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Prevalence and risk factors of under-five mortality due to severe acute malnutrition in Africa: a systematic review and meta-analysis.
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Bill and Joyce Cummings Institute of Global Health, University of Global Health Equity (UGHE), Butaro, Rwanda.
Background: Despite a global drop of under-five mortality by 59% between 1990 and 2019, it remains high in Low- and Middle- income Countries (LMICs)with a preponderance in Sub-Saharan Africa (SSA), Southern and Central Asia. Besides preterm and intrapartum complications, undernutrition contributes 45% of the deaths in these developing regions. In Africa, under-five mortality due to severe acute malnutrition (SAM) has stagnated at 10-40%, higher than WHO targets and the SDGs projections.
View Article and Find Full Text PDFA deep learning approach for classifying and predicting children's nutritional status in Ethiopia using LSTM-FC neural networks.
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Department of Statistics, College of Science, Bahir Dar University, P.O. Box 79, Bahir Dar, Ethiopia.
Background: This study employs a LSTM-FC neural networks to address the critical public health issue of child undernutrition in Ethiopia. By employing this method, the study aims classify children's nutritional status and predict transitions between different undernutrition states over time. This analysis is based on longitudinal data extracted from the Young Lives cohort study, which tracked 1,997 Ethiopian children across five survey rounds conducted from 2002 to 2016.
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Center for Discovery and Innovation, Hackensack Meridian Health, Nutley, NJ, USA.
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View Article and Find Full Text PDFQuantifying the potential value of entomological data collection for programmatic decision-making on malaria control in sub-Saharan African settings.
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MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK.
Background: The availability of many tools for malaria control leads to complex decisions regarding the most cost-effective intervention package based on local epidemiology. Mosquito characteristics influence the impact of vector control, but entomological surveillance is often limited due to a lack of resources in national malaria programmes.
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Joint spatiotemporal modelling of tuberculosis and human immunodeficiency virus in Ethiopia using a Bayesian hierarchical approach.
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Department of Statistics, University of South Africa, c/o Christiaan de Wet Road & Pioneer Avenue, Private Bag X6, Florida, 1710, Johannesburg, South Africa.
Background: The aim of this paper was to evaluate the distribution of HIV and TB in Ethiopia during four years (2015-2018) at the district level, considering both spatial and temporal patterns.
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