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Develops models predicting malaria incidence in Mozambique, suggesting improved interventions.
This study develops machine learning models to predict monthly malaria incidence in Mopeia, Mozambique, integrating epidemiological, climatic, and spatial features. A novel Malaria Proneness Index (MPI) is proposed to enhance prediction accuracy and support targeted public health interventions
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Milky Girma Guluma (2026) studied this question.
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