Parasite associations predict infection risk: incorporating co-infections in predictive models for neglected tropical diseases

HIGHLIGHTS

• who: Nicholas J. Clark from the University of Queensland, Gatton, QLD, Australia have published the paper: Parasite associations predict infection risk: incorporating co-infections in predictive models for neglected tropical diseases, in the Journal: (JOURNAL)
• what: The authors simulated from the CRF's posterior distribution with a multivariate boosted regression tree that was designed to maximise the importance of predictors that influence covariance in outcomes , which were parasite infection risks in the case .
• how: The authors developed a model-based approach for incorporating co-infection data to carry out predictive risk modelling.
 



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