Leveraging data science could significantly advance the understanding of the health impacts of climate change and air pollution to meet health systems’ needs and improve public health in Africa. This scoping review aims to identify and synthesise evidence on the use of data science as an intervention to address climate change and air pollution-related health challenges in Africa.
Exposure to climate change and air pollution impacts, including changes in the environment, are currently the most prominent environmental hazards that threaten the health and well-being of populations in Africa. These public health problems require advanced research and evidence to inform interventions and systemic change. Understanding how to source, manage, model, and analyse health, air quality and climate data and interpret findings is rapidly becoming highly valued, yet somewhat a rare skill set.
This scoping review “Identifying globally relevant learnings from Africa’s challenges and solutions to climate change and air pollution-related health impacts: a data science scoping review protocol” outlines a comprehensive plan to leverage data science in addressing the health impacts of climate change and air pollution in Africa.
The methodology includes searching multiple databases such as Web of Science, Scopus, CAB Abstracts, MEDLINE and EMBASE and literature to identify relevant studies, focusing on the links between climate change, air pollution, and health outcomes.