The DOI matches its DataCite record.
Cross-country dataset C19 ISWS
Abstract
As a large international consortium of 26 countries and 133 higher-education institutions (HEIs), we successfully developed and executed an online student survey during or directly after the initial peak of the COVID-19 pandemic. The COVID-19 International Student Well-being Study (C19 ISWS) is a cross-sectional multicountry study that collected data on highereducation students during the COVID-19 outbreak in the spring of 2020. The dataset allows description of: (1) living conditions, financial conditions, and academic workload before and during the COVID-19 outbreak; (2) the current level of mental well-being and effects on healthy lifestyles; (3) perceived stressors; (4) resources (e.g., social support and economic capital); (5) knowledge related to COVID-19; and (6) attitudes toward COVID-19 measures implemented by the government and relevant HEI. The dataset additionally includes information about COVID-19 measures taken by the government and HEI that were in place during the period of data collection. The collected data provide a comprehensive and comparative dataset on student well-being.
Overview
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In the citing paper
“Four databases14,52,118,208 were included.”
From Prevalence and severity of mental health problems in early-career researchers: a systematic review and meta-analysis (2026) · cites this paper as [208]
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Dreisoerner, A., Goetz, V., Frohnmayer, D., Tran, U. S., Voracek, M., & Nater, U. M. (2026) · Nature Human Behaviour · doi:10.1038/s41562-026-02505-5 · Cited by 2
Metadata
- Authors
- Buffel, V., & Van De Velde, S.
- Venue
- Zenodo
- Publisher
- Zenodo
- Published
- 2022-02-02
- References
- 0
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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