Cited by 48Disaster Management and ResilienceDisaster Response and ManagementPublic Relations and Crisis Communication

Exploring disaster preparedness of students at university in Bangladesh

Hasan, Md. Khalid, Moriom, Masuma, Shuprio, Shariaj Ibna Mizan, Younos, Tahmina Bintay, Chowdhury, Md. Arif·2022·Natural Hazards

Integrity signals

Registry

Crossref · 10.1007/s11069-021-05080-2

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

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Claims other papers make about this one

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Cites

Flagged first, then by citations

Authors
Hasan, M. K., Moriom, M., Shuprio, S. I. M., Younos, T. B., & Chowdhury, M. A.
Affiliations
  • Universidad de Oviedo (ES)
  • University of Dhaka (BD)
  • Jashore University of Science and Technology (BD)
Corresponding author
Hasan, Md. Khalid
Venue
Natural Hazards
Published
2021-11-03
Volume
111
Issue
1
Pages
817-849
ISSN
  • 0921-030X (ISSN-L)
  • 1573-0840
OpenAlex
W3210843143
Cited by
48
References
2
Citations by year
2026: 10 · 2025: 16 · 2024: 9 · 2023: 10 · 2022: 3
FWCI
6.99
Type
journal article
Language
en
Open access
closed
Locations
  • Natural Hazards (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Disaster Management and Resilience
  • Health Sciences › Health Professions › Emergency Medical Services › Disaster Response and Management
  • Social Sciences › Communication › Public Relations and Crisis Communication
Keywords
disaster preparedness, university students, disaster knowledge, perceived preparedness, gender differences, disaster education, disaster management training, Bangladesh

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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