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Mapping the effect of antimicrobial resistance in poultry production in Senegal: an integrated system dynamics and network analysis approach

The impact of antimicrobial resistance (AMR) extends beyond the farm-level to other stakeholders warranting the need for a collaborative approach to combat AMR while optimising production objectives and safeguarding human health. This study maps out the effect of AMR originating from poultry product...

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Autores principales: Aboah, Joshua, Ngom, Babacar, Emes, Eves, Fall, Awa Gueye, Seydi, Moutar, Faye, Ardiouma, Dione, Michel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10374361/
https://www.ncbi.nlm.nih.gov/pubmed/37519996
http://dx.doi.org/10.3389/fvets.2023.1189109
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author Aboah, Joshua
Ngom, Babacar
Emes, Eves
Fall, Awa Gueye
Seydi, Moutar
Faye, Ardiouma
Dione, Michel
author_facet Aboah, Joshua
Ngom, Babacar
Emes, Eves
Fall, Awa Gueye
Seydi, Moutar
Faye, Ardiouma
Dione, Michel
author_sort Aboah, Joshua
collection PubMed
description The impact of antimicrobial resistance (AMR) extends beyond the farm-level to other stakeholders warranting the need for a collaborative approach to combat AMR while optimising production objectives and safeguarding human health. This study maps out the effect of AMR originating from poultry production in Senegal and highlights the entry points for interventions from stakeholders’ perspectives. A causal loop diagram (CLD) was developed following a group model building procedure with 20 stakeholders and integrated with network analysis by translating the CLD into an unweighted directed network. Results indicate that with an eigenvector centrality of 1, 0.85, and 0.74, the production cost, on-farm profit, and on-farm productivity, respectively are the most ranked influential variables driving the complexity of AMR in the poultry production system. Two reinforcing feedback loops highlight the dual benefits of improving on-farm productivity and increasing on-farm profit. However, one balancing feedback loop that revolves around the causal link between producers’ investment in qualified human resource personnel to ensure good farm management practices underline the financial implication of producers’ investment decisions. The findings provide precursory groundings for the development of a quantitative SD model, the formulation of intervention scenarios and ex-ante impact assessment of the cost-effectiveness of the interventions.
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spelling pubmed-103743612023-07-28 Mapping the effect of antimicrobial resistance in poultry production in Senegal: an integrated system dynamics and network analysis approach Aboah, Joshua Ngom, Babacar Emes, Eves Fall, Awa Gueye Seydi, Moutar Faye, Ardiouma Dione, Michel Front Vet Sci Veterinary Science The impact of antimicrobial resistance (AMR) extends beyond the farm-level to other stakeholders warranting the need for a collaborative approach to combat AMR while optimising production objectives and safeguarding human health. This study maps out the effect of AMR originating from poultry production in Senegal and highlights the entry points for interventions from stakeholders’ perspectives. A causal loop diagram (CLD) was developed following a group model building procedure with 20 stakeholders and integrated with network analysis by translating the CLD into an unweighted directed network. Results indicate that with an eigenvector centrality of 1, 0.85, and 0.74, the production cost, on-farm profit, and on-farm productivity, respectively are the most ranked influential variables driving the complexity of AMR in the poultry production system. Two reinforcing feedback loops highlight the dual benefits of improving on-farm productivity and increasing on-farm profit. However, one balancing feedback loop that revolves around the causal link between producers’ investment in qualified human resource personnel to ensure good farm management practices underline the financial implication of producers’ investment decisions. The findings provide precursory groundings for the development of a quantitative SD model, the formulation of intervention scenarios and ex-ante impact assessment of the cost-effectiveness of the interventions. Frontiers Media S.A. 2023-07-13 /pmc/articles/PMC10374361/ /pubmed/37519996 http://dx.doi.org/10.3389/fvets.2023.1189109 Text en Copyright © 2023 Aboah, Ngom, Emes, Fall, Seydi, Faye and Dione. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Veterinary Science
Aboah, Joshua
Ngom, Babacar
Emes, Eves
Fall, Awa Gueye
Seydi, Moutar
Faye, Ardiouma
Dione, Michel
Mapping the effect of antimicrobial resistance in poultry production in Senegal: an integrated system dynamics and network analysis approach
title Mapping the effect of antimicrobial resistance in poultry production in Senegal: an integrated system dynamics and network analysis approach
title_full Mapping the effect of antimicrobial resistance in poultry production in Senegal: an integrated system dynamics and network analysis approach
title_fullStr Mapping the effect of antimicrobial resistance in poultry production in Senegal: an integrated system dynamics and network analysis approach
title_full_unstemmed Mapping the effect of antimicrobial resistance in poultry production in Senegal: an integrated system dynamics and network analysis approach
title_short Mapping the effect of antimicrobial resistance in poultry production in Senegal: an integrated system dynamics and network analysis approach
title_sort mapping the effect of antimicrobial resistance in poultry production in senegal: an integrated system dynamics and network analysis approach
topic Veterinary Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10374361/
https://www.ncbi.nlm.nih.gov/pubmed/37519996
http://dx.doi.org/10.3389/fvets.2023.1189109
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