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
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
Affiliations
Tolu Oni
University of Cambridge, Cambridge, UK
Anelisa Jaca
South African Medical Research Council, Tygerberg, South Africa
Thandi Kapwata
Environment and Health Research Unit, South African Medical Research Council, Johannesburg, Gauteng, South Africa
Rajen Naidoo
University of KwaZulu-Natal, Durban, South Africa
Babatunde Awokola
Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, Banjul, Gambia
Sokhna Thiam
African Population and Health Research Center, Dakar, Senegal
Kiros T Berhane
Columbia University, New York, New York, USA
Caradee Yael Wright
Environment and Health Research Unit, South African Medical Research Council, Pretoria, South Africa
Natasha Naidoo
Environment and Health Research Unit, South African Medical Research Council, Pretoria, South Africa
Engineer Bainomugisha
Makerere University, Kampala, Uganda
Suzana Blesic
University of Belgrade, Beograd, Serbia
Anderson Kehbila
Stockholm Environment Institute, Nairobi, Kenya
Bono Nemukula
Environment and Health Directorate, National Department Of Health, Pretoria, Gauteng, South Africa
Benjamin Kofi Nyarko
University of Cape Coast, Cape Coast, Central, Ghana
Akinkunmi Paul Okekunle
University of Ibadan, Ibadan, Nigeria
Reginald Quansah
University of Ghana, Legon, Greater Accra, Ghana
Ibrahim Sidi Zakari
Abdou Moumouni University, Niamey, Niger
Negussie Beyene
Armauer Hansen Research Institute, Addis Ababa, Ethiopia
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.
