Evidence map›Paper›PMID 36718439›Full record

ArticleInternational journal of disaster risk reduction : IJDRR2023

An ethnographic study on the impacts of Covid-19 pandemic on indigenous people and their coping strategies in Bangladesh.

Joydeb Garai, Hok Bun Ku

Open access · greenAbstract read
In one paragraph

Article in International journal of disaster risk reduction : IJDRR, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
5.7field-weighted citation impact, top 4% 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

1 citing paper in PubMed, 10 citations in OpenAlex.

  1. 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

2 authors at 2 institutions in 2 countries.

Joydeb GaraiDepartment of Sociology, University of Chittagong, Chattogram, Bangladesh.
Hok Bun KuDepartment of Applied Social Sciences, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong.
Hong Kong Polytechnic University · HKUniversity of Chittagong · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has brought unprecedented suffering to the lives and livelihoods of indigenous people across the country, especially in the south-eastern parts of Bangladesh, but the situation has rarely reported by the mass media and academic literature. This study was an attempt to find out the impacts and vulnerabilities of COVID-19 on the indigenous Chakma community at Rangamati sadar (sub-district) of Rangamati (district) in the Chattogram Hill Tracts (CHT) area, Bangladesh. It also aimed to investigate how indigenous people respond to the pandemic and how they can develop resilience to adapt to the adverse situation. For conducting this study, a critical ethnographic approach was adopted, along with participant observation, in-depth interview, and focus group (FGs) for collecting data in the study area. The findings of the study indicate that the COVID-19 pandemic severely affects the traditional way of life, mythology, culture, food security, economic activities, and educational activities, along with increasing health risks for the people of the indigenous community. However, indigenous people respond to this pandemic in their own ways, involving their ancestors' works, avoiding dependence on market systems, keeping faith in traditional medicines, building close relation to nature, along with following some health guidelines announced by government. This work refutes the existing mainstream discourse that indigenous people are unwittingly vulnerable and docile in their waiting for outside assistance.

Indexed as

and ResilienceCOVID-19 pandemicIndigenous communityResponseVulnerabilities

Identifiers

PMID36718439
PMCPMC9867839
OpenAlexW4317702629

What OpenQuestion holds

Textmetadata
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.