拟议的框架,以使用食物传播疾病负担指标对低资源环境中的食品安全风险进行排名和优先考虑:埃塞俄比亚的一个案例研究
Barbara Kowalcyk1, Leon Gorris2, Janet Buffer3
1Center for Foodborne Illness Research and Prevention, The Ohio State University, Columbus, OH, USA; Translational Data Analytics Institute, The Ohio State University, Columbus, OH, USA; Milken Institute School of Public Health, George Washington University, Washington, DC, USA.
Journal of food protection
|May 3, 2025
概括
本研究提出了一个可适应的框架,用于在低资源环境中基于风险的食品安全决策. 它帮助政府优先考虑食品安全风险,并有效地分配资源来保护公共健康.
科学领域:
- 食品安全科学 食品安全科学
- 公共卫生政策 公共卫生政策
- 风险评估和风险管理
背景情况:
- 有效的食品安全管理依赖于基于风险的系统.
- 政府在实施这些系统时经常面临挑战,特别是在资源较少的环境中.
- 需要一个系统的方法来评估,排名和优先考虑食品传播危害.
研究的目的:
- 适应和实施一个基于风险的决策框架在低资源环境 (埃塞俄比亚).
- 让利益相关者参与确定食品安全优先事项,并为风险减轻策略提供信息.
- 提供一种系统的,基于证据的方法,用于在食品安全方面分配资源.
主要方法:
- 一个涉及埃塞俄比亚利益相关者的多阶段过程.
- 识别食物传播危害,并选择风险指标.
- 使用世卫组织数据和专家推的风险指标计算.
- 危险的排名和对食品组的归因.
- 确定风险优先级,并确定食品供应链中的控制点.
主要成果:
- 利益相关者确定了与埃塞俄比亚相关的关键食品安全优先事项和危险.
- 死亡率是决策的首选风险指标.
- 归因估计将危险与特定的食品组联系起来.
- 在四个食品供应链中确定了关键控制点以减轻风险.
结论:
- 开发的框架提供了一种系统的,基于证据的和可适应的方法,用于优先考虑公共部门在食品安全方面的资源.
- 该过程产生了证据,以加强监管系统,并支持国家食品安全战略.
- 实施可以导致更有效的资源分配,从农场到农场,改善公共卫生结果.
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