Evidence map›Paper›PMID 40890170›Full record

ArticleScientific data2025

Projections of climate change vulnerability along the Shared Socioeconomic Pathways 2020-2100.

Janine Huisman, Rosanne Martyr, René Rott, Jeroen Smits

Abstract read
In one paragraph

Article in Scientific data, 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

4 authors.

Janine HuismanGlobal Data Lab, Economics, Institute for Management Research, Radboud University, Nijmegen, the Netherlands. Janine.huisman@ru.nl.
Rosanne MartyrClimate Analytics, Berlin, Germany.
René RottClimate Analytics, Berlin, Germany.
Jeroen SmitsGlobal Data Lab, Economics, Institute for Management Research, Radboud University, Nijmegen, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This data descriptor presents the GVI Projections Database with projections of socioeconomic vulnerability for the period 2020-2100 along three Shared Socioeconomic Pathways (SSPs) for almost all countries of the world. The projections are based on the GDL Vulnerability Index (GVI), a composite index for monitoring the human components of vulnerability to climate change, natural disasters and other shocks for societies and geographic areas across the globe. The GVI is based on an additive formula that summarizes the essence of seven major socioeconomic dimensions of vulnerability into one number. This formula approach makes it possible to compute the index for any region at any point in time for which the underlying indicators are available. We derive projections of these indicators from the SSP databases for each fifth year in the period 2020-2100. These projections are subsequently used to compute future GVI values for countries and major global regions for three SSPs: the green road scenario (SSP1), the middle of the road scenario (SSP2), and the rocky road scenario (SSP3).

Identifiers

PMID40890170
PMCPMC12402435

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.