ArticleFrontiers in veterinary science2022
Application of Bayesian Regression for the Identification of a Catchment Area for Cancer Cases in Dogs and Cats.
Article in Frontiers in veterinary science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- The epidemiological landscape of canine tumors in central Italy: animal cancer registry insights, distribution patterns, and incidence estimates.Frontiers in veterinary science · 2026Article
- Comparative epidemiological study of breast cancer in humans and canine mammary tumors: insights from Portugal.Frontiers in veterinary science · 2023Article
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4 authors.
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Abstract
Research on cancer in dogs and cats, among other diseases, finds an important source of information in registry data collected from hospitals. These sources have proved to be decisive in establishing incidences and identifying temporal patterns and risk factors. However, the attendance of patients is not random, so the correct delimitation of the hospital catchment area (CA) as well as the identification of the factors influencing its shape is relevant to prevent possible biases in posterior inferences. Despite this, there is a lack of data-driven approaches in veterinary epidemiology to establish CA. Therefore, our aim here was to apply a Bayesian method to estimate the CA of a hospital. We obtained cancer (
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