Evidence map›Paper›PMID 41408012›Full record

ArticleEnvironmental science and pollution research international2025

Quantitative assessment of landslide hazard and risk at regional-scale: a case study from central Vietnam.

Raja Das, Pham Van Tien, Karl W Wegmann

Abstract read
In one paragraph

Article in Environmental science and pollution research international, 2025. 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

3 authors.

Raja DasCenter for Geospatial Analytics, North Carolina State University, 2800 Faucette Dr, Raleigh, NC, 27695, USA. rdas3@ncsu.edu.ORCID http://orcid.org/0009-0001-3220-8899
Pham Van TienInstitute of Earth Sciences, Vietnam Academy of Science and Technology, No. 68 Huynh Thuc Khang Street, Hanoi, Vietnam.
Karl W WegmannCenter for Geospatial Analytics, North Carolina State University, 2800 Faucette Dr, Raleigh, NC, 27695, USA.

Funding

Vietnam Academy of Science and Technology KHCBTĐ.02/24-25
6 · The paper itself

Abstract

Effective management of landslide hazards depends on the ability to accurately predict their location, size, and timing, enabling effective strategies to mitigate their impact, safeguard communities, and reduce societal risks. This study details a comprehensive probabilistic landslide hazard assessment at a regional scale in central Vietnam, analyzing spatial, temporal, and magnitude probabilities of landslides and proposes a methodology for quantitative landslide risk assessment. This study utilized a total of 21,234 landslide occurrences from three inventories created from Typhoon Ketsana (2009), Tropical Storm Podul (2013), and Typhoon Molave (2020) for the landslide hazard and risk assessment. The landslide spatial probability was delineated for three landslide size classes (

Indexed as

LandslidesCyclonic StormsRisk AssessmentVietnamIndex of connectivity (IC)Landslide riskLandslide susceptibilityMachine learningProbabilistic landslide hazard

Identifiers

PMID41408012
PMCPMC12804295

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.