Evidence map›Paper›PMID 32904946›Full record

ArticleJournal of public affairs2021

Socioeconomic impact of COVID-19 pandemic: Evidence from rural mountain community in Pakistan.

Amjad Ali, Mumtaz Ahmed, Nazia Hassan

Open access · bronzeAbstract read
In one paragraph

Article in Journal of public affairs, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 9% 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 69 citations in OpenAlex.

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  15. An intelligent framework to predict socioeconomic impacts of COVID-19 and public sentiments.Computers & electrical engineering : an international journal · 2021
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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

3 authors at 2 institutions in 2 countries.

Amjad AliDepartment of Development Studies Karakoram International University Hunza Campus Karimabad Hunza Gilgit-Baltistan Pakistan.ORCID https://orcid.org/0000-0002-5840-8848
Mumtaz AhmedIndependent ICT consultant Pakistan.
Nazia HassanDepartment of Economics Karakoram International University Gilgit Pakistan.
Karakoram International University · PKOldham Council · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examines the trend of the spread of coronavirus disease (COVID-19) pandemic in Pakistan and to explore the community perception of the socioeconomic impact of COVID-19 pandemic in a rural mountain area of Pakistan. An online survey was conducted through snowball sampling technique and total 367 people participated in the survey. The results of the study show that COVID-19 cases spiked amid ease of lockdown in the country and the spread of novel coronavirus pandemic has significant socioeconomic impact on the lives of mountain communities in Gilgit-Baltistan. Financial uncertainty, decrease in income, fear of job loss, and food insecurity are some major challenges that mountain communities face due to outbreak of coronavirus in the region. The results further show that lack of community cooperation with government agencies, lack of awareness about the severity of coronavirus, and insufficient COVID-19 testing kits are the major factors that caused the spread of coronavirus cases. This study suggests that the short-, medium-, and long-term policies are required to mitigate the consequences of this pandemic and to revitalize the mountain economy of Gilgit-Baltistan, and in this regard, this study provides baseline information for policy-makers and practitioners to devise such demanding policies.

Identifiers

PMID32904946
PMCPMC7460993
OpenAlexW3080635282

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.