A new approach and insights on modelling the impact of production diseases on dairy cow welfare.

Animal welfare is becoming an important consideration in animal health-related decision-making. Integrating considerations of animal welfare into the decision-making process of farmers involves recognising the significance of health disorder impacts in relation to animal welfare. Yet little research quantifies the impact, making it difficult to include animal welfare in the animal health decision-making process. Quantifying the impact of health disorders on animal welfare is incredibly challenging due to empirical animal-based data collection constraints. An approach to circumvent these constraints is to rely on expert knowledge whereby perceived welfare impairment weights are indicative of the negative welfare effect. In this research, we propose an expertise-based method to quantify the perceived impact of sub-optimal mobility (SOM) on the welfare of dairy cows, because of its welfare importance. We first quantified perceived welfare impairment weights of SOM by eliciting expert knowledge using adaptive conjoint analysis (ACA). Second, using the perceived welfare impairment weights, we derived the perceived welfare disutility (i.e., perceived negative welfare effect) of mobility scores 1-5 (1 = optimal mobility, 5 = severely impaired mobility). Third, using the perceived welfare disutility per mobility score, we quantified the perceived welfare impact at case- and herd-level of SOM for different SOM severity. Results showed that perceived welfare disutility increased with each increase in mobility score. However, the perceived welfare impact of SOM cases with lower mobility scores was higher compared to SOM cases with higher mobility scores. This was because of the longer-lasting duration of the SOM cases with lower mobility scores. Moreover, the perceived herd-level welfare impact was largely due to SOM cases with lower mobility scores because of the longer duration and more frequent incidence compared to the SOM cases with higher mobility scores. These results entail that better welfare of dairy cows with respect to SOM can be achieved if lower mobility scores are detected and treated sooner. Our research demonstrates a novel approach that quantifies the perceived impact of health disorders on animal welfare when empirical evidence is limited.

Invited review: Toward a common language in data-driven mastitis detection research.

Sensor technologies for mastitis detection have resulted in the collection and availability of a large amount of data. As a result, scientific publications reporting mastitis detection research have become less driven by approaches based on biological assumptions and more by data-driven modeling. Most of these approaches try to predict mastitis events from (combinations of) raw sensor data to which a wide variety of methods are applied originating from machine learning and classical statistical approaches. However, an even wider variety in terminologies is used by researchers for methods that are similar in nature. This makes it difficult for readers from other disciplines to understand the specific methods that are used and how these differ from each other. The aim of this paper was to provide a framework (filtering, transformation, and classification) for describing the different methods applied in sensor data-based clinical mastitis detection research and use this framework to review and categorize the approaches and underlying methods described in the scientific literature on mastitis detection. We identified 40 scientific publications between 1992 and 2020 that applied methods to detect clinical mastitis from sensor data. Based on these publications, we developed and used the framework and categorized these scientific publications into the 2 data processing techniques of filtering and transformation. These data processing techniques make raw data more amendable to be used for the third step in our framework, that of classification, which is used to distinguish between healthy and nonhealthy (mastitis) cows. Most publications (n = 34) used filtering or transformation, or a combination of these 2, for data processing before classification, whereas the remaining publications (n = 6) classified the observations directly from raw data. Concerning classification, applying a simple threshold was the most used method (n = 19 publications). Our work identified that within approaches several different methods and terminologies for similar methods were used. Not all publications provided a clear description of the method used, and therefore it seemed that different methods were used between publications, whereas in fact just a different terminology was used, or the other way around. This paper is intended to serve as a reference for people from various research disciplines who need to collaborate and communicate efficiently about the topic of sensor-based mastitis detection and the methods used in this context. The framework used in this paper can support future research to correctly classify approaches and methods, which can improve the understanding of scientific publication. We encourage future research on sensor-based animal disease detection, including that of mastitis detection, to use a more coherent terminology for methods, and clearly state which technique (e.g., filtering) and approach (e.g., moving average) are used. This paper, therefore, can serve as a starting point and further stimulates the interdisciplinary cooperation in sensor-based mastitis research.

