ReviewHeliyon2024
Impact of natural disasters on student enrollment in higher education programs: A systematic review.
Review in Heliyon, 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, 18 citations in OpenAlex.
- Navigating cognitive strain: a qualitative study on the impact of recent flood disasters on students' educational experience in Pakistan.International journal of emergency medicine · 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
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aims to evaluate how natural disasters affect student enrollment in higher education programs, considering both immediate and long-term consequences. The PRISMA guidelines were adhered to in conducting this review. Multiple databases, such as Web of Science and Scopus, including those with articles from January 2000 to February 2023, were thoroughly searched. Articles focusing on how natural disasters affect students' enrollment in higher education programs met the inclusion requirements. A total of 22 studies were deemed eligible for inclusion and detailed analysis. The findings suggest that natural disasters have a negative influence on higher education enrollment, with the most severe effects being felt by disadvantaged populations. This study reveals that natural disasters impact various aspects of the enrollment process, such as application, acceptance, registration, attendance, retention, and graduation, in higher education due to infrastructural and psychological impacts. Key variables linking natural disasters to enrollment changes include damage to institutional infrastructure, economic and psychological strain, resource limitations, loss of social support networks, and disruptions to academic programs. Enhancing resilience involves adopting online learning, providing financial support, flexible enrollment policies, mental health services, disaster preparedness training, resilient infrastructure development, and collaborative institutional programs. The study highlights the need for comprehensive, context-specific disaster management strategies that address both immediate and long-term educational needs. It identifies potential solutions, including online learning platforms, financial aid, flexible enrollment policies, mental health support, disaster preparedness training, infrastructure resilience, and collaborative programs with other institutions. Context-specific programs are essential to support impacted students by rebuilding educational infrastructure and providing financial and emotional support, thereby ensuring their continued access to higher education. This study offers valuable insights for disaster management, educational policy, and future research on this critical issue.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.