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

The document describes a research protocol for a scoping review focused on the application of data science to mitigate the health impacts of climate change and air pollution in Africa. It highlights that environmental hazards are currently the most prominent threats to health in the region and that advanced data science skills—specifically in sourcing, managing, and modelling health and climate data—are essential but rare. The review will employ a methodology involving searches across databases such as Web of Science, Scopus, CAB Abstracts, MEDLINE, and EMBASE to examine the links between climate change, air pollution, and health outcomes.

• Climate change and air pollution, including associated environmental changes, represent the most significant environmental hazards currently threatening the health and well-being of populations across Africa.
• There is a high demand for, but a scarcity of, the specialized skill sets required to source, manage, model, and analyse data related to health, air quality, and climate.
• The proposed scoping review will utilize a methodology that searches literature and multiple databases, including EMBASE, MEDLINE, CAB Abstracts, Scopus, and Web of Science, to investigate the connections between health outcomes, air pollution, and climate change.

APA

Stockholm Environment Institute (2024). 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. https://www.sei.org/publications/climate-change-air-pollution/

Chicago

Stockholm Environment Institute. 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. 2024. https://www.sei.org/publications/climate-change-air-pollution/.

Wikipedia

{{cite report |author=Stockholm Environment Institute |title=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 |date=20 May 2024 |url=https://www.sei.org/publications/climate-change-air-pollution/ |access-date=17 August 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{stockholmenvironmentinstitute2024identifying, author = {{Stockholm Environment Institute}}, title = {{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}}, institution = {Stockholm Environment Institute}, year = {2024}, month = may, url = {https://www.sei.org/publications/climate-change-air-pollution/}, urldate = {2026-08-17}, note = {Indexed by Climate Insights Directory} }