Publications
2026
Delavenne, C., Śmiałek, M., (…) Faverjon, C., et al. Integrating heterogeneous data to address endemic diseases in broiler production: insights from a Polish case study. BMC Veterinary Research, Volume 22 (2026). https://doi.org/10.1186/s12917-026-05341-x
Marroco, M., Fernández-Fontelo, A., (…) Garcia-Morante, B., et al. Modeling and predicting water consumption in fattening pigs using autoregressive moving average with external parameters. Scientific Reports 16, 10027 (2026). https://doi.org/10.1038/s41598-026-40343-7
Noor, S., Degroote, J., (…) Hostens, M., et al. A systematic review on the role of livestock ontologies in animal health management and disease surveillance: A PRISMA 2020 and AI-assisted screening approach. Smart Agricultural Technology, Volume 14 (2026). https://doi.org/10.1016/j.atech.2026.101977
2025
Delavenne, C., van Schaik, G., (…) Faverjon, C., et al. Reusability challenges of livestock production data to improve animal health. Scientific Data 12, 458 (2025). https://doi.org/10.1038/s41597-025-04785-4
Doidge, C., Bokma, J., (…) Kaler, J., et al. Dairy farmers’ intention to use calf management technologies in four European countries: A QCA and PLS-SEM approach. Preventive Veterinary Medicine, Volume 236 (2025). https://doi.org/10.1016/j.prevetmed.2025.106417
Knörr, A., Zhou, X., (…) Siegrist, M., et al. Industry stakeholders attitudes and beliefs about tail biting and docking in pigs – A case study in Switzerland and Spain. Preventive Veterinary Medicine, Volume 237 (2025). https://doi.org/10.1016/j.prevetmed.2025.106444
Merca, C., Sorin-Dupont, B., (…) Ezanno, P., et al. Combining dynamic generalized linear models and mechanistic modelling to optimize treatment strategies against bovine respiratory disease. Veterinary Research, Volume 56 (2025). https://doi.org/10.1186/s13567-025-01611-y
Slegers, Y., Hostens, M., (…) Jensen, D.B., et al. Predicting footpad lesion scores of Dutch broiler flocks using routinely collected data. Smart Agricultural Technology, Volume 12 (2025). https://doi.org/10.1016/j.atech.2025.101080
Slegers, Y., Matthijs. M., (…) de Wit, S., et al. Applied research note: exploring the relationship between first-week mortality and performance after the first week in broiler chickens. Journal of Applied Poultry Research, Volume 34, Issue 4 (2025). https://doi.org/10.1016/j.japr.2025.100611
Sorin-Dupont, B., Poyard, A., (…) Ezanno, P., et al. Individual or collective treatments: how to target antimicrobial use to limit the spread of Mannheimia haemolytica among beef cattle? Peer Community Journal, Section Animal Science, Volume 5 (2025). https://doi.org/10.24072/pcjournal.629
Zhou, X., Boerlage, A.S., (…) Bearth, A., et al. The use of data for health and welfare management of farmed salmons in Norway, Scotland, and Ireland. Preventive Veterinary Medicine, Volume 239 (2025). https://doi.org/10.1016/j.prevetmed.2025.106512
Zhou, X., Knörr, A., (…) Bearth, A., et al. Data recording and use of data tools for pig health management: perspectives of stakeholders in pig farming. Frontiers in Veterinary Science, Section Veterinary Humanities and Social Sciences (2024). https://doi.org/10.3389/fvets.2024.1490770
Zaghen, F., van der Voort, M., (…) Steeneveld, W., et al. Quantifying welfare impact of bovine respiratory disease in dairy calves via expert elicitation. Italian Journal of Animal Science, Volume 24 (2024). https://doi.org/10.1080/1828051X.2025.2585603
2024
Boeters, M., Steeneveld, W., (…) van Schaik, G., et al. A dynamic framework for calculating the biomass of fattening pigs with an application in estimating the burden of porcine reproductive and respiratory syndrome in the Netherlands. Preventive Veterinary Medicine, Volume 234 (2025). https://doi.org/10.1016/j.prevetmed.2024.106383
Doidge, C., Ånestad, L.M., (…) Kaler, J., et al. A Living Lab approach to understanding dairy farmers’ technology and data needs to improve herd health: Focus groups from 6 European countries. Journal of Dairy Science, Volume 107, Issue 8 (2024). https://doi.org/10.3168/jds.2024-24155
Doidge, C., Burrell, A., van Schaik, G. Kaler, J. A qualitative survey approach to investigating beef and dairy veterinarians’ needs in relation to technologies on farms. animal 101124 (2024). https://doi.org/10.1016/j.animal.2024.101124
Eyango Tabi, T.G.L., Rouault, M., (…) Parisey, N., et al. Harnessing uncertainty: A deep mechanistic approach for cautious diagnostic and forecast of Bovine Respiratory Disease. Preventive Veterinary Medicine, Volume 233 (2024). https://doi.org/10.1016/j.prevetmed.2024.106354
