Evidence map›Paper›PMID 41629359›Full record

ArticleScientific data2026

DEPRESS: Dataset on Emotions, Performance, Responses, Environment, and Satisfaction during COVID-19.

Xingtong Guo, Angela C Incollingo Rodriguez, Chao Wang, Elke A Rundensteiner, Shichao Liu

Abstract readDataset
In one paragraph

Article in Scientific data, 2026. 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
–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

0 citing papers in PubMed.

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

5 authors.

Xingtong GuoCivil, Environmental, and Architectural Engineering, Worcester Polytechnic Institute, 100 Institute Road, Worcester, MA, 01609, USA.
Angela C Incollingo RodriguezPsychological and Cognitive Sciences, Worcester Polytechnic Institute, 100 Institute Road, Worcester, MA, 01609, USA.ORCID http://orcid.org/0000-0003-1609-4163
Chao WangCivil, Environmental, and Architectural Engineering, Worcester Polytechnic Institute, 100 Institute Road, Worcester, MA, 01609, USA.
Elke A RundensteinerComputer Science, Worcester Polytechnic Institute, 100 Institute Road, Worcester, MA, 01609, USA.
Shichao LiuCivil, Environmental, and Architectural Engineering, Worcester Polytechnic Institute, 100 Institute Road, Worcester, MA, 01609, USA. sliu8@wpi.edu.

Funding

National Science Foundation (NSF) 1931077National Science Foundation (NSF) 2028224
6 · The paper itself

Abstract

COVID-19 posed a significant threat to the mental health of the population in general and college students in particular, severely disrupting their daily routines due to protective measures and lockdown policies. The abrupt transition from in-person to online learning further introduced uncertainty regarding academic performance. To comprehensively assess the impacts of the pandemic on college students, this study collected longitudinal data from June 2020 to June 2021, involving 184 undergraduate students at Worcester Polytechnic Institute. The dataset includes demographic and socioeconomic status information of participants, measures of mental health outcomes, online student engagement, computer and Internet performance, daily activity diary, general indoor environment satisfaction, Fitbit data, sensor measured indoor environment quality, facial expression, and GPA. To our best knowledge, this dataset is also the first dataset that covers multimodal assessment of mental health outcomes, online learning, and potential influencing variables during COVID-19. Data was gathered through online surveys, video recordings, IoT indoor environmental sensors, and Fitbit wristbands.

Indexed as

COVID-19EmotionsMental HealthPersonal SatisfactionStudentsFemaleHumansMaleYoung Adult

Identifiers

PMID41629359
PMCPMC12966386

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.