, new antimicrobials or strategies are urgently needed to treat this kind of infections. Addressing this issue, it is needed not only coordinated policy action but also a deep understanding of the epidemiological patterns and trends underlying antimicrobial resistance (AMR), particularly across different European countries. ln the present study, and considering the WHO alert reports, the particular case of carbapenem-resistant Gram-negative bacterial infections was evaluated. Agglomerative hierarchical cluster analysis was employed to explore patterns and relationships among various countries in the context of AMR, particularly in the case of the pair Klebsiella pneumoniae Carbapenems. These data are time series of different lengths; therefore, to perform the cluster analysis, the Autoregressive Integrated Moving Average (ARIMA) models are the ones that best represent the behaviour of resistant isolate percentage values over time, in the case of the pair Klebsiella pneumoniae Carbapenems, across several countries. To measure the similarity among different countries in the context of AMR, in the case of the pair Klebsiella pneumoniae Carbapenems, the generalized Affinity coefficient between ARIMA models was applied R software was used, and, for that reason, the associated distance of the generalized Affinity coefficient is also applied.eng
dc.identifier.citationNascimento, A. P., Vieira, M., Faria, B. M., Oliveira, A., Vinhal, C., Prudêncio, C., & Bacelar-Nicolau, H. (2025). Patterns and trends of Klebsiella pneumoniae resistance to Carbapenems. Book of Abstracts of the 7th Meeting on Medicinal Biotechnology - 3rd Iberian Congress on Medicinal Biotechnology, 36.
dc.identifier.urihttp://hdl.handle.net/10400.22/32961
dc.language.isoeng
dc.peerreviewedn/a
dc.rights.uriN/A
dc.subjectKlebsiella pneumoniae
dc.subjectHierarchical cluster analysis
dc.subjectGeneralized affinity coefficiant
dc.subjectARIMA models
dc.titlePatterns and trends of Klebsiella pneumoniae resistance to Carbapenemseng
dc.typeconference poster
dspace.entity.typePublication
oaire.citation.conferenceDate2025-05-30
oaire.citation.conferencePlacePorto
oaire.citation.startPage36
oaire.citation.titleBook of Abstracts of the 7th Meeting on Medicinal Biotechnology - 3rd Iberian Congress on Medicinal Biotechnology
oaire.versionhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43
person.familyNameAlmeida Vieira
person.familyNameFaria
person.familyNameOliveira
person.familyNamePrudêncio
person.givenNameMónica Andreia
person.givenNameBrigida Monica
person.givenNameAlexandra
person.givenNameCristina
person.identifierR-000-T1F
person.identifier1200571
person.identifier.ciencia-idA01E-9178-9B48
person.identifier.ciencia-id0D1F-FB5E-55E4
person.identifier.ciencia-id161A-55D9-C256
person.identifier.ciencia-idC81E-F4EE-FADE
person.identifier.orcid0000-0002-8687-4811
person.identifier.orcid0000-0003-2102-3407
person.identifier.orcid0000-0001-5872-5504
person.identifier.orcid0000-0002-9920-936X
person.identifier.ridC-6649-2012
person.identifier.scopus-author-id6506476517
person.identifier.scopus-author-id56340903500
person.identifier.scopus-author-id6508057930
relation.isAuthorOfPublication861e9c68-4ecc-4be1-a794-852343368e9a
relation.isAuthorOfPublication85832a40-7ef9-431a-be0c-78b45ebbae86
relation.isAuthorOfPublicationd6f940a1-3dba-41d2-9a5e-dc1f313eec07
relation.isAuthorOfPublication881a8ad5-ab13-4e49-89f4-08ca61cc81e3
relation.isAuthorOfPublication.latestForDiscovery861e9c68-4ecc-4be1-a794-852343368e9a

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