Evidence map›Paper›PMID 37928379›Full record

ArticleHeliyon2023

Cyclone exposure mapping in coastal Bangladesh: A multi-criteria decision analysis.

Md Saidul Islam Arif, Ibnul Mahdi, Md Adil Rafi, Saadmaan Jubayer Khan, Md Mostafizur Rahman

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.8field-weighted citation impact, top 10% of its field
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

3 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

5 authors at 1 institution in 1 country.

Md Saidul Islam ArifDepartment of Disaster Management & Resilience, Faculty of Arts and Social Sciences, Bangladesh University of Professionals, Dhaka-1216, Bangladesh.
Ibnul MahdiDepartment of Disaster Management & Resilience, Faculty of Arts and Social Sciences, Bangladesh University of Professionals, Dhaka-1216, Bangladesh.
Md Adil RafiDepartment of Disaster Management & Resilience, Faculty of Arts and Social Sciences, Bangladesh University of Professionals, Dhaka-1216, Bangladesh.
Saadmaan Jubayer KhanDepartment of Disaster Management & Resilience, Faculty of Arts and Social Sciences, Bangladesh University of Professionals, Dhaka-1216, Bangladesh.
Md Mostafizur RahmanDepartment of Disaster Management & Resilience, Faculty of Arts and Social Sciences, Bangladesh University of Professionals, Dhaka-1216, Bangladesh.
Bangladesh University of Professionals · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Owing to its geographical location, Bangladesh is highly exposed to natural disasters: the northern part is at risk of floods, while the southern part suffers from cyclones, storm surges, and salinity intrusion. This study aims to quantify the exposure to cyclones in Taltali, a southern coastal upazila of Bangladesh. To quantify the exposure, the study used 6 criteria, including elevation, slope, proximity to major water bodies, population density, proximity to cyclone tracks and land use and land cover, and produced maps focusing on each criterion. The overall exposure map was also created to observe the whole scenario of the upazila. All the analysis was done in a GIS environment using the Analytic Hierarchy Process (AHP) method. The individual criterion map represents the status of the study area in different classes. And the overall exposure map revealed that about 60 % of the study area was quantified as very highly exposed to cyclones, including 4 unions- Barabagi, Chhota Bagi, Karaibaria, Pancha Koralia and 6 Rakhain paras- Taltali, Monukhe, Momeshi, Agathakur, Saton, and Sawdagar. In numerical terms, about 8032 ha and 178 ha of land are counted as highly and moderately exposed to cyclones, respectively. Among the seven unions, the maximum area of the Barabagi and Chhota Bagi was found to be very highly exposed, followed by Panchakoralia and Karaibaria. Data from our previous study also validated the results of this study. Despite having some limitations, the study can be used to develop the capacity of the community to respond to cyclones. And the national and international communities can use the results to formulate policies regarding disaster risk reduction and risk mitigation.

Indexed as

Analytical hierarchy processCoastal BangladeshCyclone exposure map

Identifiers

PMID37928379
PMCPMC10622688
OpenAlexW4387783686

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.