Cargando…
Estimating the burden of multiple endemic diseases and health conditions using Bayes’ Theorem: A conditional probability model applied to UK dairy cattle
The Global Burden of Animal Diseases (GBADs) is an international collaboration aiming, in part, to measure and improve societal outcomes from livestock. One GBADs objective is to estimate the economic impact of endemic diseases in livestock. However, if individual disease impact estimates are linear...
Autores principales: | Rasmussen, Philip, Shaw, Alexandra P.M., Muñoz, Violeta, Bruce, Mieghan, Torgerson, Paul R. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Scientific Publishing
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9127345/ https://www.ncbi.nlm.nih.gov/pubmed/35358837 http://dx.doi.org/10.1016/j.prevetmed.2022.105617 |
Ejemplares similares
-
Corrigendum to: Estimating the burden of multiple endemic diseases and health conditions using Bayes’ Theorem: A conditional probability model applied to UK dairy cattle [Prev. Vet. Med., vol. 203, June 2022, 105617]
por: Rasmussen, Philip, et al.
Publicado: (2023) -
Jet identification based on probability calculations using Bayes' theorem
por: Jacobsson, C, et al.
Publicado: (1995) -
Bayes Theorem for the Clinician
por: Hall, G. H., et al.
Publicado: (1990) -
Conditional independence in applied probability
por: Pfeiffer, Paul E
Publicado: (1978) -
Error rates in SARS-CoV-2 testing examined with Bayes' theorem
por: Bentley, P.M.
Publicado: (2021)