ArticleJamba (Potchefstroom, South Africa)2024
Disaster preparedness: The role of spatial disaster learning using geospatial technology.
Article in Jamba (Potchefstroom, South Africa), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Optimising local institutional role for sustainable community preparedness in Krinjing: The slope of Merapi Volcano.Jamba (Potchefstroom, South Africa) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Preparedness for natural disasters is crucial for people living in high-risk areas along the Ring of Fire, such as people in Indonesia. Although Spatial Disaster Learning using Geospatial Technology (SDL-GeoTech) has been developed, its effectiveness in enhancing students' preparedness remains unproven. This study examines the impact of SDL-GeoTech on junior high school students' readiness using a quasi-experimental, time-series, single-group pre-post-test design. The research involved students from three schools: SMA 1 Grati Pasuruan (flood-prone), SMA 1 Puncu Kediri (volcanic eruption-prone), and SMA 3 Mataram Lombok (earthquake-prone). Data were collected through tests on knowledge, skills, and attitudes, followed by Contribution: This research teaches students to use techno-geospatial learning through SDL-GeoTech, equipping those in the Ring of Fire region to be better prepared for potential natural disasters such as earthquakes and floods. The proven analysis of SDL-GeoTech has shown that it enhances students' knowledge, skills and attitude in preparedness in dealing with disasters.
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What Socratic holds
Registered trials
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 Socratic graph.