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The Canadian Food Inspection Agency is developing an Establishment-based Risk Assessment (ERA) model for commercial and on-farm mills involved in the manufacture, storage, packaging, labeling, or distribution of livestock feed (ERA– Feed Mill model). This model will help inform the allocation of inspection resources on the basis of feed safety risk, including animal health and food safety risk. In a previous study, 34 risk factors, grouped into inherent, mitigation, and compliance clusters, along with assessment criteria were selected. The objective of this current study was to estimate the relative risk (RR) of the 203 assessment criteria on the basis of the impact on feed safety to design an ERA–Feed Mill model algorithm. Furthermore, the intent of this study was to assess the maximum increase or decrease of risk obtained when multiple criteria belonging to a same cluster were identified in a specific feed mill. To do so, a two-round face-to-face expert elicitation was conducted with 28 Canadian feed experts. Results showed no significant association between respondent profiles (years of experience and work sector) and estimated RR. Uniformity of answers between experts improved between rounds. Criteria having the highest increase in risk (median RR ≥ 4) included the presence of materials prohibited to be fed to ruminants in a facility that produces ruminant feed, the presence of multiple livestock species on-site, and historical noncompliances related to the inspection of the feed mill’s process control and end-product control programs. Risk mitigation criteria having the highest impact on decreasing the risk were the implementation of feed safety certifications, the use of dedicated manufacturing lines (prohibited materials or medications), and having a hazard sampling plan in place for finished feed. The median RR assigned to each criterion and cluster will be used to build an algorithm of the Canadian Food Inspection Agency’s ERA–Feed Mill model. [ABSTRACT FROM AUTHOR]

Biosecurity is crucial for infectious disease prevention, more importantly in the absence of vaccination. The need for improving the implementation of biosecurity practices was highlighted in French duck farms following the 2016–2017 H5N8 Highly Pathogenic Avian Influenza (HPAI) epidemic. Farmers have multiple reasons for not implementing biosecurity practices: external (time, money) and internal (socio‐psychological). The purpose of this study was to determine how sets of socio‐psychological factors (i.e. knowledge on biosecurity and avian influenza transmission, attitudes, personality traits, social background) affect the adoption of on‐farm biosecurity practices. Biosecurity practices and socio‐psychological determinants were assessed during 127 duck farm visits, in South West France, using both questionnaires and on‐farm observations. Factorial analysis of mixed data (FAMD) and hierarchical clustering analysis (HCA) identified three groups of farmers with different socio‐psychological profiles: the first group was characterized by minimal knowledge, negative attitudes towards biosecurity, little social pressure and a low level of conscientiousness. The second group was characterized by more extensive experience in poultry production, higher stress and social pressure. The third group was characterized by less experience in poultry production, better knowledge and positive attitudes towards biosecurity, increased self‐confidence and orientation towards action. The first group had a significantly lower adoption of biosecurity measures than the two other groups. A better understanding of the factors involved in farmers' decision‐making could improve the efficiency of interventions aiming at improving and maintaining the level of on‐farm biosecurity in the duck industry. [ABSTRACT FROM AUTHOR]

Towards the continuous improvement of its inspection system, the Canadian Food Inspection Agency (CFIA) is developing an Establishment‐based Risk Assessment model for Hatcheries to allocate inspection resources based on the food safety risk associated with the Canadian hatcheries falling under its jurisdiction. The objectives of the current study were to identify and select critical food safety‐related risk factors that would be included in this model, with a main focus on Salmonella. A literature review was used to develop a comprehensive list of risk factors that could potentially contribute to the food safety risk attributed to Canadian hatcheries operating in all production streams (breeders, layers, broilers, turkeys, waterfowl and game birds). The development of this list used a selection process that was conducted according to the availability of data sources, the clarity of definition and the measurability of the selected risk factors. A panel of experts reviewed and adjusted the identified risk factors. A final list of 29 risk factors was generated; 20 originated from the scientific literature and nine from the expert panel. Risk factors were grouped in three clusters according to whether they pertained to the inherent risk (nine factors identified), risk mitigation (nine factors identified) or compliance of a hatchery with its preventive control plan and regulatory requirements (11 factors identified). Criteria for assessing each risk factor were defined based on common practices used in the Canadian hatchery industry. This comprehensive list of risk factors and criteria represents useful information to support the design and implementation of a Canadian risk assessment model for hatcheries, but could also be used by like‐minded food safety authorities. [ABSTRACT FROM AUTHOR]

The Canadian Food Inspection Agency (CFIA) is developing a risk assessment model for food establishments. Previous research on the significance of food safety risk factors determined by literature review and expert advice served as the bases for the current study, to further refine, discriminate and select the most important criteria to be included in the model. This process considered the availability of data sources, the clarity and measurability of the selected factors, undertook the elimination of lower-rated risk factors and grouped those with similar focus of attention, enabling the selection of a final list of risk factors for the model. A method of assessment for the remaining factors was then proposed to allow the quantification of individual risk factors within the model. From the 155 risk factors initially identified, 17 consolidated factors were kept and will be considered for the development of the risk assessment model. [ABSTRACT FROM AUTHOR]

