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The use of WHONET for antimicrobial resistance surveillance

2026-12Recensão Acesso aberto
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dc.contributor.authorAboushady, Ahmed Taha
dc.contributor.authorChen-Xu, José
dc.contributor.authorElfakharany, Ahmed
dc.contributor.authorMansour, Fatma
dc.contributor.authorEissa, Mohamed
dc.contributor.authorWeber, Sophie
dc.contributor.authorO’Brien, Thomas F.
dc.contributor.authorStelling, John
dc.contributor.institutionLaboratório Associado de Translacção e Inovação para a Saúde Global - LA Real (Pólo ENSP)
dc.contributor.institutionCentro de Investigação em Saúde Pública (CISP/PHRC)
dc.contributor.institutionComprehensive Health Research Centre (CHRC) - Pólo ENSP
dc.contributor.institutionEscola Nacional de Saúde Pública (ENSP)
dc.contributor.pblSpringer Verlag
dc.date.accessioned2026-05-15T11:01:02Z
dc.date.available2026-05-15T11:01:02Z
dc.date.issued2026-12
dc.descriptionPublisher Copyright: © The Author(s) 2025.
dc.description.abstractAntimicrobial Resistance (AMR) is a global public health threat. Several surveillance systems/networks were established to provide critical data to detect resistance patterns, guide treatments, and inform policies to mitigate AMR’s public health impact. WHONET software was developed in 1989 as a free software that manages and analyses microbiology laboratory data, entirely dedicated to antimicrobial susceptibility test results. A systematic search was conducted in five electronic databases, PubMed, ScienceDirect, Web of Science, Scopus, and Embase, from their inception until December 31st, 2024. It included all articles that reported using WHONET. From the initial 4,636 articles retrieved, 511 were included. Most studies were cross-sectional or prevalence studies (72.4%), with the majority utilizing secondary data sources (83.2%). Articles included data from 110 countries, with the highest amount coming from China, and the number of publications increased over time. Additionally, most articles included data from 2 to 3 years before publication. Of the 2160 organisms examined across the studies, Enterobacterales (43.8%), Staphylococcus spp. (12.5%) and Pseudomonas spp. (9.3%) were the most covered microorganisms. In conclusion, the review highlights the growing interest in WHONET and AMR. WHONET’s ability to leverage routine and secondary data for AMR monitoring is advantageous compared to other systems. However, expanding WHONET’s application and integrating advanced analytics are essential for enhancing its role in a comprehensive One Health approach to combat AMR, particularly in LMICs.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent2084101
dc.identifier.doi10.1186/s12879-025-12420-1
dc.identifier.issn2374-4235
dc.identifier.otherPURE: 162993389
dc.identifier.otherPURE UUID: e40921fa-5f55-43b1-8eb7-c9f324bc6701
dc.identifier.otherScopus: 105030360817
dc.identifier.otherPubMed: 41580659
dc.identifier.otherPubMedCentral: PMC12910943
dc.identifier.otherWOS: 001694101600010
dc.identifier.urihttp://hdl.handle.net/10362/203132
dc.identifier.urlhttps://www.scopus.com/pages/publications/105030360817
dc.language.isoeng
dc.peerreviewedyes
dc.subjectAntimicrobial resistance
dc.subjectData management
dc.subjectData quality
dc.subjectSystematic review
dc.subjectWHONET
dc.subjectInfectious Diseases
dc.subjectSDG 3 - Good Health and Well-being
dc.titleThe use of WHONET for antimicrobial resistance surveillanceen
dc.title.subtitlea systematic reviewen
dc.typereview
degois.publication.issue1
degois.publication.titleBMC Infectious Diseases
degois.publication.volume26
dspace.entity.typePublication
rcaap.rightsopenAccess

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