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A Proposed Framework for Ranking and Prioritizing Food Safety Risks in Low Resource Settings Using Foodborne Disease
Barbara Kowalcyk1, Leon Gorris2, Janet Buffer3
1Center for Foodborne Illness Research and Prevention, The Ohio State University, Columbus, Ohio, USA; Translational Data Analytics Institute, The Ohio State University, Columbus, Ohio, USA; Milken Institute School of Public Health, George Washington University, Washington, District of Columbia, USA.
This study presents a adaptable framework for risk-based food safety decision-making in low-resource settings. It helps governments prioritize food safety risks and allocate resources effectively to protect public health.
Area of Science:
- Food safety science
- Public health policy
- Risk assessment and management
Background:
- Effective food safety management relies on risk-based systems.
- Governments often face challenges in implementing these systems, especially in low-resource settings.
- A systematic approach is needed to assess, rank, and prioritize foodborne hazards.
Purpose of the Study:
- To adapt and implement a risk-based decision-making framework in a low-resource setting (Ethiopia).
- To engage stakeholders in identifying food safety priorities and informing risk mitigation strategies.
- To provide a systematic, evidence-based method for resource allocation in food safety.
Main Methods:
- A multiphase process involving Ethiopian stakeholders.
- Identification of foodborne hazards and selection of risk metrics.
- Risk metric calculation using WHO data and expert elicitation.
- Hazard ranking and attribution to food groups.
- Risk prioritization and identification of control points in food supply chains.
Main Results:
- Stakeholders identified key food safety priorities and hazards relevant to Ethiopia.
- Mortality was the preferred risk metric for decision-making.
- Attribution estimates linked hazards to specific food groups.
- Key control points in four food supply chains were identified for risk mitigation.
Conclusions:
- The developed framework offers a systematic, evidence-based, and adaptable method for prioritizing public sector resources in food safety.
- The process generates evidence to strengthen regulatory systems and support national food safety strategies.
- Implementation can lead to more efficient resource allocation from farm to fork, improving public health outcomes.
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