Attribution of human infections with Shiga toxin-producing Escherichia coli (STEC) to livestock sources and identification of source-specific risk factors, The Netherlands (2010-2014).

Shiga toxin-producing Escherichia coli (STEC) is a zoonotic pathogen of public health concern whose sources and transmission routes are difficult to trace. Using a combined source attribution and case-control analysis, we determined the relative contributions of four putative livestock sources (cattle, small ruminants, pigs, poultry) to human STEC infections and their associated dietary, animal contact, temporal and socio-econo-demographic risk factors in the Netherlands in 2010/2011-2014. Dutch source data were supplemented with those from other European countries with similar STEC epidemiology. Human STEC infections were attributed to sources using both the modified Dutch model (mDM) and the modified Hald model (mHM) supplied with the same O-serotyping data. Cattle accounted for 48.6% (mDM) and 53.1% (mHM) of the 1,183 human cases attributed, followed by small ruminants (mDM: 23.5%; mHM: 25.4%), pigs (mDM: 12.5%; mHM: 5.7%) and poultry (mDM: 2.7%; mHM: 3.1%), whereas the sources of the remaining 12.8% of cases could not be attributed. Of the top five O-serotypes infecting humans, O157, O26, O91 and O103 were mainly attributed to cattle (61%-75%) and O146 to small ruminants (71%-77%). Significant risk factors for human STEC infection as a whole were the consumption of beef, raw/undercooked meat or cured meat/cold cuts. For cattle-attributed STEC infections, specific risk factors were consuming raw meat spreads and beef. Consuming raw/undercooked or minced meat were risk factors for STEC infections attributed to small ruminants. For STEC infections attributed to pigs, only consuming raw/undercooked meat was significant. Consuming minced meat, raw/undercooked meat or cured meat/cold cuts were associated with poultry-attributed STEC infections. Consuming raw vegetables was protective for all STEC infections. We concluded that domestic ruminants account for approximately three-quarters of reported human STEC infections, whereas pigs and poultry play a minor role and that risk factors for human STEC infection vary according to the attributed source.

Assessing the economic impact of an endemic disease: the case of mastitis.

A large part of the world's resources are used to produce animal products. Efficient use of these resources is important to improve social well-being. Endemic animal diseases decrease production efficiency, because they require a higher level of input to produce the same amount of output or result in a lower output with the same amount of input. The optimal level of production with and without disease differs from farm to farm and depends on varying economic circumstances. Given these difficulties, making an accurate theoretical estimation of the economic impact of endemic diseases is challenging. Current approaches towards the economic assessment of endemic diseases are, therefore, quite pragmatic. For on-farm decision-making, the total costs consist of failure costs and preventive costs. Failure costs are associated with production losses (i.e. decreases in milk production, mortality and culling), treatment costs (i.e. veterinary treatment, drugs, and discarded milk) and the use of other resources associated with the occurrence of disease (i.e. increased labour costs). Preventive costs are associated with preventive measures in terms of equipment, consumables (e.g. diagnostics and chemicals) and the use of other resources to prevent diseases (i.e. increased labour). There is a substitution relationship between failure costs and preventive costs. That means that, in order to maximise profit at the farm level, the amount of resources invested in prevention should be chosen in such a way that total costs are minimised. The most studied endemic disease in animal production is mastitis. Most publications on mastitis only assess failure costs, and studies on assessing the total costs and best methods to determine an optimal level of prevention are scarce. Future challenges lie in researching frameworks that can assist decision-makers to establish optimal prevention levels for endemic diseases.

