TY - JOUR
T1 - Identifying globally relevant learnings from Africa's challenges and solutions to climate change and air pollution-related health impacts
T2 - A data science scoping review protocol
AU - Wright, Caradee Yael
AU - Jaca, Anelisa
AU - Kapwata, Thandi
AU - Naidoo, Natasha
AU - Awokola, Babatunde
AU - Bainomugisha, Engineer
AU - Berhane, Kiros T.
AU - Blesic, Suzana
AU - Kehbila, Anderson
AU - Naidoo, Rajen
AU - Nemukula, Bono
AU - Nyarko, Benjamin Kofi
AU - Okekunle, Akinkunmi Paul
AU - Oni, Tolu
AU - Quansah, Reginald
AU - Thiam, Sokhna
AU - Zakari, Ibrahim Sidi
AU - Beyene, Negussie
N1 - Publisher Copyright:
© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
PY - 2024/5/20
Y1 - 2024/5/20
N2 - 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.
AB - 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.
KW - Climate Change
KW - Decision Making
KW - EPIDEMIOLOGY
KW - Health policy
KW - INFECTIOUS DISEASES
KW - Public health
UR - http://www.scopus.com/inward/record.url?scp=85193787640&partnerID=8YFLogxK
U2 - 10.1136/bmjopen-2023-076941
DO - 10.1136/bmjopen-2023-076941
M3 - Article
C2 - 38772593
AN - SCOPUS:85193787640
SN - 2044-6055
VL - 14
JO - BMJ Open
JF - BMJ Open
IS - 5
M1 - e076941
ER -