Modelling diagnostics for <i>Echinococcus granulosus</i> surveillance in sheep using Latent Class Analysis: Argentina as a case study.

ABSTRACT: Echinococcus granulosus sensu lato is a globally prevalent zoonotic parasitic cestode leading to cystic echinococcosis (CE) in both humans and sheep with both medical and financial impacts, whose reduction requires the application of a One Health approach to its control. Regarding the animal health component of this approach, lack of accurate and practical diagnostics in livestock impedes the assessment of disease burden and the implementation and evaluation of control strategies. We use of a Bayesian Latent Class Analysis (LCA) model to estimate ovine CE prevalence in sheep samples from the Río Negro province of Argentina accounting for uncertainty in the diagnostics. We use model outputs to evaluate the performance of a novel recombinant B8/2 antigen B subunit (rEgAgB8/2) i

SUBMITTER: Sykes AL 

PROVIDER: S-EPMC8683760 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature