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

Date Issued
2023-07Date Online
2023-07Language
enType
Journal ArticleReview status
Peer ReviewISI journal
Accessibility
Open AccessUsage rights
CC-BY-4.0Metadata
Show full item recordCitation
Aboah, J., Ngom, B., Emes, E., Fall, A.G., Seydi, M., Faye, A. and Dione, M. 2023. Mapping the effect of antimicrobial resistance in poultry production in Senegal: an integrated system dynamics and network analysis approach. Frontiers in Veterinary Science 10: 1189109.
Permanent link to cite or share this item: https://hdl.handle.net/10568/131170
Abstract/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.
CGIAR Author ORCID iDs
Joshua Aboahhttps://orcid.org/0000-0003-1000-2109
Michel Dionehttps://orcid.org/0000-0001-7812-5776