Evidence map›Paper›PMID 41367900›Full record

ArticleBMC environmental science2025

Methods for assessing climate vulnerability in Africa across two decades: a scoping review.

Emily Odipo, Sharon A Onyango, Moses C Kiti, Robert W Snow, Benjamin Tsofa, Jacob Mcknight, Peter M Macharia, Emelda A Okiro

Abstract read
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Article in BMC environmental science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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.

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3 · Its place in the literature

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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

8 authors.

Emily OdipoPopulation and Health Impact Surveillance Group, Kenya Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya.
Sharon A OnyangoPopulation and Health Impact Surveillance Group, Kenya Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya.
Moses C KitiPopulation and Health Impact Surveillance Group, Kenya Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya.
Robert W SnowPopulation and Health Impact Surveillance Group, Kenya Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya.
Benjamin TsofaHealth Systems and Research Ethics Department, Kenya Medical Research Institute-Wellcome Trust Research Programme, Kilifi, Kenya.
Jacob McknightCentre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Peter M MachariaPopulation and Health Impact Surveillance Group, Kenya Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya.
Emelda A OkiroPopulation and Health Impact Surveillance Group, Kenya Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Climate change and extreme weather events (EWEs) have an adverse impact on both populations and their surrounding environment. These effects span regions and sectors, with varying impacts, some of which are irreversible. The changing climate, accompanied by an increasing frequency of EWEs, necessitates assessment of climate vulnerability as an important applied instrument to identify populations and systems at risk and guide decision-makers in prioritising targeted interventions. Africa exhibits considerable climatic variability and is particularly susceptible to the impacts of climate change. This review aims to identify key concepts and metrics previously used to define climate vulnerability in Africa facilitating a regional understanding of approaches across various sectors that can be adopted to understand the gaps and limitations as a basis to improve future methods. Methods: We searched literature from 1st January 2003 to 31st December 2023, restricted to publications in English. We analysed the extracted data using both descriptive and thematic approaches, consistent with established scoping review frameworks (Arksey & O'Malley, 2005). Specifically, we used descriptive statistics to summarise study characteristics (e.g., year, location, and type of method) and thematic analysis to identify approaches and frameworks used to assess climate vulnerability in Africa. Results: We retrieved 94 articles in the review. Most studies were conducted in South Africa (14/94, 15%) and Ethiopia (16/94, 17%). Vulnerability assessments were predominantly conducted in the agriculture (29/94, 31%) and environmental science (30/94, 32%) sectors. Thirteen vulnerability frameworks emerged, with the majority associated with the Intergovernmental Panel on Climate Change assessment report four framework. The primary vulnerability methods were the use of linear aggregation (66/94, 70%) and unbalanced weighting (39/94, 41%). Flooding and rainfall were the most studied climatic hazard and EWEs in Africa. Few studies assessed climate vulnerability in health science, despite its critical importance. Conclusion: Existing frameworks demonstrate growing innovation; however, their methodological rigour varies, with inadequate contextual validation of indices and models. The methodological robustness enhances the selection of models that align with the specific dynamics and context of the system being evaluated. These methods guide policymaking and resource prioritization, by quantifying climatic vulnerability. Supplementary Information: The online version contains supplementary material available at 10.1186/s44329-025-00041-7.

Indexed as

AfricaClimateClimate changeExtreme weather eventVulnerability

Identifiers

PMID41367900
PMCPMC12684232

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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.