Latent-class analysis-derived brucellosis prevalence estimates by production system (pastoral and non-pastoral) and species (cattle, sheep, and goats).

<p>White dots indicate the median, black diamonds the mean, black boxes the 50% credible interval, and black lines the 95% credible interval. ‘n’ indicates the number of animals sampled and tested for brucellosis with both the Rose Bengal test (RBT) and competitive enzyme-linked immunosorbent...

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Bibliographic Details
Main Author:	Ângelo J. F. Mendes (20727333) (author)
Other Authors:	Daniel T. Haydon (7499906) (author), William A. de Glanville (7431773) (author), Rebecca F. Bodenham (11326851) (author), AbdulHamid S. Lukambagire (8824208) (author), Paul C. D. Johnson (9543637) (author), Gabriel M. Shirima (7251362) (author), Sarah Cleaveland (83792) (author), Emma McIntosh (787413) (author), Nick Hanley (591087) (author), Jo E. B. Halliday (7499909) (author)
Published:	2025
Subjects:	Medicine Biotechnology Ecology Cancer Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified per infected animal guide policy development economic modelling framework 2 – 211 2 – 17 economic impacts caused class analysis model 4 – 23 1 – 1 8 – 228 8 – 17 2 – 1 annual losses attributable 7 – 25 1 – 3 1 – 8 4 – 6 2 – 3 6 ), 1 div >< p 3 – 4 6 ), 6 9 ), 1 7 ), 9 pastoral production systems level brucellosis prevalence 8 ), level losses wide impacts pastoral systems growth model estimated losses livestock production 0 ), widespread distribution using tanzania uncertainty interval surveys conducted resource settings potential interventions many low international dollars inform cost human health derived income clustering algorithm classify households central tanzania brucella </ benefit analyses bayesian latent 541 households 384 classified
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Latent-class analysis-derived brucellosis prevalence estimates by production system (pastoral and non-pastoral) and species (cattle, sheep, and goats).

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