Evaluating the Generalisability of Region-naïve Machine Learning Algorithms for the Identification of Epilepsy in Low-resource Settings
Evaluating the Generalisability of Region-naïve Machine Learning Algorithms for the Identification of Epilepsy in Low-resource Settings
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PLOS (Public Library of Science)
Abstract
This pilot stepped-wedge cluster-randomized trial evaluated the effect of text message reminders on newborn vaccination timing in Nairobi slums. Pregnant women either received SMS prompts for birth-dose vaccines (oral polio and BCG) or usual care. Results showed significantly improved timely vaccination during the SMS intervention: oral polio (93.0% vs 80.9%) and BCG (92.7% vs 81.6%). Adjusted risk ratios confirmed the benefit of SMS reminders, demonstrating their potential to increase birth-dose vaccine coverage in resource-constrained settings.
