Using machine learning to predict real-time PM2.5 concentrations from household air pollution in peri-urban sub-Saharan Africa

Multinational modelling of fine particulate matter and carbon monoxide exposures from household air pollution in peri-urban Sub-Saharan Africa

Air pollution particulate matter (PM2.5) prediction in South African cities using machine learning techniques

Background Air pollution contributes to the most severe environmental and health problems due to in

Predictive Machine Learning Modeling of Urban Traffic Air Pollution:

Air pollution in Africa is a growing yet often overlooked threat, worsened by rapid industrializatio

Premature Mortality from Type 2 Diabetes Mellitus Attributable to Household Air Pollution from Solid Fuels in Eastern Sub-Saharan Africa, 1990 to 2023

Background Type 2 diabetes mellitus is a growing public health crisis in Sub-S

Air Pollution Measurements and Land-Use Regression in Urban Sub-Saharan Africa Using Low-Cost Sensors—Possibilities and Pitfalls

Air pollution is recognized as the most important environmental factor that adversely affects human

Unsupervised machine learning in air pollution epidemiology in South Africa

This dataset consist of different scripts and do files, used to achieve objectives to assess the