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World Cup 2026: Can sub-Saharan Africa outdo noisy neighbours from north?
World Cup 2026: Can sub-Saharan Africa outdo noisy neighbours from north? After Morocco became the first Africans to reach a World Cup semifinal in 2022, can a sub-Sahara side step up in 2026? Africa’s performance at World Cups peaked at Qatar 2022 when Morocco became the first side from the continent to reach the semifinal stage.
Mining triggers extensive additional deforestation in sub-Saharan Africa
Nature, Published online: 03 June 2026; doi:10.1038/s41586-026-10551-2Extensive mining activity leads to large-scale deforestation of dense tropical forests across sub-Saharan Africa, driven particularly by key energy transition minerals such as cobalt.
How a rush for minerals is causing deforestation in tropical regions
Nature, Published online: 03 June 2026; doi:10.1038/d41586-026-01582-wAn analysis of the extent to which mining caused deforestation between 2001 and 2020 in areas near mines in sub-Saharan Africa could help conservation efforts.
Rice–fish co-culturing could help curb schistosomiasis while increasing food production
Rice–fish co-culturing could help curb schistosomiasis while increasing food production Stephanie Baum Scientific Editor Robert Egan Associate Editor The chronic disease schistosomiasis wreaks havoc on more than 220 million people around the world, with the vast majority of cases being in sub-Saharan Africa. Despite decades of mass drug administration campaigns, schistosomiasis remains one of the world's most widespread neglected tropical diseases.
Hybrid Probabilistic Forecasting of Under-Five Malaria Admissions in Ghana: A Gaussian Process Regression with Holt-Winters Smoothing
Announce Type: cross Abstract: Accurate malaria forecasting remains a major challenge in sub-Saharan Africa, where strong seasonality, reporting uncertainty, and non-stationary transmission dynamics reduce the reliability of conventional models. In Ghana, district-level malaria surveillance requires forecasting frameworks that are probabilistically rigorous and robust under limited data. This study proposes a hybrid framework integrating Gaussian Process Regression (GPR) with Holt-Winters...
Bayesian Inference of Nonlinear Malaria Dynamics in Ghana via an Ensemble Markov Chain Monte Carlo Sampler
arXiv:2606.00783v1 Announce Type: cross Abstract: Reliable quantification of malaria dynamics in sub-Saharan Africa is hindered by short, noisy, and spatially heterogeneous surveillance records. In Ghana, health-facility data from 2014 to 2023 reveal non-linear and age-specific fluctuations in hospital admissions, yet existing approaches struggle to capture stochastic variability or provide credible uncertainty bounds. This study develops a Bayesian nonlinear inference framework that...
Rising emissions, depleting water and vanishing land: AI is threatening natural resources for billions, say scientists
By 2030, the global data centers powering artificial intelligence are projected to consume 945 terawatt-hours of electricity. This is nearly triple the combined annual electricity use of Pakistan, Bangladesh, and Nigeria—countries collectively home to more than 650 million people. Their associated water footprint will equal the basic annual domestic water needs of all 1.3 billion people in Sub-Saharan Africa, and their land footprint will exceed 14,500 square kilometers, roughly twice the...
WHO chief lands in Kinshasa
Tedros Ghebreyesus arrived in Kinshasa ahead of a planned visit to the eastern province of Ituri, the epicentre of the outbreak. We speak to an investor that returned to Congo to grow chillis. And finally the Caen Memorial, in France is presenting an exhibition dedicated to sub-Saharan Africa, its history, and its artists.
Beyond Accuracy: Evaluating Efficiency, Robustness and Explainability in Deep Learning for Malaria Diagnosis
arXiv:2605.30734v1 Announce Type: new Abstract: Malaria remains a leading cause of mortality in sub-Saharan Africa, where scarce diagnostic infrastructure makes timely, accurate diagnosis particularly challenging. While deep learning offers a compelling path toward automated malaria screening, clinical adoption is hindered by computational cost and opacity in decision-making. This work benchmarks four deep learning models spanning a wide range of designed design architectures and model...
Repeatability and Heritability of UAV-Derived Canopy Traits in a Cassava Breeding Population Using Time-Series Data from Two Consecutive Growing Seasons
Cassava is a major staple crop in tropical regions, particularly in Sub-Saharan Africa, yet its productivity remains constrained by genetic and agronomic limitations. A major bottleneck in cassava breeding is the difficulty of accurately phenotyping agronomic traits under field conditions using conventional, labor-intensive methods. Here, we evaluated the potential of uncrewed aerial vehicle (UAV)-based phenotyping to quantify canopy growth traits and assess their genetic relevance under...