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http://hdl.handle.net/1942/39720
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DC Field | Value | Language |
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dc.contributor.author | AERTS, Marc | - |
dc.contributor.author | Teng, Kendy Tzu-yun | - |
dc.contributor.author | JASPERS, Stijn | - |
dc.contributor.author | Alvarez Sanchez, Julio | - |
dc.contributor.editor | Chindelevitch, Leonid | - |
dc.date.accessioned | 2023-03-16T09:31:21Z | - |
dc.date.available | 2023-03-16T09:31:21Z | - |
dc.date.issued | 2022 | - |
dc.date.submitted | 2023-03-14T15:04:23Z | - |
dc.identifier.citation | PLoS One, 17 (12) (Art N° e0277866) | - |
dc.identifier.uri | http://hdl.handle.net/1942/39720 | - |
dc.description.abstract | Monitoring and investigating temporal trends in antimicrobial data is a high priority for human and animal health authorities. Timely detection of temporal changes in antimicrobial resistance (AMR) can rely not only on monitoring and analyzing the proportion of resistant isolates based on the use of a clinical or epidemiological cut-off value, but also on more subtle changes and trends in the full distribution of minimum inhibitory concentration (MIC) values. The nature of the MIC distribution is categorical and ordinal (discrete). In this contribution, we developed a particular family of multicategory logit models for estimating and modelling MIC distributions over time. It allows the detection of a multitude of temporal trends in the full discrete distribution, without any assumption on the underlying continuous distribution for the MIC values. The experimental ranges of the serial dilution experiments may vary across laboratories and over time. The proposed categorical model allows to estimate the MIC distribution over the maximal range of the observed experiments, and allows the observed ranges to vary across labs and over time. The use and performance of the model is illustrated with two datasets on AMR in Salmonella. | - |
dc.description.sponsorship | The authors thank the official veterinary services from the Spanish Ministry of Agriculture, Fisheries and Food for providing the CIPR data. The authors also thank the editors and reviewers for their constructive comments. | - |
dc.language.iso | en | - |
dc.publisher | PUBLIC LIBRARY SCIENCE | - |
dc.rights | 2022 Aerts et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. | - |
dc.subject.other | Animals | - |
dc.subject.other | Humans | - |
dc.subject.other | Logistic Models | - |
dc.subject.other | Microbial Sensitivity Tests | - |
dc.subject.other | Group Processes | - |
dc.subject.other | Anti-Bacterial Agents | - |
dc.subject.other | Drug Resistance, Bacterial | - |
dc.title | A multicategory logit model detecting temporal changes in antimicrobial resistance | - |
dc.type | Journal Contribution | - |
dc.identifier.issue | 12 | - |
dc.identifier.volume | 17 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | Aerts, M (corresponding author), Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat, Diepenbeek, Belgium.; Aerts, M (corresponding author), Hasselt Univ, Data Sci Inst, Diepenbeek, Belgium. | - |
dc.description.notes | marc.aerts@uhasselt.be | - |
local.publisher.place | 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
local.bibliographicCitation.artnr | e0277866 | - |
dc.identifier.doi | 10.1371/journal.pone.0277866 | - |
dc.identifier.pmid | 36454890 | - |
dc.identifier.isi | 000925734000072 | - |
dc.contributor.orcid | Teng, Kendy/0000-0003-3200-1545 | - |
local.provider.type | wosris | - |
local.description.affiliation | [Aerts, Marc; Jaspers, Stijn] Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat, Diepenbeek, Belgium. | - |
local.description.affiliation | [Aerts, Marc; Jaspers, Stijn] Hasselt Univ, Data Sci Inst, Diepenbeek, Belgium. | - |
local.description.affiliation | [Teng, Kendy Tzu-yun; Alvarez Sanchez, Julio] Univ Complutense, VISAVET Hlth Surveillance Ctr, Madrid, Spain. | - |
local.description.affiliation | [Teng, Kendy Tzu-yun] Natl Chung Hsing Univ, Coll Vet Med, Dept Vet Med, Taichung, Taiwan. | - |
local.description.affiliation | [Alvarez Sanchez, Julio] Univ Complutense, Fac Vet Med, Dept Anim Hlth, Madrid, Spain. | - |
local.uhasselt.international | yes | - |
item.fullcitation | AERTS, Marc; Teng, Kendy Tzu-yun; JASPERS, Stijn & Alvarez Sanchez, Julio (2022) A multicategory logit model detecting temporal changes in antimicrobial resistance. In: PLoS One, 17 (12) (Art N° e0277866). | - |
item.contributor | AERTS, Marc | - |
item.contributor | Teng, Kendy Tzu-yun | - |
item.contributor | JASPERS, Stijn | - |
item.contributor | Alvarez Sanchez, Julio | - |
item.contributor | Chindelevitch, Leonid | - |
item.accessRights | Open Access | - |
item.fulltext | With Fulltext | - |
crisitem.journal.issn | 1932-6203 | - |
crisitem.journal.eissn | 1932-6203 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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A multicategory logit model detecting temporal changes in antimicrobial resistance.pdf | Published version | 2.04 MB | Adobe PDF | View/Open |
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