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Low pathogenic avian influenza (LPAI) caused by H5 and H7 viruses is considered a threatening disease for poultry production due to the possibility of prolonged undetected virus circulation in a poultry flock and its potential to mutate to highly pathogenic avian influenza (HPAI). The occurrence of HPAI may have devastating impact on the poultry industry and has serious economic consequences. The possibility of LPAI virus (LPAIV) being introduced into Poland via import of live poultry from EU countries was considered. The main aim of the study was to quantitatively assess the probability of LPAIV H5 and H7 introduction into Poland (PLPAI) via this pathway, to evaluate the relative contribution of exporting countries and species of poultry to this probability and to present the spatial distribution of the introduction probability in Poland. To this end, a stochastic multilevel binomial risk model, taking into account uncertainty and variability of input parameter values, was developed. The results of this model indicate that the mean annual probability of LPAIV H5 or H7 introduction into Poland is 0.088 [95 % uncertainty interval: 0.0575, 0.128], which corresponds to, on average, one outbreak every 11 years. The countries contributing most to this probability are Germany, Czech Republic and Denmark. Importations of ducks, chickens and turkeys contribute most to PLPAI, whereas importations of geese and guinea fowl represent a minor risk. The probability of LPAIV introduction is not equally distributed across Poland with the majority of counties having a high probability of LPAIV introduction being located in the Western part of the country. The results of this study can be used to support decision makers on targeted prevention or risk-based surveillance strategies for LPAI.

This Technical Report describes the activities developed in the scope of the EU‐FORA Fellowship, within the work programme of risk assessment (RA) of exotic disease incursion and spread, developed at Wageningen Bioveterinary Research (WBVR). The programme focused on the work carried out in the Generic risk assessment for introduction of animal diseases (G‐RAID) project, which brings together a number of different generic RA tools from multiple European partners. The aim of the fellowship was to gain understanding of veterinary import risk assessment by using different RA tools and to learn how different algorithms can be used to calculate disease incursion risks. G‐RAID's tools cover a wide range of RA methodologies; from purely qualitative, to semi‐quantitative and fully stochastic quantitative methods, which allowed the fellow to understand a variety of algorithms used to produce the final risk estimate. The fellowship programme provided the fellow with the chance to learn in detail about how generic RAs are performed across Europe, understanding how to deal with the uncertainty and variability involved in RAs and the potential problems of data availability and reliability. The fellow made an inventory of publicly available databases on disease occurrence and international trade that could be used for import RA and assessed their quality and usefulness for the different generic RA tools. The programme also provided the fellow the opportunity to perform several import risk assessments using the RA tools of G‐RAID. She completed a RA on African swine fever using the MINTRISK model developed by WBVR. Furthermore, she assessed the risk of foot and mouth disease introduction using the Rapid Risk Assessment Tool (RRAT) model developed by WBVR and the COMPARE model developed by the Animal and Plant Health Agency (APHA). To this end, the fellow completed a short‐term visit to APHA, enabling her to have additional training in quantitative RA and to expand her professional network in this area.

Predictive assessment of possible risks of FMD introduction from neighboring countries to the territory of eight RF Federal Districts was presented. The risk quantitative parameters were determined by experts, specialists in the field of FMD epidemiology. To implement the expert survey method most significant routes of infection introduction to the RF were determined. The experts performed FMD introduction risk assessment for each federal district and determined its score. As a result of statistical analysis the greatest probability was determined for the Far-Eastern Federal District. The North Caucasus and Siberian Federal Okrugs demonstrate lower probability. Basing on the obtained data the major routes of FMD introduction to the territory of the country were determined. Preventive vaccination of susceptible animal population is carried out in order to prevent FMD occurrence and spread in the zones at risk of its introduction. It is aimed at FMD outbreak prevention in the specified RF Subjects by inducing protective immunity in at least 81% of immunized cattle and at least 95% of immunized pigs.

Early detection of emerging carbapenem-resistant Enterobacteriaceae (CPE) in food-producing animals is essential to control the spread of CPE. We assessed the risk of CPE introduction from imported livestock, livestock feed, companion animals, hospital patients, and returning travelers into livestock farms in The Netherlands, including (1) broiler, (2) broiler breeder, (3) fattening pig, (4) breeding pig, (5) farrow-to-finish pig, and (6) veal calf farms. The expected annual number of introductions was calculated from the number of farms exposed to each CPE source and the probability that at least one animal in an exposed farm is colonized. The total number of farms with CPE colonization was estimated to be the highest for fattening pig farms, whereas the probability of introduction for an individual farm was the highest for broiler farms. Livestock feed and imported livestock are the most likely sources of CPE introduction into Dutch livestock farms. Sensitivity analysis indicated that the number of fattening pig farms determined the number of high introductions in fattening pigs from feed, and that uncertainty on CPE prevalence impacted the absolute risk estimate for all farm types. The results of this study can be used to inform risk-based surveillance for CPE in livestock farms.

