ArticleFrontiers in veterinary science2023
Mapping the effect of antimicrobial resistance in poultry production in Senegal: an integrated system dynamics and network analysis approach.
Article in Frontiers in veterinary science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed, 3 citations in OpenAlex.
- Systems thinking to understand the complexity of antimicrobial resistance across One Health: A systematic review of current approaches.One health (Amsterdam, Netherlands) · 2025Review
- Using network analysis to identify leverage points based on causal loop diagrams leads to false inference.Scientific reports · 2023Article
- An agent-based model for collaborative learning to combat antimicrobial resistance: proof of concept based on broiler production in Senegal.Science in One Health · 2023Article
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Authors and funding
7 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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
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