Abstract Many multivariate Bayesian spatial models for joint disease mapping assume Gaussian distributions for the spatial random effects, which can be restrictive when the true distributions are unknown. We develop a nonparametric Bayesian methodology that uses a Dirichlet process mixture prior to model spatial random...
K. Ayalew, Samuel Manda, Bo Cai· Communications in Statistics...· 0 citations
Geographically Weighted Regression was applied to data from the recent 2024 Malawi Demographic and Health Survey to estimate district-specific associations between childhood malaria and selected risk factors, namely mosquito net use, place of residence, household wealth, maternal age, and maternal education.
Mary Magoya, Samuel Manda, B. Ejigu· Malaria Journal· 0 citations
Hierarchical Bayesian smooth transition autoregressive models provide accurate forecasts by accommodating nonlinear regime-switching dynamics while delivering robust uncertainty quantification, which makes them well suited for infectious disease surveillance and public health decision-making in resource-limited, high-u...
G. Singini, Samuel Manda· Frontiers in Applied Mathema...· 0 citations
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