AIMC Topic: Africa South of the Sahara

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Leveraging data science to understand and address multimorbidity in sub-Saharan Africa: the MADIVA protocol.

BMJ health & care informatics Jul 10, 2025
INTRODUCTION: Multimorbidity (MM), defined as two or more chronic diseases in an individual, is linked to adverse outcomes. MM is increasing in sub-Saharan Africa due to rapidly advancing epidemiological and social transitions. The Research Hub (MAD...
Africa South of the Sahara Kenya Multimorbidity Humans Data Science
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Exploring explainable machine learning algorithms to model predictors of tobacco use among men in Sub Sahara Africa between 2018 and 2023.

Scientific reports Jul 9, 2025
Tobacco smoking is a significant public health issue in sub-Saharan Africa, with its prevalence shaped by various demographic factors. This study aimed to model predictors of tobacco use among men in Sub Sahara Africa between 2018 and 2023 using mach...
Tobacco Use Adult Male Middle Aged Prevalence Adolescent Africa South of the Sahara Humans Machine Learning Algorithms Young Adult
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Moving beyond the noise: geospatial modelling of urban sound environments in a sub-Saharan African city.

Scientific reports Jul 1, 2025
Cities encompass a mixture of artificial, human, animal, and nature-based sounds, which through long and short-term exposures, can impact on physical and mental health. Yet, most epidemiological research has focused on only transportation noise, leav...
Models, Theoretical Noise Sound Africa South of the Sahara Humans Cities Ghana Noise, Transportation
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Unsupervised deep clustering of high-resolution satellite imagery reveals phenotypes of urban development in Sub-Saharan Africa.

The Science of the total environment Jun 5, 2025
Sub-Saharan Africa and other developing regions have urbanized extensively, leading to complex urban features with varying presence and types of roads, buildings and vegetation. We use a novel hierarchical deep learning framework and high-resolution ...
Environmental Monitoring Africa South of the Sahara Satellite Imagery Urbanization Phenotype Deep Learning Cities
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Predicting breast self-examination awareness in Sub-Saharan Africa using machine learning.

Scientific reports Jun 4, 2025
Breast self-examination is a very cost-reducing approach that significantly decreases the cost burdens associated with medical equipment, fees of healthcare practitioners, transportation to health facilities, and other indirect costs. Furthermore, it...
Africa South of the Sahara Breast Self-Examination Middle Aged Humans Machine Learning Adolescent Young Adult Female Health Knowledge, Attitudes, Practice Adult Breast Neoplasms
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Spatiotemporal patterns and climate-induced macroeconomic burden of malaria in sub-Saharan Africa.

BMC public health May 29, 2025
BACKGROUND: The global malaria burden is characterized by economic, geographical, and climatic disparities, especially in sub-Saharan Africa (SSA). Moreover, meteorological factors have become increasingly important to understand the malaria burden i...
Weather Africa South of the Sahara Climate Change Incidence Bayes Theorem Malaria Cost of Illness Humans Machine Learning Geographic Information Systems Spatio-Temporal Analysis
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Random forest algorithm for predicting tobacco use and identifying determinants among pregnant women in 26 sub-Saharan African countries: a 2024 analysis.

BMC public health Apr 23, 2025
INTRODUCTION: Tobacco use during pregnancy is a significant public health concern, associated with adverse maternal and neonatal outcomes. Despite its critical importance, comprehensive data on tobacco use among pregnant women in sub-Saharan Africa i...
Humans Machine Learning Algorithms Health Surveys Pregnancy Random Forest Tobacco Use Young Adult Africa South of the Sahara Female Adult Pregnant People Adolescent
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Application of the random forest algorithm to predict skilled birth attendance and identify determinants among reproductive-age women in 27 Sub-Saharan African countries; machine learning analysis.

BMC public health Mar 6, 2025
INTRODUCTION: Maternal mortality refers to a mother's death owing to complications arising from childbirth or pregnancy. This issue is a forefront public health challenge around the globe which is pronounced in low- and middle-income countries, parti...
Humans Africa South of the Sahara Machine Learning Midwifery Algorithms Adult Maternal Mortality Pregnancy Adolescent Female Random Forest Young Adult
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Optimizing stroke prediction using gated recurrent unit and feature selection in Sub-Saharan Africa.

Clinical neurology and neurosurgery Jan 27, 2025
BACKGROUND: Stroke remains a leading cause of death and disability worldwide, with African populations bearing a disproportionately high burden due to limited healthcare infrastructure. Early prediction and intervention are critical to reducing strok...
Middle Aged Stroke Africa South of the Sahara Humans Neural Networks, Computer Machine Learning Female Aged Male
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Predicting home delivery and identifying its determinants among women aged 15-49 years in sub-Saharan African countries using a Demographic and Health Surveys 2016-2023: a machine learning algorithm.

BMC public health Jan 24, 2025
BACKGROUND: Birth-related mortality is significantly increased by home births without skilled medical assistance during delivery, presenting a major risk to the public's health. The objective of this study is to predict home delivery and identify the...
Adult Humans Middle Aged Machine Learning Algorithms Health Surveys Adolescent Pregnancy Africa South of the Sahara Female Home Childbirth Young Adult
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