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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

Authors :
Tolu Oni
Anelisa Jaca
Thandi Kapwata
Rajen Naidoo
Babatunde Awokola
Sokhna Thiam
Kiros T Berhane
Caradee Yael Wright
Natasha Naidoo
Engineer Bainomugisha
Suzana Blesic
Anderson Kehbila
Bono Nemukula
Benjamin Kofi Nyarko
Akinkunmi Paul Okekunle
Reginald Quansah
Ibrahim Sidi Zakari
Negussie Beyene
Source :
BMJ Open, Vol 14, Iss 5 (2024)
Publication Year :
2024
Publisher :
BMJ Publishing Group, 2024.

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.

Subjects

Subjects :
Medicine

Details

Language :
English
ISSN :
20446055
Volume :
14
Issue :
5
Database :
Directory of Open Access Journals
Journal :
BMJ Open
Publication Type :
Academic Journal
Accession number :
edsdoj.418d9660a2a346bbb0ba3ac49a1cbe2f
Document Type :
article
Full Text :
https://doi.org/10.1136/bmjopen-2023-076941