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1 to 4 of 4 Results
8 juil. 2023 - ROADMAP
Goutard, Flavie; Bâtie, Chloé, 2023, "Reducing antimicrobial use in chicken production in Vietnam", https://doi.org/10.18167/DVN1/GITSRP, CIRAD Dataverse, V1
Antimicrobial resistance is one of the major public health issues and solutions to reduce its usage are urgently needed. This study aims to understand the transition process of Vietnamese chicken farmers toward lower antimicrobial usage (AMU). Semi-structured interviews were cond...
4 déc. 2022 - AMR-LAOS
Poupaud, Mariline, 2022, "Knowledge-Attitude-Practice survey responses on anti-microbial resistance. Laos farmers. 2018.", https://doi.org/10.18167/DVN1/UM7YUS, CIRAD Dataverse, V1, UNF:6:kKETnBSCVcDmi9cNsxbqBg== [fileUNF]
Knowledge-Attitude-Practice survey of several populations of breeders (commercial chicken, backyard chicken, commercial pigs, backyard pigs, integrated and aquaculture farmers) in Laos regarding Anti-Microbial Resistance (AMR) with supplementary socioeconomic variables and farm c...
3 juin 2020 - AVIESAN
Molia, Sophie, 2020, "Survey of scientists from French-speaking countries on practices in research, surveillance and control of neglected tropical diseases by One Health approaches", https://doi.org/10.18167/DVN1/ZSKMLQ, CIRAD Dataverse, V1
This dataset contains answers to a 2019 online survey which aimed to make an inventory of the activities on neglected tropical diseases involving a One Health component in French-speaking tropical countries; to discuss the constraints and benefits encountered; and to propose reco...
12 mars 2020 - MOOD
Valentin, Sarah; Mercier, Alizé; Lancelot, Renaud; Roche, Mathieu; Arsevska, Elena, 2020, "PADI-web COVID-19 corpus: news articles manually labelled", https://doi.org/10.18167/DVN1/MSLEFC, CIRAD Dataverse, V1, UNF:6:yo9WiPe7jSdSA43cmAivxg== [fileUNF]
This dataset contains two files: a corpus of 275 manually labelled COVID-2019-news articles retrieved by PADI-web from Dec. 31, 2019, to Jan. 26, 2020 (padiweb_covid19.xlsx), and the multi-term expressions extracted from the news articles content using a text-mining tool, BIOTEX...
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