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Ability of recycled manure solids bedding to support growth of Klebsiella pneumoniae and Escherichia coli
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Dufour, Simon; Fréchette, Annie; Généreux, Mylène; Fecteau, Gilles; Côté, Caroline — 2022-11-18 This dataverse contains the data, the legend for the variables, and the SAS code used for analyses of the experiment described in an article titled: "Ability of recycled manure solids bedding to support growth of Klebsiella pneumoniae and Escherichia coli" and submitted for publication (Canadian Journal of Veterinary Research - Manuscript ID 2023-0012).
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Accuracy of testing strategies using ELISA tests on repeated bulk tank milk samples and/or sera of individual animals for predicting herd status for Salmonella Dublin in dairy cattle
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Dufour, Simon — 2023-04-06 This dataverse contains the 2 datasets and the R scripts (n=3) associated with an article titled: "Accuracy of testing strategies using ELISA tests on repeated bulk tank milk samples and/or sera of individual animals for predicting herd status for Salmonella Dublin in dairy cattle " (accepted for publication in Preventive Veterinary Medicine).
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Conventional and unsupervised AI analyses identified risk factors for antimicrobial resistance on dairy farms in the province of Québec, Canada
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Dufour, Simon; Massé, Jonathan; Lardé, Hélène; Archambault, Marie; Francoz, David; Roy, Jean-Philippe; Valdes Donoso, Pablo — 2023-10-13 This is the dataset and the R scripts used for the analyses of a research article titled: "Conventional and unsupervised AI analyses identified risk factors for antimicrobial resistance on dairy farms in the province of Québec, Canada". This article is in preparation for submission for publication in Journal of Dairy Science.
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Development of a decision support tool to compare testing strategies for establishing the herd status for infectious diseases: an example with Salmonella Dublin infection
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Dufour, Simon; André Ravel; Maryse Michèle Um — 2023-10-27 This is the supplemental materials and the Visual Promethee files for a research titled: "Development of a decision support tool to compare testing strategies for establishing the herd status for infectious diseases: an example with Salmonella Dublin infection".
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Estimating Poultry Aspergillosis Prevalence and Diagnostic Accuracy of Histopathological and Mycological Culture in Côte d’Ivoire Using Bayesian Latent Class Analysis
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Dufour, Simon — 2023-11-03 This dataverse contains the R script used in the article titled: "Estimating Poultry Aspergillosis Prevalence and Diagnostic Accuracy of Histopathological and Mycological Culture in Côte d’Ivoire Using Bayesian Latent Class Analysis" and submitted for publication in Mycology: An International Journal of Fungal Biology in November 2023.
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Factors affecting the health and performance of veal calves in Quebec
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Dufour, Simon; Abdelmonem, Mohamed; Buczinski, Sébastien; Francoz, David; Berman, Julie — 2023-12-22 This dataverse contains the R scripts used in two articles describing, using data from a field study, the effect of transfer of passive immunity and other arrival risk factors on morbidity, mortality, and average daily gain of veal calves. The first article (titled: Arrival risk factors associated with morbidity and mortality in veal calves in Québec, Canada) is currently under review in Journal of Dairy Science. The second article (titled: Association between passive immunity transfer at arrival and average daily gain in veal calves in Québec, Canada) will be submitted to Journal of Dairy Science early in 2024.
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Replication data for : Biosecurity adoption in Quebec dairy farms: results from a risk assessment questionnaire analyzed using conventional and unsupervised artificial intelligence methods
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Dufour, Simon — 2024-01-12 This dataverse contains the tool used to collect the data (a risk assessment questionnaire; RAQ; developped by Dairy Farmers of Canada), the dataset, the R script used for the analyses and some supplementary materials for a research study titled: "Biosecurity adoption in Quebec dairy farms: results from a risk assessment questionnaire analyzed using conventional and unsupervised artificial intelligence methods" and submitted for publication in Journal of Dairy Science in October 2023.
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Replication data for: "Usefulness of differential somatic cell count for udder health monitoring: identifying referential values for differential somatic cell count in healthy quarters and quarters with subclinical mastitis using Gaussian finite mixture model"
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Dufour, Simon — 2024-02-27 This dataverse contains the datasets, an executable R script (as a .Rmd file) and supplementary results (as an .html file) for the mentioned article in preparation for submission to Journal of Dairy Science (February 2024).
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Replication data for: Bayesian accuracy estimates of diagnostic tests for tuberculosis in captive sun bears (Helarctos malayanus) and Asiatic black bears (Ursus thibetanus) in Cambodia and Vietnam
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Bethany Jackson; Kirsty Officer; Dufour, Simon; Juan Carlos Arango Sabogal — 2024-03-26 This is the dataset along with the analyses script for a study titled "Bayesian accuracy estimates of diagnostic tests for tuberculosis in captive sun bears (Helarctos malayanus) and Asiatic black bears (Ursus thibetanus) in Cambodia and Vienam". The article is in preparation for submission in a peer reviewed journal.
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Replication Data for: Meta-analysis of the incidence of pregnancy losses in dairy cows at different stages to 90 days of gestation
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Albaaj, Ahmad; Durocher, Jean; LeBlanc, Stephen; Dufour, Simon — 2022-08-05 Results from a literature search using PubMed (https://pubmed.ncbi.nlm.nih.gov/) and CAB (https://www.cabdirect.org/cabdirect) search engines in July 2022 and using “pregnancy OR fetal OR embryonic AND loss OR death” and “dairy AND cattle OR cow OR bos taurus OR bovin” in the title and abstract for PubMed and in the title for CAB to identify articles reporting proportion of pregnancy losses in dairy cows. Comments for inclusion/exclusion of articles are reported.
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Classical microbiology data - Beauchemin et al., 2021
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Dufour, Simon — 2021-06-17 This dataset contains the data for the classical microbiology part of the Beauchemin et al., 2021 article. The first three digits of the Sample_ID variable represent the herd identification.
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Bayesian estimation of sensitivity and specificity of a commercial milk pregnancy-associated glycoprotein ELISA test between 23 and 27 days after breeding in dairy cows.
Borealis
Durocher, Jean; Moore, Robert K.; Albaaj, Ahmad; Stephen Leblanc; Dufour, Simon — 2021-10-22 This dataverse contains the dataset and R scripts (as RMarkdown html documents) describing the different analyses conducted in the mentioned article on estimation of PAG diagnostic test accuracy when applied to dairy cows between 23-27 days post-breeding.

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(Source Repository: Université de Montréal Dataverse) AND (Author: Dufour, Simon)

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