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This research aims to analyze the spatio-temporal distribution of malaria incidence and mortality in Kenya using a Bayesian model.

Multivariate Bayesian Spatio-Temporal Modeling of Malaria Incidence and Mortality in Kenya

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This research aims to analyze the spatio-temporal distribution of malaria incidence and mortality in Kenya using a Bayesian model.
Developed a multivariate Bayesian spatio-temporal modeling framework
Incorporated skew distributions to analyze incidence and mortality
Used Markov Chain Monte Carlo (MCMC) for parameter estimation
Assessed model performance with Bayesian evaluation metrics like WAIC and lppd
Effectively captured spatial and temporal dependencies in malaria incidence and mortality
Identified variations in risk across different counties in Kenya
Demonstrated capacity to represent complex malaria dynamics

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Multivariate Bayesian modeling reveals patterns of malaria incidence and mortality in Kenya, suggesting new control strategies.

Nyabuto et al. (2026) studied this question.

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