一个基于代理的合作学习模型来打击抗菌素耐药性:基于塞内加尔肉生产的概念证明
Paul Python Ndekou1, Archie Drake2, Jake Lomax3
1Cheikh Anta Diop University, Dakar 10700, Senegal.
Science in One Health
|July 30, 2024
概括
本研究介绍了一种基于代理的模型 (ABM),用于模拟塞内加尔家禽部门的抗菌素耐药性 (AMR). 该模型有助于制定动物卫生和食品系统政策,解决生产者抗菌剂使用和感染控制问题.
科学领域:
- 一个健康 一个健康
- 流行病学 流行病学
- 计算机建模 计算建模
背景情况:
- 抗菌素耐药性 (AMR) 是一个重大的全球健康挑战.
- 有效的政策制定需要理解食品系统内的复杂相互作用.
- 现有的模型往往缺乏对生产者行为和经济激励的关注.
研究的目的:
- 为模拟塞内加尔家禽生产中的AMR开发一种基于概念验证剂 (ABM) 的模型.
- 通过整合生产者和兽医的观点,支持对动物健康和食品系统的政策制定.
- 评估抗微生物使用和感染预防策略的经济影响.
主要方法:
- 开发一种基于代理的模型 (ABM),模拟肉生产周期.
- 纳入生产者和兽医对抗菌剂使用和感染控制的观点.
- 对实施控制战略的直接经济激励因素的分析.
主要成果:
- 该ABM成功模拟了塞内加尔家禽生产中的AMR动态.
- 该模型提供了对不同抗微生物药物管理策略的经济影响的见解.
- 初步发现表明,ABM有潜力为政策决策提供信息.
结论:
- 基于代理的建模为塞内加尔和西非的AMR政策制定提供了灵活的工具.
- 参与式方法可以提高ABM的实用性,以解决食品系统中的AMR问题.
- 通过模拟食品系统参与者行为,特别是LMICs,ABM可以促进反AMR倡议.
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