Evidence map›Paper›PMID 34376445›Full record

ArticleBMJ open2021

Impact of the COVID-19 pandemic on rural communities: a cross-sectional study in the Sichuan Province of China.

Mohsin Shafi, Junrong Liu, Deng Jian, Imran Ur Rahman, Xunwei Chen

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.8field-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

3 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

5 authors at 1 institution in 1 country.

Mohsin ShafiCenter for Trans-Himalaya Studies, Leshan Normal University, Leshan, Sichuan, China.ORCID 0000-0002-4517-6099
Junrong LiuCenter for Trans-Himalaya Studies, Leshan Normal University, Leshan, Sichuan, China.
Deng JianSchool of Economics and Management, Leshan Normal University, Leshan, Sichuan, China.
Imran Ur RahmanCenter for Trans-Himalaya Studies, Leshan Normal University, Leshan, Sichuan, China 2388018157@qq.com.
Xunwei ChenCenter for Trans-Himalaya Studies, Leshan Normal University, Leshan, Sichuan, China.
Leshan Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveRecently, China has experienced a considerable influence of the COVID-19 pandemic on the local people's health and economy. Hence, the current research aims to investigate the psychological and socioeconomic impact of COVID-19 on rural communities in the Sichuan Province of China.

methodsA total of 499 participants (village representatives of Sichuan Province) were approached to partake in a cross-sectional online survey and share their experience regarding the ongoing pandemic. The descriptive statistics and ordinary least squares (OLS) regression were used to analyse the data.

resultsOur analysis revealed that the pandemic has significantly affected local people psychologically, leading to socioeconomic vulnerability. Notably, we find that local households are worried about their income losses regardless of their socioeconomic status (40%-43%), level of income (37%-43%) and industry involvement (38%-43%). However, as income increases, the level of stress decreases. The results further show that government transfer payment is a significant factor in reducing stress due to its reliable and uninterrupted income flow. Contrary to our proposition, the pandemic stress was less observed, which might be because of people's trust in government and effective antiepidemic countermeasures to contain the disease.

conclusionThis study finds that COVID-19 has a significant impact on local people's health, psychology and income. This study is one of the first to provide empirical evidence regarding the early health and socioeconomic effects of COVID-19 at the household level in rural communities, which are very important to devise policies to ease the outbreak and prevent further losses at the local community level.

Indexed as

COVID-19PandemicsChinaCross-Sectional StudiesHumansRural PopulationSARS-CoV-2Surveys and QuestionnairesCOVID-19public health

Identifiers

PMID34376445
PMCPMC8359857
OpenAlexW3192468347

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.