Une grande partie des ressources mondiales est consacrée à la production de produits d'origine animale. Il est important d'utiliser rationnellement ces ressources si l'on veut améliorer le bien-être des sociétés. Les maladies animales endémiques réduisent la rentabilité des élevages car en cas de maladie il faut plus d'intrants pour maintenir le niveau de production, tandis que celui-ci décroît si la quantité d'intrants demeure inchangée. Le niveau optimal de production avec ou sans maladie varie d'une exploitation à l'autre et dépend du contexte et des fluctuations économiques. Ces facteurs complexes expliquent la difficulté de réaliser une estimation théorique exacte de l'impact économique des maladies endémiques. En conséquence, les approches actuelles en matière d'évaluation économique des maladies animales privilégient le pragmatisme. Au niveau décisionnel des élevages, les coûts totaux englobent les pertes d'exploitation et les coûts de la prévention. Les pertes d'exploitation sont liées aux pertes de production (baisse de la production de lait, mortalité et animaux sacrifiés), au coût des traitements (prestations vétérinaires, médicaments, perte de lait en raison des traitements) et à l'utilisation d'autres ressources en lien avec l'apparition de la maladie (augmentation des coûts de main-d'oeuvre). Les coûts de prévention sont liés aux mesures de prévention et couvrent les équipements, les consommables (les réactifs et matériels de diagnostic et les produits chimiques) et l'utilisation d'autres ressources pour prévenir les maladies (augmentation des coûts de maind'oeuvre). Les pertes d'exploitation et les coûts de prévention sont mutuellement substituables. Ainsi, pour optimiser la rentabilité à l'échelle de la ferme, il conviendra de choisir le montant des ressources investies dans la prévention de manière à minimiser les coûts totaux. La mammite est la maladie endémique la plus étudiée en production animale. La plupart des publications sur la mammite évaluent uniquement les coûts de perte d'exploitation, peu d'études ayant été consacrées à l'évaluation des coûts totaux ou aux méthodes permettant de déterminer le niveau optimal de la prévention. Les défis futurs consisteront à élaborer des cadres permettant d'aider les décideurs à déterminer les niveaux optimaux de la prévention des maladies endémiques.

Buena parte de los recursos del mundo se destinan a la obtención de productos de origen animal. Para alcanzar mayores cotas de bienestar social es importante pues utilizar esos recursos de modo eficiente. Las enfermedades animales endémicas merman la eficiencia productiva porque exigen una mayor cantidad de insumos para obtener el mismo nivel de producción o, alternativamente, reducen la producción obtenida por una misma cantidad de insumos. El nivel óptimo de producción, en presencia y en ausencia de enfermedades, difiere de una explotación a otra y depende de parámetros económicos que son variables. Estas dificultades explican por qué resulta tan arduo hacer una estimación teórica precisa del impacto económico de enfermedades endémicas. De ahí que los métodos actuales para evaluar en clave económica las enfermedades endémicas revistan un carácter bastante empírico. En lo que concierne a las decisiones adoptadas en el ámbito de la explotación, el costo total está formado por las pérdidas de explotación y los costos de prevención. Las pérdidas de explotación vienen determinadas por las pérdidas productivas (menor producción de leche, mortalidad y animales sacrificados), el costo de los tratamientos (servicios veterinarios, medicamentos y leche desechada a consecuencia del tratamiento) y el uso de otros recursos ligados a la aparición de la enfermedad (mayores costes laborales). Los costos de prevención, que son aquellos vinculados a las medidas profilácticas, corresponden al equipo empleado, los bienes consumibles (como productos químicos o de diagnóstico) y la utilización de otros recursos para prevenir enfermedades (mayores costes laborales). Existe una relación de sustitución entre las pérdidas de explotación y los costos de prevención. Ello significa que, para que una explotación rinda el máximo beneficio, conviene fijar la cantidad de recursos invertidos en prevención de tal manera que ello reduzca al mínimo los costos totales. La enfermedad endémica más estudiada en producción animal es la mastitis. En la mayoría de las publicaciones que se le han dedicado solo se evalúan las pérdidas de explotación, y en cambio escasean los estudios encaminados a evaluar los costos totales o a definir el mejor método para determinar el nivel óptimo de prevención. De cara al futuro, se trata de buscar modelos que puedan ayudar a las instancias decisorias a fijar los niveles óptimos de prevención de enfermedades endémicas.

