Y. Asare Afrane
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This study proposes a hybrid Gaussian Process Regression and Holt-Winters smoothing framework to accurately forecast under-five malaria admissions in Ghana, achieving high predictive accuracy and providing probabilistic uncertainty estimates.
This study develops a Bayesian nonlinear inference framework to model age-specific malaria dynamics in Ghana, providing probabilistic forecasts of resurgence and quantifying significant spatial heterogeneity.
Papers
Hybrid Probabilistic Forecasting of Under-Five Malaria Admissions in Ghana: A Gaussian Process Regression with Holt-Winters Smoothing
This study proposes a hybrid Gaussian Process Regression and Holt-Winters smoothing framework to accurately forecast under-five malaria admissions in Ghana, achieving high predictive accuracy and prov…