Evidence map›Paper›PMID 41960365›Full record

ArticleJamba (Potchefstroom, South Africa)2026

Flood vulnerability in township informal settlements.

Sazi W Gcabashe, Sareesha Pillay

Abstract read
In one paragraph

Article in Jamba (Potchefstroom, South Africa), 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

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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

2 authors.

Sazi W GcabasheDepartment of Public Management and Leadership, Faculty of Humanities, Nelson Mandela University, Gqeberha, South Africa.ORCID https://orcid.org/0000-0001-7011-2081
Sareesha PillayDepartment of Public Management and Leadership, Faculty of Humanities, Nelson Mandela University, Gqeberha, South Africa.ORCID https://orcid.org/0000-0002-8353-159X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Migration has shaped townships into hubs of urban informality that are characterised by the propagation of informal settlements. With their expansion, informal settlements have become increasingly vulnerable to the devastating impacts of hazards. This article explored factors that influence flood vulnerability in township informal settlements in the NMBM. Framed by the Integrated Vulnerability Approach by McEntire, the study collected secondary data sources from reputable online repositories and digital media platforms using keywords. Data were analysed through thematic analysis. The findings reveal that flood vulnerability in the case study is conceived by a combination of the nature and location of informal settlements. The population characteristics of informal settlement dwellers and the marginalisation of infrastructural public service drive them to occupy hazard prone vacant land in 'stressed areas'. Despite the risk factor of their hazard-prone locations, informal settlement dwellers hold a 'sense of place' because of socioeconomic locational advantage and cultural resonance with their settlements that keeps them in their settlements. The study contends that flood vulnerability in informal settlements in townships occurs in combination of biophysical and social vulnerability. The study recognises that the population characteristics of the informal settlements are influenced by migration and its resultant socioeconomic conditions for low-skilled migrants. Contribution: The study demonstrates that the conception of informal settlements in townships and the legacies thereof are key origins of the infrastructural, public service delivery socioeconomic deficits in these settlements that drive the interactions of biophysical and social vulnerabilities.

Indexed as

floodsinformal settlementsintegrated vulnerabilityNelson Mandela Bay Municipalitytownshipsurbanisationvulnerability

Identifiers

PMID41960365
PMCPMC13058519

What OpenQuestion holds

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LicenceCC BY
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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.