Estimation of infection and recovery rates for highly polymorphic parasites when detectability is imperfect, using hidden Markov models.

Abstract excerpt

A Bayesian hierarchical model is proposed for estimating parasitic infection dynamics for highly polymorphic parasites when detectability of the parasite using standard tests is imperfect. The parasite dynamics are modelled as a non-homogeneous hidden two-state Markov process, where the observed process is the detection or failure to detect a parasitic genotype. This is assumed to be conditionally independent...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Algorithms
• Share to Bayes Theorem
• Share to Malaria, Falciparum