Environment and Health Research Unit, South African Medical Research Council, Pretoria, South Africa
South African Medical Research Council, Tygerberg, South Africa.
BMJ Open. 2024 May 20;14(5):e076941. doi: 10.1136/bmjopen-2023-076941.
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.
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.
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.
利用数据科学可以极大地提高对气候变化和空气污染对健康影响的理解,以满足卫生系统的需求并改善非洲的公共卫生。本范围综述旨在确定和综合利用数据科学作为干预措施,以应对非洲与气候变化和空气污染相关的健康挑战的证据。
将制定搜索策略,并在 Web of Science、Scopus、CAB Abstracts、MEDLINE 和 EMBASE 电子数据库中进行搜索。我们还将搜索符合条件的文章的参考文献列表以获取其他记录。我们将筛选标题、技术报告、摘要和全文,并选择报告数据科学在与非洲气候变化和空气污染相关的健康影响和干预措施方面的使用情况的研究。
由于我们不收集原始数据,因此没有正式的伦理要求。结果一旦发表,将通过会议传播,并与非洲的政策制定者以及公共卫生、空气污染和气候变化利益相关者分享。