Economic modelling of grazing management against gastrointestinal nematodes in dairy cattle.

Grazing management (GM) interventions, such as reducing the grazing time or mowing pasture before grazing, have been proposed to limit the exposure to gastrointestinal (GI) nematode infections in grazed livestock. However, the farm-level economic effects of these interventions have not yet been assessed. In this paper, the economic effects of three GM interventions in adult dairy cattle were modelled for a set of Flemish farms: later turnout on pasture (GM1), earlier housing near the end of the grazing season (GM2), and reducing the daily grazing time (GM3). Farm accountancy data were linked to Ostertagia ostertagi bulk tank milk ELISA results and GM data for 137 farms. The economic effects of the GM interventions were investigated through a combination of efficiency analysis and a whole-farm simulation model. Modelling of GM1, GM2 and GM3 resulted in a marginal economic effect of € 8.36, € -9.05 and € -53.37 per cow per year, respectively. The results suggest that the dairy farms can improve their economic performance by postponing the turnout date, but that advancing the housing date or reducing daily grazing time mostly leads to a lower net economic farm performance. Overall, the GM interventions resulted in a higher technical efficiency and milk production but these benefits were offset by increased feed costs as a result of higher maintenance and cultivation costs. Because the results differed highly between farms, GM interventions need to be evaluated at the individual level for appropriate decision support.

The relation between input-output transformation and gastrointestinal nematode infections on dairy farms.

Efficiency analysis is used for assessing links between technical efficiency (TE) of livestock farms and animal diseases. However, previous studies often do not make the link with the allocation of inputs and mainly present average effects that ignore the often huge differences among farms. In this paper, we studied the relationship between exposure to gastrointestinal (GI) nematode infections, the TE and the input allocation on dairy farms. Although the traditional cost allocative efficiency (CAE) indicator adequately measures how a given input allocation differs from the cost-minimising input allocation, they do not represent the unique input allocation of farms. Similar CAE scores may be obtained for farms with different input allocations. Therefore, we propose an adjusted allocative efficiency index (AAEI) to measure the unique input allocation of farms. Combining this AAEI with the TE score allows determining the unique input-output position of each farm. The method is illustrated by estimating efficiency scores using data envelopment analysis (DEA) on a sample of 152 dairy farms in Flanders for which both accountancy and parasitic monitoring data were available. Three groups of farms with a different input-output position can be distinguished based on cluster analysis: (1) technically inefficient farms, with a relatively low use of concentrates per 100 l milk and a high exposure to infection, (2) farms with an intermediate TE, relatively high use of concentrates per 100 l milk and a low exposure to infection, (3) farms with the highest TE, relatively low roughage use per 100 l milk and a relatively high exposure to infection. Correlation analysis indicates for each group how the level of exposure to GI nematodes is associated or not with improved economic performance. The results suggest that improving both the economic performance and exposure to infection seems only of interest for highly TE farms. The findings indicate that current farm recommendations regarding GI nematode infections could be improved by also accounting for the allocation of inputs on the farm.

Forensic analysis of explosions: Inverse calculation of the charge mass.

