Evidence map›Paper›PMID 38772593›Full record

ArticleBMJ open2024

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.

Caradee Yael Wright, Anelisa Jaca, Thandi Kapwata, Natasha Naidoo, Babatunde Awokola, Engineer Bainomugisha, Kiros T Berhane, Suzana Blesic, Anderson Kehbila, Rajen Naidoo and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

18 authors.

Caradee Yael WrightEnvironment and Health Research Unit, South African Medical Research Council, Pretoria, South Africa Caradee.Wright@mrc.ac.za.ORCID 0000-0001-9608-818X
Anelisa JacaSouth African Medical Research Council, Tygerberg, South Africa.
Thandi KapwataEnvironment and Health Research Unit, South African Medical Research Council, Johannesburg, Gauteng, South Africa.
Natasha NaidooEnvironment and Health Research Unit, South African Medical Research Council, Pretoria, South Africa.
Babatunde AwokolaMedical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, Banjul, Gambia.
Engineer BainomugishaMakerere University, Kampala, Uganda.
Kiros T BerhaneColumbia University, New York, New York, USA.
Suzana BlesicUniversity of Belgrade, Beograd, Serbia.
Anderson KehbilaStockholm Environment Institute, Nairobi, Kenya.
Rajen NaidooUniversity of KwaZulu-Natal, Durban, South Africa.
Bono NemukulaEnvironment and Health Directorate, National Department Of Health, Pretoria, Gauteng, South Africa.
Benjamin Kofi NyarkoUniversity of Cape Coast, Cape Coast, Central, Ghana.
Akinkunmi Paul OkekunleUniversity of Ibadan, Ibadan, Nigeria.ORCID 0000-0003-4825-4934
Tolu OniUniversity of Cambridge, Cambridge, UK.
Reginald QuansahUniversity of Ghana, Legon, Greater Accra, Ghana.
Sokhna ThiamAfrican Population and Health Research Center, Dakar, Senegal.
Ibrahim Sidi ZakariAbdou Moumouni University, Niamey, Niger.
Negussie BeyeneArmauer Hansen Research Institute, Addis Ababa, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLeveraging 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.

Indexed as

Air PollutionClimate ChangePublic HealthAfricaHumansResearch DesignScoping Reviews as TopicClimate ChangeDecision MakingEPIDEMIOLOGYHealth policyINFECTIOUS DISEASESPublic health

Identifiers

PMID38772593
PMCPMC11110551

What OpenQuestion holds

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LicenceCC BY-NC
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.