Evidence map›Paper›PMID 36816443›Full record

ArticleJournal of migration and health2023

Analysis of the livelihood and health of internally displaced persons due to riverbank erosion in Bangladesh.

Z R M Abdullah Kaiser

Abstract read
In one paragraph

Article in Journal of migration and health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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

1 author.

Z R M Abdullah KaiserDepartment of Public Administration, University of Chittagong, Chattogram 4331, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bangladesh is particularly vulnerable to natural calamities such as flooding, cyclones, droughts, and severe riverbank erosion as a deltaic country. Riverbank erosion brings about terrible consequences such as loss of land, human displacement, social isolation, and physical and mental well-being problems. The study used a mixed-method research approach and a multi-method data collection procedure to analyse the impact of riverbank erosion on livelihood and health. Households of Internally Displaced Persons (IDPs) due to riverbank erosion in Bangladesh's Lakshmipur district were surveyed using a structured questionnaire and an unstructured interview schedule to collect quantitative and qualitative data. Thematic content analysis, and descriptive statistics were applied to identify how riverbank erosion is inextricably linked to the IDPs' socio-economic conditions and well-being vulnerability. The findings show that riverbank erosion is responsible for the IDPs' livelihood uncertainty and substantial health concerns. Uncertainty about livelihood gives rise to socio-economic instability, poverty, diseases, and medical expenses. On top of that, the displaced people faced several difficulties, including no land ownership, living in substandard housing, no access to power, use of unhygienic toilets, social isolation, and anxiety. The research also finds inadequate government or non-governmental master plans for IDPs to overcome miserable conditions. The study results will help policymakers in Bangladesh and elsewhere to better understand the needs of vulnerable riverine communities and to design and implement policies and programmes to improve those communities' capacity to withstand shocks and recover quickly.

Indexed as

BangladeshInternally displaced personsLivelihoodRiverbank erosionWell-being

Identifiers

PMID36816443
PMCPMC9932462

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.