Forensic analysis of explosions consists of determining the point of origin, the explosive substance involved, and the charge mass. Within the EU FP7 project Hyperion, TNO developed the Inverse Explosion Analysis (TNO-IEA) tool to estimate the charge mass and point of origin based on observed damage around an explosion. In this paper, inverse models are presented based on two frequently occurring and reliable sources of information: window breakage and building damage. The models have been verified by applying them to the Enschede firework disaster and the Khobar tower attack. Furthermore, a statistical method has been developed to combine the various types of data, in order to determine an overall charge mass distribution. In relatively open environments, like for the Enschede firework disaster, the models generate realistic charge masses that are consistent with values found in forensic literature. The spread predicted by the IEA tool is however larger than presented in the literature for these specific cases. This is also realistic due to the large inherent uncertainties in a forensic analysis. The IEA-models give a reasonable first order estimate of the charge mass in a densely built urban environment, such as for the Khobar tower attack. Due to blast shielding effects which are not taken into account in the IEA tool, this is usually an under prediction. To obtain more accurate predictions, the application of Computational Fluid Dynamics (CFD) simulations is advised. The TNO IEA tool gives unique possibilities to inversely calculate the TNT equivalent charge mass based on a large variety of explosion effects and observations. The IEA tool enables forensic analysts, also those who are not experts on explosion effects, to perform an analysis with a largely reduced effort.

Sporulation environment of emetic toxin-producing Bacillus cereus strains determines spore size, heat resistance and germination capacity.

AIM: Heat resistance, germination and outgrowth capacity of Bacillus cereus spores in processed foods are major factors in causing the emetic type of gastrointestinal disease. In this study, we aim to identify the impact of different sporulation conditions on spore properties of emetic toxin-producing B. cereus strains. METHODS AND RESULTS: Spore properties of eight different emetic toxin-producing strains were tested, with spores produced in five different sporulation conditions: aerated liquid cultures, air-liquid biofilms, 1.5% agar plates, 0.75% agar plates and swarming colonies. Model food studies revealed spores from emetic toxin-producing strains to germinate efficiently on meat broth- and milk-based agar plates, whereas germination on rice-based agar plates was far less efficient. Notably, spores of all strains germinated efficiently when 0.1% meat broth was added to the rice plates. Analysis of spores derived from different environments revealed large diversity and showed biofilm spores for the strains tested to be the largest in size, the most heat resistant and with the lowest germination capacity. CONCLUSIONS: Sporulation in complex conditions such as biofilms and surface swarming colonies increases heat resistance and dormancy of spores. SIGNIFICANCE AND IMPACT OF THE STUDY: The results obtained imply the importance of sporulation conditions on spore properties of emetic toxin-producing B. cereus strains, as occur for instance in food processing.

Robotic control of a traditional flexible endoscope for therapy.

In therapeutic flexible endoscopy a team of physician and assistant(s) is required to control all independent translations and rotations of the flexible endoscope and its instruments. As a consequence the physician lacks valuable force feedback information on tissue interaction, communication errors easily occur, and procedures are not cost-effective. Current tools are not suitable for performing therapeutic procedures in an intuitive and user-friendly way by one person. A shift from more invasive surgical procedures that require external incisions to endoluminal procedures that use the natural body openings could be expected if enabling techniques were available. This paper describes the design and evaluation of a robotic system which interacts with traditional flexible endoscopes to perform therapeutic procedures that require advanced maneuverability. The physician uses one multi-degree-of-freedom input device to control camera steering as well as shaft manipulation of the motorized flexible endoscope, while the other hand is able to manipulate instruments. We identified critical use aspects that need to be addressed in the robotic setup. A proof-of-principle setup was built and evaluated to judge the usability of our system. Results show that robotic endoscope control increases efficiency and satisfaction. Participants valued its intuitiveness, its accuracy, the feeling of being in control, and its single-person setup. Future work will concentrate on the design of a system that is fully functional and takes safety, cleanability, and easy positioning close to the patient into account.

Transcriptional regulation of metabolic pathways, alternative respiration and enterotoxin genes in anaerobic growth of Bacillus cereus ATCC 14579.