Merca, C., Boerlage, A.S., (…) Jensen, D.B., et al. Monitoring monthly mortality of maricultured Atlantic salmon (Salmo salar L.) in Scotland I. Dynamic linear models at production cycle level. Frontiers in Marine Science, Section Marine Fisheries, Aquaculture and Living Resources, Volume 11 (2024). https://doi.org/10.3389/fmars.2024.1436755
Merca, C., Boerlage, A.S., (…) Jensen, D.B., et al. Monitoring monthly mortality of maricultured Atlantic salmon (Salmo salar L.) in Scotland II. A hierarchical dynamic linear model. Frontiers in Marine Science, Section Marine Fisheries, Aquaculture and Living Resources, Volume 11 (2024). https://doi.org/10.3389/fmars.2024.1483796
Noor, S., Bokma, J., (…) Hostens, M., et al. Agri Semantics: developments to improve data interoperability to support farm information management and decision support systems in agriculture. Smart farms: improving data-driven decision making in agriculture (2024). http://dx.doi.org/10.19103/AS.2023.0132.05
Oliveira, V., Dorea, F., Bang Jensen, B., et al. Exploring Options for Syndromic Surveillance in Aquaculture: Outbreak Detection of Salmon Pancreas Disease Using Production Data from Norwegian Farms. Transboundary and Emerging Diseases, Issue 1 (2024). https://doi.org/10.1155/2024/9861677
Picault, S., Niang G., P, Ezanno., et al. Leveraging artificial intelligence and software engineering methods in epidemiology for the co-creation of decision-support tools based on mechanistic models. Preventative Veterinary Medicine, Volume 228 (2024) https://doi.org/10.1016/j.prevetmed.2024.106233
Slegers, Y., Hostens, M., (…) de Wit, J.J., et al. Broiler flocks in production systems with slower-growing breeds and reduced stocking density receive fewer antibiotic treatments and have lower mortality. Poultry Science, Volume 103, Issue 11 (2024) https://doi.org/10.1016/j.psj.2024.104197
Zhou, X., Bearth, A., Siegrist, M., et al. Sea lice management in marine-based salmon farming: Public perceptions and acceptance in England and Scotland. Aquaculture, Volume 593 (2024). https://doi.org/10.1016/j.aquaculture.2024.741267
Zhou, X., Garcia-Morante, B., (…) Bearth, A., et al. How do pig veterinarians view technology-assisted data utilisation for pig health and welfare management? A qualitative study in Spain, the Netherlands, and Ireland. Porcine Health Management, Volume 10 (2024). https://doi.org/10.1186/s40813-024-00389-3
2023
Boeters, M., Garcia-Morante, B., van Schaik, G. et al. The economic impact of endemic respiratory disease in pigs and related interventions – a systematic review. Porcine Health Management 9, 45 (2023). https://doi.org/10.1186/s40813-023-00342-w
Doidge C., Palczynski L., (…) Kaleer J., et al. Exploring the data divide through a social practice lens: A qualitative study of UK cattle farmers. Preventive Veterinary Medicine, Volume 220 (2023). https://doi.org/10.1016/j.prevetmed.2023.106030
Doidge C., Frössling, J., (…) Kaleer J., et al. Social and ethical implications of data and technology use on farms: A qualitative study of Swedish dairy and pig farmers. Frontiers in Veterinary Science, Volume 10 (2023). doi: 10.3389/fvets.2023.1171107
Sorin-Dupont, B., Picault, S., (…) Assié, S., et al. Modeling the effects of farming practices on bovine respiratory disease in a multi-batch cattle fattening farm. Preventive Veterinary Medicine, Volume 219 (2023). https://doi.org/10.1016/j.prevetmed.2023.106009
van Schaik G, Hostens M, Faverjon C et al. The DECIDE project: from surveillance data to decision-support for farmers and veterinarians. [open letter, version 1;]. Open Res Europe (2023). https://doi.org/10.12688/openreseurope.15988.1
2022
Walde, C., Stormoen, M., (…) Bang Jensen, B. et al. How delousing affects the short-term growth of Atlantic salmon (Salmo salar). Aquaculture, Volume 561 (2022). https://doi.org/10.1016/j.aquaculture.2022.738720
Brock, J., Lange, M., Tratalos, J.A. et al. The Irish cattle population structured by enterprise type: overview, trade & trends. Irish Veterinary Journal 75, 6 (2022). https://doi.org/10.1186/s13620-022-00212-x.
Cristancho-Fajardo, L., Vergu, E., Beaunée, G. et al. Learning and strategic imitation in modelling farmers’ dynamic decisions on bovine viral diarrhoea vaccination. Vet Res 53, 102 (2022). https://doi.org/10.1186/s13567-022-01112-2
Picault, S., Ezanno, P. Smith, K. et al. Modelling the effects of antimicrobial metaphylaxis and pen size on bovine respiratory disease in high and low risk fattening cattle. Veterinary Research53, 77 (2022). https://doi.org/10.1186/s13567-022-01094-1.