Evidence map›Paper›PMID 41647901›Full record

ReviewJamba (Potchefstroom, South Africa)2026

Assessment of social vulnerability to floods in the Samin watershed, Indonesia.

Suryanto Suryanto, Sofyan Sholeh, Rahning Utomowati, Agung Hidayat

Abstract readReview
In one paragraph

Review 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

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

4 authors.

Suryanto SuryantoDepartment of Economics, Faculty of Economics and Business, Universitas Sebelas Maret, Surakarta, Indonesia.ORCID https://orcid.org/0000-0002-3763-9639
Sofyan SholehDepartment of Environmental Science, Graduate School, Universitas Sebelas Maret, Surakarta, Indonesia.ORCID https://orcid.org/0009-0009-2938-2413
Rahning UtomowatiDepartment of Geography Education, Faculty of Teacher Training and Education, Universitas Sebelas Maret, Surakarta, Indonesia.ORCID https://orcid.org/0009-0002-1332-0962
Agung HidayatDepartment of Environmental Science, Graduate School, Universitas Sebelas Maret, Surakarta, Indonesia.ORCID https://orcid.org/0000-0002-1724-6547

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Floods are a natural hazard that has a major impact on society because of deaths, injuries, property damage, and economic losses. In the context of exposure to flooding, there is a gap between communities or individuals in each region in responding to and dealing with its impacts because of differences in demographic characteristics, regional structure, availability of facilities, and existing disaster prevention and management efforts. In this study, we assessed social vulnerability to flooding in the Samin watershed using the social vulnerability index (SoVI). Social vulnerability index is a quantitative measure that is widely applied to evaluate social vulnerability. This study compiles the stages of indicator selection, data collection, statistical analysis and normalisation, determination of indicator weights and dimensions using principal component analysis, aggregation of indicators, construction of SoVI, and mapping of results. The results show that dimensions related to demographics and exposure are the causes of the majority of social vulnerability variability. Other important dimensions include the socio-economic dimension and growth ratio. Contribution: Spatial data-based social vulnerability measurement can be used by the government as a basis for formulating flood disaster management policies in the Samin watershed area.

Indexed as

floodGISPCAsocio-economicSoVI

Identifiers

PMID41647901
PMCPMC12869532

What OpenQuestion holds

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LicenceCC BY
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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.