ArticleFrontiers in veterinary science2023
Development of a data-driven method for assessing health and welfare in the most common livestock species in Switzerland: The Smart Animal Health project.
Article in Frontiers in veterinary science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 12 citations in OpenAlex.
- Comparative Analysis of Abattoir-Based Measures and On-Farm Pig Welfare Indicators in Italian Fattening Heavy Pigs.Veterinary sciences · 2026Article
- Reusability challenges of livestock production data to improve animal health.Scientific data · 2025Article
- EnrichKit: a multi-omics tool for livestock research.Frontiers in genetics · 2025Article
- Literature review of the use of Qualitative Behaviour Assessment with a fixed list of terms.Frontiers in veterinary science · 2025Review
- Evaluation of candidate data-based welfare indicators for veal calves in Switzerland.Frontiers in veterinary science · 2024Article
- Investigating the use of machine learning algorithms to support risk-based animal welfare inspections of cattle and pig farms.Frontiers in veterinary science · 2024Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Improving animal health and welfare in livestock systems depends on reliable proxies for assessment and monitoring. The aim of this project was to develop a novel method that relies on animal-based indicators and data-driven metrics for assessing health and welfare at farm level for the most common livestock species in Switzerland. Method development followed a uniform multi-stage process for each species. Scientific literature was systematically reviewed to identify potential health and welfare indicators for cattle, sheep, goats, pigs and poultry. Suitable indicators were applied in the field and compared with outcomes of the Welfare Quality
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Registered trials
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