The Canadian Food Inspection Agency (CFIA) is developing a risk assessment model aimed at quantifying the food safety risk associated with food establishments under its jurisdiction. To support the development of this model, the current study was undertaken to quantify the relative importance of selected criteria considered for inclusion in the model. This process also aimed at estimating the risk associated with specific clusters of criteria. Overall, 173 criteria were presented to experts during a two-round face-to-face expert elicitation to estimate their relative risk to human health. Twenty-nine Canadian experts participated in the expert elicitation including members from academia (31%), industry (31%), and government (38%). A good consensus on the relative risks given to most criteria and clusters of criteria was achieved, and experts assessed them as significantly affecting the risk related to a food establishment. None of the experts expressed opposition to the inclusion of any criterion or to the way they were clustered. Experts assigned a relative risk of ≤4, of 4–8, and of ≥8–67% (116), 29.5% (51), and 3.5% (6) of the 173 criteria identified, respectively. Those having the highest impact on establishment food safety risk were: historical food safety recalls and lack of compliance for the sanitation program, the control of critical control points, followed by the equipment maintenance and calibration program, and the general food hygiene program. Having a sampling plan with trend analysis and follow-up actions was considered as an important mitigation factor. As a result, the median values calculated for each criterion and cluster will be used in the new Canadian Food Inspection Agency Establishment-based risk assessment model to support the allocation of inspection resources based on risk. [ABSTRACT FROM AUTHOR]

Abstract: Biosecurity compliance is generally poor in all types of animal production systems around the world. Therefore, it is essential to define strategies to improve the implementation of biosecurity measures. This study evaluated the value of audits and visible cameras on compliance with biosecurity measures required when entering and exiting poultry barns on 24 poultry farms in Québec, Canada. Short term (first two weeks) and medium term (six months later) compliance were determined. Application of biosecurity measures was evaluated using hidden cameras. Video viewing revealed a total of 2748 visits by 259 different individuals. Results showed that bimonthly audits did not have any impact on medium term compliance. Visible cameras had a significant impact on changing boots (OR=9.6; 1.9–48.4) and respecting areas (contaminated vs. clean) during the visit (OR=14.5; 1.2–175.1) for the short term period. However, six months later, compliance declined and was no longer significantly different from controls. Duration and moment of the visit, presence of the grower or an observer, barn entrance design, number of barns, number of biosecurity measures requested, type of boots worn, gender and being a member of a grower''s family were significantly associated with biosecurity compliance. [Copyright &y& Elsevier]

Abstract: Biosecurity compliance is an issue in all types of animal production. Poor compliance is frequently related to lack of knowledge or comprehension. Human dimensions, such as personality and attitudes were also suggested as being related to compliance. As part of a larger study, personality traits, experience, education and training of employees, visitors and growers were evaluated to assess their relationship with their compliance with biosecurity measures when entering and exiting poultry barns. Biosecurity compliance was evaluated using hidden cameras. One hundred fourteen individuals involved in a total of 2379 visits on 23 poultry farms responded to a personality test. Results demonstrated that several determinants of compliance exist, and some are related to personality, experience and education. Three personality traits were significantly associated with compliance: responsibility, complexity and action-oriented. Such information has important implications for the selection of job applicants or task attribution and to enhance effectiveness of training programs. [Copyright &y& Elsevier]

Abstract: The effectiveness of biosecurity measures depends largely on the consistency of their applications by all those involved in poultry production. Unfortunately, poor biosecurity compliance has been reported repeatedly in poultry, as well in all other major animal productions. As part of a larger study, we conducted an investigation on eight poultry farms in Quebec, Canada, to evaluate compliance of existing biosecurity measures using hidden cameras. The objectives were to evaluate and describe the application of biosecurity measures when entering and exiting poultry barns. A total of 44 different mistakes were observed from 883 visits done by 102 different individuals. On average, four errors were recorded per visit. The maximum number of errors made by one individual during one visit was 14. People observed over several visits made on average six different errors. Twenty-seven out of the 44 errors (61.4%) were related to area delimitation (clean versus contaminated), six to boots (13.6%), five to hand washing (11.4%), three to coveralls (6.8%) and three to logbooks (6.8%). The nature and frequency of errors suggest a lack of understanding of biosecurity principles. There is thus a need to improve biosecurity training by making educational material available to all poultry personnel demonstrating why and how to apply biosecurity measures. [Copyright &y& Elsevier]

