ArticleHeliyon2023
Cyclone exposure mapping in coastal Bangladesh: A multi-criteria decision analysis.
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.
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
3 citing papers in PubMed, 13 citations in OpenAlex.
- Perceptions of coastal dwellers about the effects of extreme temperature and saline water on human health: evidence from Bangladesh.Frontiers in public health · 2025Article
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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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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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.