Evidence map›Paper›PMID 42527478›Full record

Articlenpj health systems2026

Using data science to identify climate change and health adverse impacts and solutions in Africa: a scoping review.

Caradee Y Wright, Anelisa Jaca, Thandi Kapwata, Natasha Naidoo, Babatunde Awokola, Engineer Bainomugisha, Kiros Berhane, Suzana Blesic, Anderson Gwanyebit Kehbila, Rajen N Naidoo and 10 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in npj health systems, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Caradee Y WrightEnvironment and Health Research Unit, South African Medical Research Council, Pretoria, South Africa. caradee.wright@mrc.ac.za.
Anelisa JacaCochrane South Africa, South African Medical Research Council, Cape Town, South Africa.
Thandi KapwataEnvironment and Health Research Unit, South African Medical Research Council, Johannesburg, South Africa.
Natasha NaidooEnvironment and Health Research Unit, South African Medical Research Council, Pretoria, South Africa.
Babatunde AwokolaMedical Research Council Unit the Gambia at London School of Hygiene and Tropical Medicine, London, The Gambia.
Engineer BainomugishaDepartment of Computer Science, Makerere University, Kampala, Uganda.
Kiros BerhaneDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA.
Suzana BlesicFaculty of Physics, University of Belgrade, Belgrade, Serbia.
Anderson Gwanyebit KehbilaStockholm Environment Institute, Nairobi, Kenya.
Rajen N NaidooDiscipline of Occupational and Environmental Health, University of KwaZulu-Natal, Durban, South Africa.
Bono NemukulaEnvironmental Health Directorate, National Department of Health, Pretoria, South Africa.
Benjamin Kofi NyarkoUniversity of Cape Coast, Cape Coast, Ghana.
Akinkunmi Paul OkekunleResearch Institute of Human Ecology, Seoul National University, Seoul, Republic of Korea.
Tolu OniMRC Epidemiology Unit, University of Cambridge, Cambridge, UK.
Reginald QunasahSchool of Public Health, University of Ghana, Accra, Ghana.
Sokhna ThiamAfrican Population and Health Research Center, West Africa Regional Office, Dakar, Senegal.
Ibrahim Sidi ZakariAbdou Moumouni University, Niamey, Niger.
Negussie BeyeneAHRI-APOPO Project, Armauer Hansen Research Institute, Addis Ababa, Ethiopia.
Emile R ChimusaDepartment of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University, Newcastle, Tyne and Wear, UK.
Candice WebsterEnvironment and Health Research Unit, South African Medical Research Council, Cape Town, South Africa.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Africa is experiencing the impacts of climate change. While global epidemiological studies using traditional analytical methods to study the relations between climate change and health exist, studies using data science to tackle these topics are increasing. The aim of this study was to identify how data science is being used to understand climate change impacts on health in Africa. We carried out a scoping review to synthesize the evidence of data science applied to understand health outcomes associated with climate change in Africa. Among 100 included articles, several temporal and spatial analytical tools and models were applied to determine the relationships between climate change factors and health outcomes for morbidity and mortality. For example, early warning systems for malaria were the most studied adaptation intervention. Africa has a wealth of evidence for addressing the health impacts of climate change to inform solutions for Africa and other countries around the world.

Identifiers

PMID42527478
PMCPMC13354214

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.