Evidence map›Paper›PMID 40498692›Full record

ArticlePLOS global public health2025

Gaps and opportunities for data systems and economics to support priority setting for climate-sensitive infectious diseases in sub-Saharan Africa: A rapid scoping review.

Ellie A Delight, Ariel A Brunn, Francis Ruiz, Jessica Gerard, Jane Falconer, Yang Liu, Bubacarr Bah, Bernard Bett, Benjamin Uzochukwu, Oladeji K Oloko and 2 more

Abstract read
In one paragraph

Article in PLOS global public health, 2025. 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

12 authors.

Ellie A DelightDepartment of Disease Control, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0009-0001-1003-4779
Ariel A BrunnDepartment of Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0003-2084-6735
Francis RuizDepartment of Global Health and Development, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0001-5183-3959
Jessica GerardDepartment of Disease Control, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0009-0009-9395-3903
Jane FalconerLibrary, Archive & Open Research Services, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0002-7329-0577
Yang LiuDepartment of Infectious Disease Epidemiology and Dynamics, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Bubacarr BahData Science Cluster, Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, Banjul, The Gambia.ORCID https://orcid.org/0000-0003-3318-6668
Bernard BettEducation and Outreach Centre for Africa, International Livestock Research Institute, Nairobi, Kenya.
Benjamin UzochukwuDepartment of Community Medicine, University of Nigeria, Nsukka, Nigeria.
Oladeji K OlokoCentre on Climate Change and Planetary Health, MRC Unit The Gambia at London School of Hygiene and Tropical Medicine, Banjul, The Gambia.
Esther NjugunaAfrican Social and Gender Insights Group, Nairobi, Kenya.
Kris A MurrayCentre on Climate Change and Planetary Health, MRC Unit The Gambia at London School of Hygiene and Tropical Medicine, Banjul, The Gambia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change alters risks associated with climate-sensitive infectious diseases (CSIDs) with pandemic potential. This poses additional threats to already vulnerable populations, further amplified by social factors such as gender inequalities. Currently, critical evidence gaps, along with inadequate institutional and governance mechanisms, hinder African states' ability to prevent, detect and respond to CSIDs. Effective responses require transparent and evidence-based decision-making processes, supported by fit-for-purpose data systems and robust economic analyses. The aim of this study was to explore the role of data systems and economics in priority setting for CSID pandemic preparedness in sub-Saharan Africa. We conducted a rapid scoping review following PRISMA-ScR guidelines. A literature search was performed across six bibliographic databases in November 2023. A list of 14 target CSIDs was produced, informed by the World Health Organization's Public Health Emergencies of International Concern and R&D Blueprint Pathogen lists, and a database of CSIDs. Studies were included if published between 2010 and 2023, were relevant to sub-Saharan Africa, pandemic preparedness, and a target CSID, and applied or assessed economic evaluations or data systems. Extracted data were synthesised using bibliometric analysis, topic categorisation, and a narrative synthesis including the application of a gender lens. We identified 68 relevant studies. Data system studies (n = 50) showed broad coverage across target CSIDs and the WHO AFRO region but also a high degree of heterogeneity, which may indicate a lack of clearly defined standards or research priorities. Economic studies (n = 18) primarily focused on COVID-19 or Ebola and mostly originated from South Africa. Both data system and economic studies identified limited interoperability across sectors and showed a notable absence of gendered considerations. These gaps present important opportunities to strengthen priority setting during pandemics and may contribute to improved and equitable health outcomes.

Identifiers

PMID40498692
PMCPMC12157337

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Registered trials

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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.