The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Impacts of COVID-19 and social isolation on academic staff and students at universities: a cross-sectional study
Open accessAbstract
Background: “The impacts of the Coronavirus Disease 2019 (COVID-19) pandemic and the shutdown it triggered at universities across the world, led to a great degree of social isolation among university staff and students. The aim of this study was to identify the perceived consequences of this on staff and their work and on students and their studies at universities. Method: The study used a variety of methods, which involved an on-line survey on the influences of social isolation using a non-probability sampling. More specifically, two techniques were used, namely a convenience sampling (i.e. involving members of the academic community, which are easy to reach by the study team), supported by a snow ball sampling (recruiting respondents among acquaintances of the participants). A total of 711 questionnaires from 41 countries were received. Descriptive statistics were deployed to analyse trends and to identify socio-demographic differences. Inferential statistics were used to assess significant differences among the geographical regions, work areas and other socio-demographic factors related to impacts of social isolation of university staff and students. Results: The study reveals that 90% of the respondents have been affected by the shutdown and unable to perform normal work or studies at their institution for between 1 week to 2 months. While 70% of the respondents perceive negative impacts of COVID 19 on their work or studies, more than 60% of them value the additional time that they have had indoors with families and others. . Conclusions: While the majority of the respondents agree that they suffered from the lack of social interaction and communication during the social distancing/isolation, there were significant differences in the reactions to the lockdowns between academic staff and students. There are also differences in the degree of influence of some of the problems, when compared across geographical regions. In addition to policy actions that may be deployed, further research on innovative methods of teaching and communication with students is needed in order to allow staff and students to better cope with social isolation in cases of new or recurring pandemics.
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Cites
The Ecology of Human Development: Experiments by Nature and Design
Bronfenbrenner, U. (1979) · Harvard University Press eBooks · doi:10.4159/9780674028845 · Cited by 26,084
The ecology of human development : experiments by nature and design
Bronfenbrenner, U. (1979) · Cited by 12,580
The psychological impact of the COVID-19 epidemic on college students in China
Cao, W., Fang, Z., Hou, G., Han, M., Xu, X., Dong, J., & Zheng, J. (2020) · Psychiatry Research · doi:10.1016/j.psychres.2020.112934 · Cited by 5,843
The ecology of human development: Experiments by nature and design
Garbarino, J. (1980) · Children and Youth Services Review · doi:10.1016/0190-7409(80)90036-5 · Cited by 5,527
Social relationships and health a flashpoint for health policy
Umberson, D., & Karas Montez, J. (2010) · Journal of Health and Social Behavior · doi:10.1177/0022146510383501 · Cited by 2,639
Sahu, P. (2020) · Cureus · doi:10.7759/cureus.7541 · Cited by 2,353
COVID ‐19 and online teaching in higher education: A case study of Peking University
Bao, W. (2020) · Human Behavior and Emerging Technologies · doi:10.1002/hbe2.191 · Cited by 2,268 · cited 1×
“One consequence is that HEIs in many countries directed their teaching staff to move teaching and learning to online platforms - where possible - without delay, and to do so as comprehensively as possible [4, 5].”
BackgroundSocial disconnectedness, perceived isolation, and health among older adults
Cornwell, E. Y., & Waite, L. J. (2009) · Journal of Health and Social Behavior · doi:10.1177/002214650905000103 · Cited by 2,027 · cited 1×
“Social isolation has been understood as both an objective phenomenon experienced by individuals, such as that characterised by a ‘lack of social interaction’ [19], ‘the actual lack of social ties’ [20], and ‘social disconnectedness’ [21].”
BackgroundOnline mental health services in China during the COVID-19 outbreak
Liu, S., Yang, L., Zhang, C., Xiang, Y.-T., Liu, Z., Hu, S., & Zhang, B. (2020) · The Lancet Psychiatry · doi:10.1016/s2215-0366(20)30077-8 · Cited by 1,992 · cited 1×
“[50] reports on the development of Chinese public emergency interventions”
BackgroundCOVID-19, school closures, and child poverty: a social crisis in the making
Van Lancker, W., & Parolin, Z. (2020) · The Lancet Public Health · doi:10.1016/s2468-2667(20)30084-0 · Cited by 1,411
Metadata
- Authors
- Leal Filho, W., Wall, T., Rayman-Bacchus, L., Mifsud, M., Pritchard, D. J., Lovren, V. O., Farinha, C., Petrovic, D. S., & Balogun, A.-L.
- Venue
- BMC Public Health
- Published
- 2021-06-24
- Volume
- 21
- Issue
- 1
- Pages
- 1213-1213
- ISSN
- 1471-2458 (ISSN-L)
- OpenAlex
- W3169014226
- Cited by
- 281
- References
- 43
- FWCI
- 36.39
- Type
- journal article
- Language
- en
- Open access
- gold
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- Leal Filho, W., Wall, T., Rayman-Bacchus, L., Mifsud, M., Pritchard, D. J., Lovren, V. O., Farinha, C., Petrovic, D. S., & Balogun, A.-L. (2021). Impacts of COVID-19 and social isolation on academic staff and students at universities: a cross-sectional study. BMC Public Health. https://doi.org/10.1186/s12889-021-11040-z
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.