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A systematic approach toward progressive improvement of national antimicrobial resistance surveillance systems in food and agriculture sectors
The first Food and Agriculture Organization of the United Nations (FAO) Action Plan on antimicrobial resistance (AMR), published in 2016, identified the need to develop capacity for AMR surveillance and monitoring in food and agriculture sectors. As part of this effort, FAO has developed the “Assess...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9941986/ https://www.ncbi.nlm.nih.gov/pubmed/36825205 http://dx.doi.org/10.3389/fvets.2022.1057040 |
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author | Keck, Nicolas Treilles, Michaël Gordoncillo, Mary Ivette, Ouoba Labia Irène Dauphin, Gwenaëlle Dorado-Garcia, Alejandro Eckford, Suzanne Kabali, Emmanuel Gourlaouen, Morgane Latronico, Francesca Lubroth, Juan Sumption, Keith Song, Junxia Mouillé, Béatrice |
author_facet | Keck, Nicolas Treilles, Michaël Gordoncillo, Mary Ivette, Ouoba Labia Irène Dauphin, Gwenaëlle Dorado-Garcia, Alejandro Eckford, Suzanne Kabali, Emmanuel Gourlaouen, Morgane Latronico, Francesca Lubroth, Juan Sumption, Keith Song, Junxia Mouillé, Béatrice |
author_sort | Keck, Nicolas |
collection | PubMed |
description | The first Food and Agriculture Organization of the United Nations (FAO) Action Plan on antimicrobial resistance (AMR), published in 2016, identified the need to develop capacity for AMR surveillance and monitoring in food and agriculture sectors. As part of this effort, FAO has developed the “Assessment Tool for Laboratories and AMR Surveillance Systems” (FAO-ATLASS) to assist countries in systematically assessing their AMR surveillance system in food and agriculture. FAO-ATLASS includes two different modules for surveillance and laboratory assessment. Each module includes two questionnaires that collect either qualitative or semi-quantitative data to describe and score the performance of national AMR surveillance system data production network, data collection and analysis, governance, communication and overall sustainability in a standardized manner. Based on information captured in the questionnaire by trained assessors (1) tables and figures describing the outputs of the surveillance system are automatically generated (2) a Progressive Improvement Pathway (PIP) stage, ranging from “1-limited” to “5-sustainable”, is assigned to each laboratory assessed in the country, each area of the surveillance system and also to the overarching national AMR surveillance system. FAO-ATLASS allows national authorities to implement a strategic stepwise approach to improving their AMR surveillance systems via the FAO-ATLASS PIP system and provides an evidence base for actions and advocacy. The implementation of FAO-ATLASS at regional and global levels can contribute to harmonize and better coordinate strategies aimed at implementing an integrated AMR surveillance system under the One Health approach. |
format | Online Article Text |
id | pubmed-9941986 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99419862023-02-22 A systematic approach toward progressive improvement of national antimicrobial resistance surveillance systems in food and agriculture sectors Keck, Nicolas Treilles, Michaël Gordoncillo, Mary Ivette, Ouoba Labia Irène Dauphin, Gwenaëlle Dorado-Garcia, Alejandro Eckford, Suzanne Kabali, Emmanuel Gourlaouen, Morgane Latronico, Francesca Lubroth, Juan Sumption, Keith Song, Junxia Mouillé, Béatrice Front Vet Sci Veterinary Science The first Food and Agriculture Organization of the United Nations (FAO) Action Plan on antimicrobial resistance (AMR), published in 2016, identified the need to develop capacity for AMR surveillance and monitoring in food and agriculture sectors. As part of this effort, FAO has developed the “Assessment Tool for Laboratories and AMR Surveillance Systems” (FAO-ATLASS) to assist countries in systematically assessing their AMR surveillance system in food and agriculture. FAO-ATLASS includes two different modules for surveillance and laboratory assessment. Each module includes two questionnaires that collect either qualitative or semi-quantitative data to describe and score the performance of national AMR surveillance system data production network, data collection and analysis, governance, communication and overall sustainability in a standardized manner. Based on information captured in the questionnaire by trained assessors (1) tables and figures describing the outputs of the surveillance system are automatically generated (2) a Progressive Improvement Pathway (PIP) stage, ranging from “1-limited” to “5-sustainable”, is assigned to each laboratory assessed in the country, each area of the surveillance system and also to the overarching national AMR surveillance system. FAO-ATLASS allows national authorities to implement a strategic stepwise approach to improving their AMR surveillance systems via the FAO-ATLASS PIP system and provides an evidence base for actions and advocacy. The implementation of FAO-ATLASS at regional and global levels can contribute to harmonize and better coordinate strategies aimed at implementing an integrated AMR surveillance system under the One Health approach. Frontiers Media S.A. 2023-02-07 /pmc/articles/PMC9941986/ /pubmed/36825205 http://dx.doi.org/10.3389/fvets.2022.1057040 Text en Copyright © Food and Agriculture Organisation of the United Nations 2023. https://creativecommons.org/licenses/by/3.0/igo/This is an open access article distributed under the terms of the Creative Commons Attribution IGO License (https://creativecommons.org/licenses/by/3.0/igo/legalcode (https://creativecommons.org/licenses/by/3.0/igo/) ), which permits unrestricted use, adaptation (including derivative works), distribution, and reproduction in any medium, provided the original work is properly cited. In any reproduction or adaptation of this article there should not be any suggestion that FAO or this article endorse any specific organisation or products. The use of the FAO logo is not permitted. This notice should be preserved along with the article's original URL. |
spellingShingle | Veterinary Science Keck, Nicolas Treilles, Michaël Gordoncillo, Mary Ivette, Ouoba Labia Irène Dauphin, Gwenaëlle Dorado-Garcia, Alejandro Eckford, Suzanne Kabali, Emmanuel Gourlaouen, Morgane Latronico, Francesca Lubroth, Juan Sumption, Keith Song, Junxia Mouillé, Béatrice A systematic approach toward progressive improvement of national antimicrobial resistance surveillance systems in food and agriculture sectors |
title | A systematic approach toward progressive improvement of national antimicrobial resistance surveillance systems in food and agriculture sectors |
title_full | A systematic approach toward progressive improvement of national antimicrobial resistance surveillance systems in food and agriculture sectors |
title_fullStr | A systematic approach toward progressive improvement of national antimicrobial resistance surveillance systems in food and agriculture sectors |
title_full_unstemmed | A systematic approach toward progressive improvement of national antimicrobial resistance surveillance systems in food and agriculture sectors |
title_short | A systematic approach toward progressive improvement of national antimicrobial resistance surveillance systems in food and agriculture sectors |
title_sort | systematic approach toward progressive improvement of national antimicrobial resistance surveillance systems in food and agriculture sectors |
topic | Veterinary Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9941986/ https://www.ncbi.nlm.nih.gov/pubmed/36825205 http://dx.doi.org/10.3389/fvets.2022.1057040 |
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