An agent-based model for collaborative learning to combat antimicrobial resistance: Proof of concept based on broiler production in Senegal
Antimicrobial resistance (AMR) is a substantial global One Health problem. This paper reports on initial, proof-of-concept development of an agent-based model (ABM) as part of wider modelling efforts to support collaborations between groups interested in policy development for animal health and food...
| Autores principales: | , , , , , , , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2023
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/132740 |
| _version_ | 1855529059197386752 |
|---|---|
| author | Ndekou, P.P. Drake, A. Lomax, J. Dione, Michel M. Faye, A. Nsangou, M.D.N. Korir, Luke Sklar, E. |
| author_browse | Dione, Michel M. Drake, A. Faye, A. Korir, Luke Lomax, J. Ndekou, P.P. Nsangou, M.D.N. Sklar, E. |
| author_facet | Ndekou, P.P. Drake, A. Lomax, J. Dione, Michel M. Faye, A. Nsangou, M.D.N. Korir, Luke Sklar, E. |
| author_sort | Ndekou, P.P. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Antimicrobial resistance (AMR) is a substantial global One Health problem. This paper reports on initial, proof-of-concept development of an agent-based model (ABM) as part of wider modelling efforts to support collaborations between groups interested in policy development for animal health and food systems. The model simulates AMR in poultry production in Senegal. It simultaneously addresses current policy issues, builds on existing modelling in the domain and describes AMR in the broiler chicken production cycle as seen by producers and veterinarians. This enables implementation and assessment of producer antimicrobial use (AMU) and infection prevention and control (IPC) strategies in terms of immediate economic incentives, potentially helping to advance conversations by addressing national policy priorities. Our model is presented as a flexible tool with promise for extension as part of AMR policy development in Senegal and West Africa, using participatory approaches. This work indicates that ABM can potentially play a useful role in fostering counter-AMR initiatives driven by food system actor behaviour in lower- and middle-income countries (LMIC) more generally. |
| format | Journal Article |
| id | CGSpace132740 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace1327402025-12-08T09:54:28Z An agent-based model for collaborative learning to combat antimicrobial resistance: Proof of concept based on broiler production in Senegal Ndekou, P.P. Drake, A. Lomax, J. Dione, Michel M. Faye, A. Nsangou, M.D.N. Korir, Luke Sklar, E. antimicrobial resistance animal production poultry chickens Antimicrobial resistance (AMR) is a substantial global One Health problem. This paper reports on initial, proof-of-concept development of an agent-based model (ABM) as part of wider modelling efforts to support collaborations between groups interested in policy development for animal health and food systems. The model simulates AMR in poultry production in Senegal. It simultaneously addresses current policy issues, builds on existing modelling in the domain and describes AMR in the broiler chicken production cycle as seen by producers and veterinarians. This enables implementation and assessment of producer antimicrobial use (AMU) and infection prevention and control (IPC) strategies in terms of immediate economic incentives, potentially helping to advance conversations by addressing national policy priorities. Our model is presented as a flexible tool with promise for extension as part of AMR policy development in Senegal and West Africa, using participatory approaches. This work indicates that ABM can potentially play a useful role in fostering counter-AMR initiatives driven by food system actor behaviour in lower- and middle-income countries (LMIC) more generally. 2023 2023-11-06T07:13:13Z 2023-11-06T07:13:13Z Journal Article https://hdl.handle.net/10568/132740 en Open Access Elsevier Ndekou, P.P., Drake, A., Lomax, J., Dione, M., Faye, A., Nsangou, M.D.N., Korir, L. and Sklar, E. 2023. An agent-based model for collaborative learning to combat antimicrobial resistance: Proof of concept based on broiler production in Senegal. Science in One Health 2: 100051. |
| spellingShingle | antimicrobial resistance animal production poultry chickens Ndekou, P.P. Drake, A. Lomax, J. Dione, Michel M. Faye, A. Nsangou, M.D.N. Korir, Luke Sklar, E. An agent-based model for collaborative learning to combat antimicrobial resistance: Proof of concept based on broiler production in Senegal |
| title | An agent-based model for collaborative learning to combat antimicrobial resistance: Proof of concept based on broiler production in Senegal |
| title_full | An agent-based model for collaborative learning to combat antimicrobial resistance: Proof of concept based on broiler production in Senegal |
| title_fullStr | An agent-based model for collaborative learning to combat antimicrobial resistance: Proof of concept based on broiler production in Senegal |
| title_full_unstemmed | An agent-based model for collaborative learning to combat antimicrobial resistance: Proof of concept based on broiler production in Senegal |
| title_short | An agent-based model for collaborative learning to combat antimicrobial resistance: Proof of concept based on broiler production in Senegal |
| title_sort | agent based model for collaborative learning to combat antimicrobial resistance proof of concept based on broiler production in senegal |
| topic | antimicrobial resistance animal production poultry chickens |
| url | https://hdl.handle.net/10568/132740 |
| work_keys_str_mv | AT ndekoupp anagentbasedmodelforcollaborativelearningtocombatantimicrobialresistanceproofofconceptbasedonbroilerproductioninsenegal AT drakea anagentbasedmodelforcollaborativelearningtocombatantimicrobialresistanceproofofconceptbasedonbroilerproductioninsenegal AT lomaxj anagentbasedmodelforcollaborativelearningtocombatantimicrobialresistanceproofofconceptbasedonbroilerproductioninsenegal AT dionemichelm anagentbasedmodelforcollaborativelearningtocombatantimicrobialresistanceproofofconceptbasedonbroilerproductioninsenegal AT fayea anagentbasedmodelforcollaborativelearningtocombatantimicrobialresistanceproofofconceptbasedonbroilerproductioninsenegal AT nsangoumdn anagentbasedmodelforcollaborativelearningtocombatantimicrobialresistanceproofofconceptbasedonbroilerproductioninsenegal AT korirluke anagentbasedmodelforcollaborativelearningtocombatantimicrobialresistanceproofofconceptbasedonbroilerproductioninsenegal AT sklare anagentbasedmodelforcollaborativelearningtocombatantimicrobialresistanceproofofconceptbasedonbroilerproductioninsenegal AT ndekoupp agentbasedmodelforcollaborativelearningtocombatantimicrobialresistanceproofofconceptbasedonbroilerproductioninsenegal AT drakea agentbasedmodelforcollaborativelearningtocombatantimicrobialresistanceproofofconceptbasedonbroilerproductioninsenegal AT lomaxj agentbasedmodelforcollaborativelearningtocombatantimicrobialresistanceproofofconceptbasedonbroilerproductioninsenegal AT dionemichelm agentbasedmodelforcollaborativelearningtocombatantimicrobialresistanceproofofconceptbasedonbroilerproductioninsenegal AT fayea agentbasedmodelforcollaborativelearningtocombatantimicrobialresistanceproofofconceptbasedonbroilerproductioninsenegal AT nsangoumdn agentbasedmodelforcollaborativelearningtocombatantimicrobialresistanceproofofconceptbasedonbroilerproductioninsenegal AT korirluke agentbasedmodelforcollaborativelearningtocombatantimicrobialresistanceproofofconceptbasedonbroilerproductioninsenegal AT sklare agentbasedmodelforcollaborativelearningtocombatantimicrobialresistanceproofofconceptbasedonbroilerproductioninsenegal |