AIMS: To assess genes specifically activated during anaerobic growth that are involved in metabolism and pathogenesis of the foodborne pathogen Bacillus cereus. METHODS AND RESULTS: Growth under anaerobic conditions in Brain Heart Infusion (BHI) broth revealed a reduced growth rate and lower yield as compared to growth under aerobic conditions. Subsequently, comparative transcriptome analysis showed specific genes induced under anaerobic conditions. These included novel genes identified for anaerobic growth of B. cereus, encoding metabolic pathways, such as the arginine deiminase pathway (ArcABDC), formate dehydrogenase (FdhF) and pyruvate formate lyase (Pfl), and alternative respiratory proteins, such as arsenate reductases. Notably, haemolytic enzyme encoding genes were induced during anaerobic growth, and enterotoxin genes were induced in high cell density transition and stationary phases of aerobic cultures. CONCLUSIONS: These data point to induction of stress adaptation and pathogenicity factors and rearrangements of expression of metabolic pathways in response to oxygen limitations in B. cereus. SIGNIFICANCE AND IMPACT OF THE STUDY: The reported changes in gene expression show that the foodborne pathogen B. cereus can adjust to anaerobic conditions, such as encountered in the human GI-tract.

Bowel injury as a complication of laparoscopy.

BACKGROUND: Bowel injury is a rare but serious complication of laparoscopic surgery. This review examines the incidence, location, time of diagnosis, causative instruments, management and mortality of laparoscopy-induced bowel injury. METHODS: The review was carried out using the MeSH browser within PubMed. The keywords used were 'laparoscopy/adverse effects' and 'bowel perforation'. Additional articles were sourced from references within the studies found in the PubMed search. RESULTS: The incidence of laparoscopy-induced gastrointestinal injury was 0.13 per cent (430 of 329 935) and of bowel perforation 0.22 per cent (66 of 29 532). The small intestine was most frequently injured (55.8 per cent), followed by the large intestine (38.6 per cent). In at least 66.8 per cent of bowel injuries the diagnosis was made during the laparoscopy or within 24 h thereafter. A trocar or Veress needle caused the most bowel injuries (41.8 per cent), followed by a coagulator or laser (25.6 per cent). In 68.9 per cent of instances of bowel injury, adhesions or a previous laparotomy were noted. Management was mainly by laparotomy (78.6 per cent). The mortality rate associated with laparoscopy-induced bowel injury was 3.6 per cent. CONCLUSION: At 0.13 per cent, the incidence of laparoscopy-induced bowel injury is small and such injury is usually discovered during the operation. Nevertheless, laparoscopy-induced bowel injury is associated with a high mortality rate of 3.6 per cent.

Inter- and intraindividual variabilities of perforation forces of human and pig bowel tissue.

BACKGROUND: A laparoscopic bowel grasper should be suitable for safely grasping the bowel in a wide variety of patients. Therefore, the inter- and intraindividual variabilities in the strength of bowel tissue to resist perforation force should be analyzed. METHODS: The large and small bowels of pigs ( n = 14) and the human small bowel ( n = 7) were clamped between two hemispheres 1.5 mm in diameter. The pinch force was increased until the tissue was perforated. RESULTS: The perforation force for the pig large bowel was higher than for the small bowel (13.5 +/- 3.7 vs 11.0 +/- 2.5 N; p = 0.014). No difference was found between the human and pig small bowel (10.3 +/- 2.9 vs 11.0 +/- 2.5 N). The intercoefficient of variation varied between 22% and 28%, and the intracoefficient of variation varied between 14% and 18%. CONCLUSIONS: The strength of the pig bowel is approximately comparable to the strength of the human bowel, and, therefore, testing of graspers on pig bowel is justified. However, due to the large interindividual variation, large safety margins should be taken into account.

Dynamics of Si-H vibrations in an amorphous environment

We present results of the first vibrational photon-echo, transient-grating, and temperature dependent transient-bleaching experiments on a-Si:H. Using these techniques, and the infrared light of a free electron laser, the vibrational population decay and phase relaxation of the Si-H stretching mode were investigated. Careful analysis of the data indicates that the vibrational energy relaxes directly into Si-H bending modes and Si phonons, with a distribution of rates determined by the amorphous host. Conversely, the pure dephasing appears to be single exponential, and can be modeled by dephasing via two-phonon interactions.