The model uses simplification and assumptions regarding dilution factors for contamination spread in the field, potentially oversimplifying the complex dynamics of bacterial spread in various media (soil, water, manure). Assumptions about uniform spread and a 1cm depth might not accurately reflect real-world scenarios.
The study primarily considers dairy-based soil amendments, while poultry manure is more commonly used in US fields. This might not fully represent the risk associated with other types of manure.
Lack of Spatial Resolution
Preharvest contamination is modeled at the batch level, neglecting the spatial variability of contamination within a field. This simplification may not accurately represent contamination patterns and their impact on downstream processing and consumer exposure.
Focus on Open-Field Production
The model focuses on open-field romaine production, excluding other growing methods like greenhouses or vertical farms, limiting the generalizability of findings to these alternative systems.
Neglecting Consumer Waste
The model assumes complete consumption of romaine purchased by consumers, neglecting the portion lost to spoilage or waste. This can potentially overestimate the number of illnesses by disregarding a significant pathway of risk reduction.
Simplification of Microbial Behavior
The model makes simplifying assumptions about microbial behavior, such as uniform infectivity and the ability of each cell to cause illness. It does not fully account for strain-specific differences in virulence and host susceptibility, potentially affecting the accuracy of illness predictions.