Evidence map›Paper›PMID 35565099›Full record

ArticleInternational journal of environmental research and public health2022

Analysis of the Effects of Lockdown on Staff and Students at Universities in Spain and Colombia Using Natural Language Processing Techniques.

Mario Jojoa, Begonya Garcia-Zapirain, Marino J Gonzalez, Bernardo Perez-Villa, Elena Urizar, Sara Ponce, Maria Fernanda Tobar-Blandon

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and 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
2.8field-weighted citation impact, top 10% 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, 9 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

7 authors at 4 institutions in 4 countries.

Mario JojoaDepartment of Computer Science, Engineering Faculty, Electronics and Telecommunications University of Deusto, 48014 Bilbao, Spain.ORCID 0000-0002-6578-071X
Begonya Garcia-ZapirainDepartment of Computer Science, Engineering Faculty, Electronics and Telecommunications University of Deusto, 48014 Bilbao, Spain.ORCID 0000-0002-9356-1186
Marino J GonzalezUnit of Public Policy, Simon Bolivar University, Caracas 89000, Venezuela.ORCID 0000-0002-6204-272X
Bernardo Perez-VillaHeart, Vascular and Thoracic Institute, Cleveland Clinic Florida, Weston, FL 33331, USA.ORCID 0000-0001-6518-9789
Elena UrizarDeusto Business School Health, University of Deusto, 48014 Bilbao, Spain.
Sara PonceInternational Research Projects Office (IRPO), University of Deusto, 48014 Bilbao, Spain.
Maria Fernanda Tobar-BlandonPublic Health School, Universidad del Valle, Cali 76001, Colombia.
Universidad de Deusto · ESCleveland Clinic Florida · USSimón Bolívar University · VEUniversidad del Valle · CO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study is to analyze the effects of lockdown using natural language processing techniques, particularly sentiment analysis methods applied at large scale. Further, our work searches to analyze the impact of COVID-19 on the university community, jointly on staff and students, and with a multi-country perspective. The main findings of this work show that the most often related words were "family", "anxiety", "house", and "life". Besides this finding, we also have shown that staff have a slightly less negative perception of the consequences of COVID-19 in their daily life. We have used artificial intelligence models such as swivel embedding and a multilayer perceptron as classification algorithms. The performance that was reached in terms of accuracy metrics was 88.8% and 88.5% for students and staff, respectively. The main conclusion of our study is that higher education institutions and policymakers around the world may benefit from these findings while formulating policy recommendations and strategies to support students during this and any future pandemics.

Indexed as

COVID-19Artificial IntelligenceColombiaCommunicable Disease ControlHumansNatural Language ProcessingSARS-CoV-2SpainStudentsUniversitiescontinentsCOVID-19habitsinstitutionsmental healthnatural language processingonline learningperceptionsatisfactionsocio-demographic factorsSwivel embeddinguniversity studentword cloud

Identifiers

PMID35565099
PMCPMC9104371
OpenAlexW4229331749

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.