Challenge: The challenge was multifaceted: not only to provide independent validation of the already proven efficacy of this innovative non-antibiotic solution but also to unravel its mechanism of action across different environmental conditions. The complexity of the data, coupled with the imperative of providing statistically sound evidence of the product’s effect, demanded an approach that went beyond conventional methodologies.

Solution: To navigate these complexities, we employed a sophisticated blend of advanced statistical analysis and probabilistic modelling. This choice was driven by the need to unearth patterns not readily visible through traditional means, particularly in understanding how the product performed in high-risk scenarios relating to pathogen concentrations. This methodological approach allowed us to validate the product’s efficacy.

Outcome: Our analysis led to groundbreaking findings. Our analysis showed that the product was exceptionally effective, especially in environments with heightened infection risks. A novel insight from our probabilistic approach evidence showing significant reduction in the presence of the pathogen in treated birds critically when assessing infections at the limits of detection using standard biological counting methods – a critical factor often overlooked in standard analyses. These birds showed a markedly lower prevalence suggesting that the product could significantly mitigate environmental contamination risks.