The worldwide trade in exotic animals is a potential moderator for the global dispersion of infectious disease agents. Better insight into the pathogens that could be introduced by these trade flows can help to target surveillance efforts. The aim of this study was to evaluate the animal health risk for the Dutch livestock sector associated with the legal importation of exotic mammals, birds, reptiles, and amphibians originating from third countries (i.e. non-European Union member states). An inventory was made of exotic animals that were legally shipped to the Netherlands in the period 2013-2014 classified according to taxonomy and geographic origin, the results of which were used to assess the associated animal health risk. In this period, a total of 2.1 ×105 exotic animals were imported into the Netherlands from 25 different countries. The majority of these animals were reptiles (94%), whereas birds and mammals constituted < 1% of all imports. Trade figures were linked with information on worldwide occurrence of diseases and susceptibility of imported species to diseases to identify those exotic diseases that could potentially be introduced by these trade flows. This resulted in a selection of nine diseases for which the animal health risk due to the legal importation of exotic animals was assessed semi-quantitatively using proxy variables to score the probability of introduction and the expected impact of disease. The estimated introduction risk for the selected diseases varied from very low to moderate. Whereas importation of exotic animals might result in introduction of some diseases, the expected consequences for the livestock sector are expected to be limited. The diseases with the highest risk score were salmonellosis (exotic strains) and infection with Salmonella arizonae. Furthermore, the arboviral diseases Japanese encephalitis, Eastern equine encephalitis, and Western equine encephalitis might pose a risk due to the potential role of reptiles and amphibians as reservoir hosts for these diseases and the large numbers of these animals being imported by the Netherlands.

Altres ajuts: CoVetLab/2017-5 Altres ajuts: GP/EFSA/AFSCO/2017/01 Altres ajuts: DMA/KB-21-006-028 In recent years, several generic risk assessment (RA) tools have been developed that can be applied to assess the incursion risk of multiple infectious animal diseases allowing for a rapid response to a variety of newly emerging or re-emerging diseases. Although these tools were originally developed for different purposes, they can be used to answer similar or even identical risk questions. To explore the opportunities for cross-validation, seven generic RA tools were used to assess the incursion risk of African swine fever (ASF) to the Netherlands and Finland for the 2017 situation and for two hypothetical scenarios in which ASF cases were reported in wild boar and/or domestic pigs in Germany. The generic tools ranged from qualitative risk assessment tools to stochastic spatial risk models but were all parameterized using the same global databases for disease occurrence and trade in live animals and animal products. A comparison of absolute results was not possible, because output parameters represented different endpoints, varied from qualitative probability levels to quantitative numbers, and were expressed in different units. Therefore, relative risks across countries and scenarios were calculated for each tool, for the three pathways most in common (trade in live animals, trade in animal products, and wild boar movements) and compared. For the 2017 situation, all tools evaluated the risk to the Netherlands to be higher than Finland for the live animal trade pathway, the risk to Finland the same or higher as the Netherlands for the wild boar pathway, while the tools were inconclusive on the animal products pathway. All tools agreed that the hypothetical presence of ASF in Germany increased the risk to the Netherlands, but not to Finland. The ultimate aim of generic RA tools is to provide risk-based evidence to support risk managers in making informed decisions to mitigate the incursion risk of infectious animal diseases. The case study illustrated that conclusions on the ASF risk were similar across the generic RA tools, despite differences observed in calculated risks. Hence, it was concluded that the cross-validation contributed to the credibility of their results.

In intra-EU trade, the health status of animals is warranted by issuing a health certificate after clinical inspection in the exporting country. This certificate cannot provide guarantee of absence of infection, especially not for diseases with a long incubation period and no overt clinical signs such as bovine tuberculosis (bTB). The Netherlands are officially free from bTB since 1999. However, frequent reintroductions occurred in the past 15 years through importation of infected cattle. Additional testing (AT) of imported cattle could enhance the probability of detecting an imported bTB infection in an early stage. The goal of this study was to evaluate the effectiveness of risk-based AT for bTB in cattle imported into The Netherlands. A generic stochastic import risk model was developed that simulates introduction of infection into an importing country through importation of live animals. Main output parameters are the number of infected animals that is imported (Ninf), the number of infected animals that is detected by testing (Ndet), and the economic losses incurred by importing infected animals (loss). The model was parameterized for bTB. Model calculations were optimized to either maximize Ndet or to minimize loss. Model results indicate that the risk of bTB introduction into The Netherlands is very high. For the current situation in which Dutch health checks on imported cattle are limited to a clinical inspection of a random sample of 5–10% of imported animals, the calculated annual Ninf = 99 (median value). Random AT of 8% of all imported cattle results in Ndet = 7 (median value), while the median Ndet = 75 if the sampling strategy for AT is optimized to maximize Ndet. However, in the latter scenario, loss is more than twice as large as in the current situation, because only calves are tested for which cost of detection is higher than the expected gain of preventing a possible outbreak. When optimizing the sampling strategy for AT to minimize loss, only breeding and production cattle are selected for AT resulting in Ndet = 1 (median value). Loss is; however, reduced by 75% if compared to the current situation. We conclude that the effectiveness of AT can greatly be improved by risk-based sampling. The optimal sampling strategy for risk-based AT for bTB is highly dependent on the objective of AT. If economic losses are to be contained, AT should focus on breeding and production cattle originating from high-risk countries.