Evidence map›Paper›PMID 35570917›Full record

ArticleFrontiers in public health2022

Comprehensive Analysis of the COVID-19: Based on the Social-Related Indexes From NUMBEO.

Xuecan Guo, Ruiyu Chai, Yan Yao, Yanbiao Mi, Yingshuang Wang, Tianyu Feng, Junwei Tian, Bocheng Shi, Jiwei Jia, Siyu Liu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. 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
0.8field-weighted citation impact, top 33% 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, 6 citations in OpenAlex.

  1. Review
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

10 authors at 1 institution in 1 country.

Xuecan GuoDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Ruiyu ChaiDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Yan YaoDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Yanbiao MiDepartment of Computational Mathematics, School of Mathematics, Jilin University, Changchun, China.
Yingshuang WangDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Tianyu FengDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Junwei TianDepartment of Computational Mathematics, School of Mathematics, Jilin University, Changchun, China.
Bocheng ShiDepartment of Computational Mathematics, School of Mathematics, Jilin University, Changchun, China.
Jiwei JiaDepartment of Computational Mathematics, School of Mathematics, Jilin University, Changchun, China.
Siyu LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The COVID-19 has been spreading globally since 2019 and causes serious damage to the whole society. A macro perspective study to explore the changes of some social-related indexes of different countries is meaningful. Methods: We collected nine social-related indexes and the score of COVID-safety-assessment. Data analysis is carried out using three time series models. In particular, a prediction-correction procedure was employed to explore the impact of the pandemic on the indexes of developed and developing countries. Results: It shows that COVID-19 epidemic has an impact on the life of residents in various aspects, specifically in quality of life, purchasing power, and safety. Cluster analysis and bivariate statistical analysis further indicate that indexes affected by the pandemic in developed and developing countries are different. Conclusion: This pandemic has altered the lives of residents in many ways. Our further research shows that the impacts of social-related indexes in developed and developing countries are different, which is bounded up with their epidemic severity and control measures. On the other hand, the climate is crucial for the control of COVID-19. Consequently, exploring the changes of social-related indexes is significative, and it is conducive to provide targeted governance strategies for various countries. Our article will contribute to countries with different levels of development pay more attention to social changes and take timely and effective measures to adjust social changes while trying to control this pandemic.

Indexed as

COVID-19Data AnalysisHumansPandemicsQuality of LifeSARS-CoV-2climateCOVID-19k-means clustering algorithmsocial-related Indexestime series analysis

Identifiers

PMID35570917
PMCPMC9096155
OpenAlexW4285741133

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.