Decreasing the health burden caused by foodborne pathogens is challenging and it depends on the identification of the most significant hazards and food sources causing illnesses, so adequate mitigation strategies can be implemented. In this regard, the Canadian Food Inspection Agency (CFIA) has developed the Establishment-based Risk Assessment (ERA) model, so that a more effective and efficient allocation of resources can be assigned to the highest food safety risk areas. To assess risk, the model considers the type of food sub-products being manufactured by establishments and its scope is limited to the 17 most important foodborne pathogens representing the highest level of food safety risk. However, the information on source attribution at the sub-product level based on a structured approach is limited. To overcome this challenge, an expert elicitation was conducted in 2016 to estimate the relative contribution and associated certainty of each sub-product for 31 pathogen-commodity combinations to the total Canadian health burden associated with foodborne illnesses (expressed in DALYs). These DALYs represent 78% of the total Canadian health burden associated with federally-regulated food commodities considered within the model. A total of 49 Canadian experts recruited using a "snow ball" sampling strategy participated in the study by completing an electronic survey. Results of the elicitation displayed variable levels of health burden allocation between the pathogens and the different commodity sub-products. Assessment of the certainty levels showed some combinations being evaluated with more confidence (e.g., Campylobacter and eggs/poultry sub-products) than others, where a bimodal distribution of certainty was observed (e.g., Toxoplasma in pork sub-products). Furthermore, no participant raised concerns on the food classification scheme, suggesting their agreement with the proposed sub-products categorization of the elicitation. Relative contribution estimates will be included in the CFIA ERA model and used to enhance its applicability for risk prioritization and effective resource allocation during food establishment inspections. While substantial uncertainty around the central tendency estimates was found, these estimates provide a good basis for regulatory oversight and public health policy. • Food source attribution is key to risk-based prioritization to enhance public health. • This study estimates the Canadian health burden for 31 pathogen-commodity combinations. • Further research is needed for commodities for which a low mean level of certainty was observed. • The proposed food categorization scheme can help prioritize oversight and surveillance. [ABSTRACT FROM AUTHOR]

Simple Summary: In 2019, the Canadian Food Inspection Agency started the development of a risk assessment model for regulated inedible rendering plants in Canada that manufacture ingredients for use in livestock feed. The model is designed to assess the level of risk of each rendering plant to the health of livestock consuming the products used as feed as well as the health of humans eating food products derived from these animals. The output of the model will inform the risk-based allocation of the agency's inspection resources. The aim of the present study was to identify and select factors associated with rendering plant activities to be included in the risk assessment model based on the scientific literature and expert advice. A final list of 32 factors assessed by 179 evaluation criteria according to rendering practices was selected for inclusion in the model and will be used for the next development step, which will estimate the relative contribution of each criterion to the overall risk of a rendering plant. Once completed, this model will provide a systematic and evidence-based approach to help manage the animal and human health risks in the rendering sector. The Canadian Food Inspection Agency (CFIA) is developing an establishment-based risk assessment model to categorize rendering plants that produce livestock feed ingredients (ERA-Renderer model) according to animal and human health risks (i.e., feed safety risks) and help in determining the allocation of inspection resources based on risk. The aim of the present study was to identify and select feed-safety-related factors and assessment criteria for inclusion in the ERA-Renderer model. First, a literature review was performed to identify evidence-based factors that impact the feed safety risk of livestock feed during its rendering processes. Secondly, a refinement process was applied to retain only those that met the inclusion conditions, such as data availability, lack of ambiguity, and measurability. Finally, an expert panel helped in selecting factors and assessment criteria based on their knowledge and experience in the rendering industry. A final list of 32 factors was developed, of which 4 pertained to the inherent risk of a rendering plant, 8 were related to risk mitigation strategies, and 20 referred to the regulatory compliance of a rendering plant. A total of 179 criteria were defined to assess factors based on practices in the Canadian rendering industry. The results of this study will be used in the next step of the model development to estimate the relative risks of the assessment criteria considering their impact on feed safety. Once implemented, the CFIA's ERA-Renderer model will provide an evidence-based, standardized, and transparent approach to help manage the feed safety risks in Canada's rendering sector. [ABSTRACT FROM AUTHOR]

The safety of livestock feed is recognized worldwide as a prerequisite for the protection of animal and human health. In this context, the Canadian Food Inspection Agency is developing an Establishment-based Risk Assessment model for livestock feed mills (ERA-Feed Mill) to assist in the allocation of inspection resources based on feed safety risk. The objectives of the present study were to identify and select animal health and food safety-related risk factors along with their assessment criteria, pertaining to Canadian feed mill practices, to be included in the ERA-Feed Mill model. To do so, a review of the scientific literature and consultations with feed experts were conducted. A final list of 34 risk factors was generated, 21 identified from the scientific literature and 13 from feed expert advice. Risk factors were grouped into three clusters: inherent risk factors, mitigation factors and compliance factors for which 4, 10 and 20 factors were identified, respectively. Criteria for quantitatively assessing each risk factor were defined based on common practices found in the Canadian feed industry. These findings contributed to the initial steps of the CFIA's ERA-Feed Mill model development. By assessing the feed safety risk factors related to feed mills in Canada, this tool will help inform the CFIA on the level of oversight required to manage these risks, and will contribute to the production and maintenance of healthy livestock and the production of safe food. • A risk assessment model for commercial and on-farm feed mills is being developed. • This model covers both animal health and food safety risks related to feed mills. • 34 risk factors were generated based on scientific literature and expert advice. • Assessment criteria were defined based on practices found in the feed industry. • Results will support the allocation of inspection resources based on risk. [ABSTRACT FROM AUTHOR]