Evidence map›Paper›PMID 40632704›Full record

ArticlePloS one2025

Cyclone vulnerability assessment of the central coast of Bangladesh: A comprehensive study utilizing FAHP and geospatial techniques.

Md Abdullah Salman, Mahmudul Hasan Rakib, Shacin Chandra Saha, Md Emdadul Haque, Md Sabbir Hossen

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

5 authors.

Md Abdullah SalmanDepartment of Geology and Mining, University of Barishal, Barishal, Bangladesh.ORCID https://orcid.org/0000-0001-8637-5388
Mahmudul Hasan RakibDepartment of Geology and Mining, University of Barishal, Barishal, Bangladesh.
Shacin Chandra SahaDepartment of Geology and Mining, University of Barishal, Barishal, Bangladesh.ORCID https://orcid.org/0009-0004-4007-145X
Md Emdadul HaqueDepartment of Geology and Mining, University of Barishal, Barishal, Bangladesh.
Md Sabbir HossenDepartment of Geology and Mining, University of Barishal, Barishal, Bangladesh.ORCID https://orcid.org/0009-0003-1946-8340

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coastal areas of Bangladesh are recognized as a major South Asian center for cyclone landfall. This research develops a comprehensive tropical cyclone mapping strategy utilizing the Fuzzy Analytical Hierarchy Process (FAHP) and geospatial techniques to analyze the vulnerability distribution in the central coastal regions of Bangladesh. Eighteen spatial features, categorized into physical, social, and mitigation capacity criteria, were assessed to evaluate vulnerability. The output indicates that the southern peripheral districts- Bhola, Borgona, and Patuakhali are more vulnerable to tropical cyclones due to factors such as historical cyclone tracks, proximity to the coastline, low elevation, gentle slopes, high population density (including vulnerable groups such as females, the disabled, and agricultural workers), poor socioeconomic status, and land covers (crops and vegetations) prone to damage. Mitigation measures in these areas, including cyclone warnings, embankments, and access to shelters and road networks, are found to be inadequate. Validation through ROC and AUC confirms the accuracy of vulnerability maps. These findings offer critical insights for policymakers, local NGOs, and local administrators to enhance cyclone preparedness and develop targeted mitigation strategies to reduce vulnerability in coastal Bangladesh.

Indexed as

Cyclonic StormsBangladeshDisaster PlanningHumansVulnerable Populations

Identifiers

PMID40632704
PMCPMC12240350

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LicenceCC BY
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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.