Abstract
Introduction 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 will aim 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. Methods and analysis The search strategy will be developed, and the search will be conducted in the Web of Science, Scopus, CAB Abstracts, MEDLINE and EMBASE electronic databases. We will also search the reference lists of eligible articles for additional records. We will screen titles, technical reports, abstracts and full texts and select studies reporting the use of data science in relation to the health effects and interventions associated with climate change and air pollution in Africa. Ethics and dissemination There are no formal ethics requirements as we are not collecting primary data. Results, once published, will be disseminated via conferences and shared with policy-makers and public health, air pollution and climate change key stakeholders in Africa.
| Original language | English |
|---|---|
| Article number | e076941 |
| Journal | BMJ Open |
| Volume | 14 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 20 May 2024 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 13 Climate Action
Keywords
- Climate Change
- Decision Making
- EPIDEMIOLOGY
- Health policy
- INFECTIOUS DISEASES
- Public health
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