Evidence map›Paper›PMID 34229899›Full record

ArticleRevista Colombiana de psiquiatria2021

Analysis of Perceptions and Emotional Repercussions in Twitter Users in Colombia During the COVID-19 Pandemic.

Felipe Botero-Rodríguez, Melizza Mosquera-Quiñónez, Liz Mariana Martínez Torres, Santiago Bolívar-Moná, Gabriela Jover T, Laura Vargas C, Oscar H Franco, Carlos Gómez-Restrepo

Open access · greenAbstract read
In one paragraph

Article in Revista Colombiana de psiquiatria, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 25% 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

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 2 institutions in 2 countries.

Felipe Botero-RodríguezDepartamento de Epidemiología Clínica y Bioestadística, Pontificia Universidad Javeriana, Bogotá, Colombia. Electronic address: felipe.botero@javeriana.edu.co.
Melizza Mosquera-QuiñónezFacultad de Medicina, Pontificia Universidad Javeriana, Bogotá, Colombia.
Liz Mariana Martínez TorresFacultad de Medicina, Pontificia Universidad Javeriana, Bogotá, Colombia.
Santiago Bolívar-MonáFacultad de Medicina, Pontificia Universidad Javeriana, Bogotá, Colombia.
Gabriela Jover TFacultad de Medicina, Pontificia Universidad Javeriana, Bogotá, Colombia.
Laura Vargas CFacultad de Medicina, Pontificia Universidad Javeriana, Bogotá, Colombia.
Oscar H FrancoInstitute of Social and Preventive Medicine (ISPM), University of Bern, Berna, Suiza.
Carlos Gómez-RestrepoDepartamento de Epidemiología Clínica y Bioestadística, Pontificia Universidad Javeriana, Bogotá, Colombia; Departamento de Psiquiatría y Salud Mental, Pontificia Universidad Javeriana, Bogotá, Colombia; Hospital Universitario San Ignacio, Bogotá, Colombia.
Pontificia Universidad Javeriana · COInstitute of Social and Preventive Medicine · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe COVID-19 pandemic has negatively impacted mental health. Up to a quarter of the population has reported mental health disorders. This has been studied mainly from a nosological perspective, according to diagnostic criteria. Nevertheless, we did not find studies that have explored the daily expressions of the population. Our objective was to evaluate the perceptions of the COVID-19 pandemic and its repercussions on the emotional well-being of the Colombian population.

methodsWe performed a Twitter metrics and trend analysis. Initially, in the trend analysis, we calculated the average duration in hours of the 20 most popular trending topics of the day in Colombia and we grouped them into trends related to COVID-19 and unrelated trends. Subsequently, we identified dates of events associated with the pandemic relevant to the country, and they were related to the behaviour of the trends studied. Additionally, we did an exploratory analysis of these, selected the tweets with the greatest reach and categorised them in an inductive way to analyse them qualitatively.

resultsIssues not related to COVID-19 were more far-reaching than those related to coronavirus. However, a rise in these issues was seen on some dates consistent with important events in Colombia. We found expressions of approval and disapproval, solidarity and accusation. Inductively, we identified categories of informative tweets, humour, fear, stigma and discrimination, politics and entities, citizen complaints, and self-care and optimism.

conclusionsThe impact of the COVID-19 pandemic generates different reactions in the population, which increasingly have more tools to express themselves and know the opinions of others. Social networks play a fundamental role in the communication of the population, so this content could serve as a public health surveillance tool and a useful and accessible means of communication in the management of health crises.

Indexed as

Coronavirus infectionsInfecciones por coronavirusMental healthPublic healthRed socialSalud mentalSalud públicaSocial networking

Identifiers

PMID34229899
PMCPMC8254570
OpenAlexW3176338867

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.