Evidence map›Paper›PMID 36193448›Full record

ArticleSN social sciences2022

Understanding rural local government response during COVID-19-induced lockdown: perspective from Bangladesh.

Md Salman Sohel, Shah Md Azimul Ehsan, Noshin Tasnim Zaman, Babul Hossain, Guoqin Shi, Md Nazirul Islam Sarker, Habib Mohammad Ali

Abstract read
In one paragraph

Article in SN social sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

7 authors.

Md Salman SohelNational Research Center for Resettlement, Hohai University, Nanjing, China.
Shah Md Azimul EhsanDepartment of Public Administration, Jagannath University, Dhaka, Bangladesh.ORCID 0000-0002-3686-0534
Noshin Tasnim ZamanSchool of Humanities and Social Sciences, BRAC University, Dhaka, Bangladesh.
Babul HossainNational Research Center for Resettlement, Hohai University, Nanjing, 210000 China.
Guoqin ShiNational Research Center for Resettlement, Hohai University, Nanjing, 210000 China.
Md Nazirul Islam SarkerSchool of Social Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia.
Habib Mohammad AliUniversity Liberal Arts Bangladesh, Dhaka, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study intends to explore the responses of local government during the COVID-19-induced lockdown in the rural areas, with particular emphasis on Bangladesh. By adopting a qualitative phenomenological research approach and employing multi-method data collection techniques (for instance, Key Informant Interview (KII), Focus Group Discussion (FGD), participant observation, and content analysis), this study found that the local governments managed the crisis of the pandemic relatively well with its limited manpower and funding through adequate preparedness and prevention strategies; effective emergency responses; and consolidated post-lockdown measures. The study revealed that the Bangladesh local government promptly took some essential actions, such as preparedness and prevention, arrangement of home quarantine and isolation, the training program for readiness, and disseminated crucial information to the local people during the pandemic, such as using masks, hand washing and sanitizing, and social distancing. Besides, the local government delivered relief, such as food and non-food items and financial support. Furthermore, the rural local government took post-lockdown responses to tackle pandemic in rural Bangladesh. Nevertheless, the service delivery individuals from local governance encountered numerous challenges, like scarcity of manpower, less support, and superstition, while providing services during the pandemic.

Indexed as

BangladeshCOVID-19Local governmentLockdownResponse

Identifiers

PMID36193448
PMCPMC9520961

What OpenQuestion holds

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Registered trials

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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.