Leveraging AI and data science to mitigate the respiratory health impacts of climate change in Africa
Organisation, costs, and challenges
Bibliographic Data
| ID | 19550459 |
|---|---|
| Authors | Akinyimika O Sowunmi, Akinyimika Sowunmi (Teesside University), Okechukwu Ignatius Eze (Teesside University), Uyi Osadolor, Uyi E Osadolor (0000-0003-0735-1842, Covenant University), Alexander Iseolorunkanmi (0009-0008-1435-2214, Covenant University), Davies Adeloye (0000-0003-1316-8139, Teesside University) |
| Year | 2024 |
| Volume | 14 |
| Pages | 03051-03051 |
| Publication date | 2024-12-06 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Global Health (JOURNAL) |
| Journal identifiers | ISSN: 2047-2978 • E-ISSN: 2047-2986 |
| Publisher | International Society of Global Health (PUBLISHER • GB) |
| DOI | 10.7189/jogh.14.03051 |
| PMID | 39641333 |
| OpenAlex | W4405114569 |
| Language | EN |
| References cited | 19 |
The impacts of climate change on health, particularly respiratory health, have continued to generate concerns globally [1,2]. The United Nations Intergovernmental Panel on Climate Change, in its Fifth Assessment Report, identified climate change as a significant factor that amplifies existing health vulnerabilities [3]. It highlighted that human health is particularly sensitive to climate fluctuations, with [...]
Biology · Climate change · Data science · Environmental health · Environmental planning · Environmental resource management · Geography · MEDLINE · Political science · Air Quality Monitoring and Forecasting · Climate Change and Health Impacts · Computer Science · Environmental Science · Health, Environment, Cognitive Aging · Medicine · Ecology
| Highly cited | No |
|---|