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

This research paper protocol outlines a scoping review designed to identify and synthesize evidence on how data science can be used as an intervention to address health challenges caused by air pollution and climate change in Africa.

• The proposed scoping review aims to identify and synthesize evidence regarding the application of data science as an intervention to tackle health challenges in Africa resulting from air pollution and climate change.
• Climate change and air pollution impacts, including environmental changes, are identified as the most significant environmental hazards currently threatening the health and well-being of populations in Africa.
• The methodology for the review involves searching literature and several databases, specifically EMBASE, MEDLINE, CAB Abstracts, Scopus, and Web of Science, to find studies on 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} }