Evidence map›Paper›PMID 33082338›Full record

ArticleScientific data2020

CoVidAffect, real-time monitoring of mood variations following the COVID-19 outbreak in Spain.

Carlos Bailon, Carmen Goicoechea, Oresti Banos, Miguel Damas, Hector Pomares, Angel Correa, Daniel Sanabria, Pandelis Perakakis

Abstract readDataset
In one paragraph

Article in Scientific data, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
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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

8 authors.

Carlos BailonResearch Center for Information and Communication Technologies (CITIC), University of Granada, Granada, Spain.ORCID http://orcid.org/0000-0001-5049-334X
Carmen GoicoecheaMind, Brain and Behavior Research Center (CIMCYC), University of Granada, Granada, Spain.
Oresti BanosResearch Center for Information and Communication Technologies (CITIC), University of Granada, Granada, Spain.
Miguel DamasResearch Center for Information and Communication Technologies (CITIC), University of Granada, Granada, Spain.ORCID http://orcid.org/0000-0003-2599-8076
Hector PomaresResearch Center for Information and Communication Technologies (CITIC), University of Granada, Granada, Spain.
Angel CorreaMind, Brain and Behavior Research Center (CIMCYC), University of Granada, Granada, Spain.
Daniel SanabriaMind, Brain and Behavior Research Center (CIMCYC), University of Granada, Granada, Spain.
Pandelis PerakakisMind, Brain and Behavior Research Center (CIMCYC), University of Granada, Granada, Spain. peraka@ugr.es.

Funding

Ministerio de Economía y Competitividad (Ministry of Economy and Competitiveness) PGC2018-098813-B-C31Ministerio de Economía y Competitividad (Ministry of Economy and Competitiveness) RTI2018-101674-B-I00Ministerio de Educación, Cultura y Deporte (Ministry of Education, Culture and Sports, Spain) FPU16/04376
6 · The paper itself

Abstract

The COVID-19 outbreak and the ensuing confinement measures are expected to bear a significant psychological impact on the affected populations. To date, all available studies designed to investigate the psychological effects of this unprecedented global crisis are based on cross-sectional surveys that do not capture emotional variations over time. Here, we present the data from CoVidAffect, a nationwide citizen science project aimed to provide longitudinal data of mood changes following the COVID-19 outbreak in the spanish territory. Spain is among the most affected countries by the pandemic, with one of the most restrictive and prolonged lockdowns worldwide. The project also collected a baseline of demographic and socioeconomic data. These data can be further analyzed to quantify emotional responses to specific measures and policies, and to understand the effect of context variables on psychological resilience. Importantly, to our knowledge this is the first dataset that offers the opportunity to study the behavior of emotion dynamics in a prolonged lockdown situation.

Indexed as

AffectBetacoronavirusCoronavirus InfectionsCOVID-19EmotionsHumansPandemicsPneumonia, ViralQuarantineResilience, PsychologicalSARS-CoV-2Social IsolationSpain

Identifiers

PMID33082338
PMCPMC7576809

What OpenQuestion holds

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LicenceCC BY
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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.