COVID-19 and digital inequalities: Reciprocal impacts and mitigation strategies
Open accessAbstract
With more than three billion people in isolation, the status of digital spaces is switching from an amenity to a necessity, as they become not only the main way to access information and services, but also one of the only remaining vectors for economic, educational, and leisure activities as well as for social interactions to take place. However, not all are equals in terms of access to networks or connected devices, or when it comes to the skills required to navigate computerized spaces optimally. Digital inequalities were already existing, yet the COVID-19 crisis is exacerbating them dramatically. On the one hand, the crisis will worsen digital inequalities within the population. On the other hand, digital inequalities represent a major risk factor of vulnerability for exposure to the virus itself, and for the non-sanitary consequences of the crisis. Therefore, this paper aims at exploring the reciprocal impacts of the COVID-19 crisis and digital inequalities, and to propose operative solutions to help fight the nefarious consequences of the crisis. We first describe how digital inequalities are a determinant of health. We then investigate how COVID-19 can potentiate digital inequalities, and how digital inequalities potentiate vulnerability to COVID-19. Finally, in order to contribute to the mitigation of this crisis, we propose a set of multi-layered strategies focusing on actionability that can be implemented at multiple structural levels, ranging from governmental to corporate and community levels.
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The ramifications of the digital divide were amplified during the COVID-19 pandemic, as youth with limited access to digital devices and high-speed broadband were further disenfranchised when schooling went online.
“The ramifications of the digital divide were amplified during the COVID-19 pandemic, as youth with limited access to digital devices and high-speed broadband were further disenfranchised when schooling went online (Beaunoyer et al., 2020).”
From Technologizing Bronfenbrenner: Neo-ecological Theory. (2023) · cites this paper as Beaunoyer et al., 2020
In “How COVID-19 potentiates digital inequalities” (page unavailable), the paper says the pandemic worsened disparities in access to devices and fast Internet connections, including for learning. It also calls digital access essential to education during COVID-19, but does not specifically say that youth were further disenfranchised when schooling moved online. (LLM, conf=0.86)
Experimental — accuracy not yet measuredHealth information about COVID prevention, testing, and vaccines was primarily transmitted through digital media, making lower socioeconomic and rural youth more vulnerable to the virus.
“In addition to social isolation, health information about COVID prevention, testing, and vaccines was primarily transmitted through digital media, making lower socioeconomic and rural youth more vulnerable to the virus itself (Beaunoyer et al., 2020).”
From Technologizing Bronfenbrenner: Neo-ecological Theory. (2023) · cites this paper as Beaunoyer et al., 2020
In “Vulnerability to the virus itself” (page unavailable), the paper says official agencies mainly used digital spaces to communicate protective measures and that rural residents can be difficult to reach, increasing vulnerability to infection. It does not establish that information about testing or vaccines was mainly delivered digitally, or specifically identify lower-socioeconomic and rural youth as the affected group. (LLM, conf=0.88)
Experimental — accuracy not yet measuredThe COVID-19 pandemic has increased digital inequalities further.
“The COVID-19 pandemic has increased digital inequalities further”
From COVID-19 and teacher education: a literature review of online teaching and learning practices (2020) · cites this paper as Beaunoyer, Dupéré, and Guitton 2020
The section “How COVID-19 potentiates digital inequalities” says COVID-19 is “bound to deepen existing digital inequalities” and that digital exclusion is “likely to get exacerbated.” This supports the direction of the claim, but the paper frames the increase as an expectation rather than an established outcome, whereas “has increased” states it as fact. (LLM, conf=0.82)
Experimental — accuracy not yet measuredLimited access to technology and internet has affected the normal development of teaching and learning practices.
“These have not only affected the normal development of teaching and learning practices”
From COVID-19 and teacher education: a literature review of online teaching and learning practices (2020) · cites this paper as Beaunoyer, Dupéré, and Guitton 2020
The COVID-19 pandemic has revealed an additional impact in terms of social support networks that are crucial for the preservation of interpersonal ties and social structures.
“has revealed an additional impact in terms of social support networks that are so crucial for the preservation of our interpersonal ties and social structures (Beaunoyer, Dupéré, and Guitton 2020).”
From COVID-19 and teacher education: a literature review of online teaching and learning practices (2020) · cites this paper as Beaunoyer, Dupéré, and Guitton 2020
Limited access to technology and internet was a reality and continues to be a reality that recent lockdowns and adoption of remote learning have exacerbated.
“limited access to technology and internet was a reality and continues to be a reality that the recent lockdowns and adoption of remote learning have exacerbated.”
From COVID-19 and teacher education: a literature review of online teaching and learning practices (2020) · cites this paper as Beaunoyer, Dupéré, and Guitton 2020
Limited access to technology and internet has uncovered issues of digital inequality emerging from access to technology and differences in digital literacy embedded in social, economic and cultural context.
“have also uncovered issues of digital inequality emerging from access to technology as well as differences in digital literacy that are deeply embedded in social, economic and cultural context (Beaunoyer, Dupéré, and Guitton 2020).”
From COVID-19 and teacher education: a literature review of online teaching and learning practices (2020) · cites this paper as Beaunoyer, Dupéré, and Guitton 2020
Key challenges persist, including the rise of potentially harmful misinformation and digital inequalities.
“Key challenges persist, including the rise of potentially harmful misinformation 98,99 and digital inequalities 100 (discussed below).”
From Digital technologies in the public-health response to COVID-19 (2020) · cites this paper as [100]
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Cites
Zhou, F., Yu, T., Du, R., Fan, G., Liu, Y., Liu, Z., Xiang, J., Wang, Y., Song, B., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30566-3 · Cited by 27,263 · see citing works
The Psychological Impact of Quarantine and How to Reduce It: Rapid Review of the Evidence
Brooks, S. K., Webster, R. K., Smith, L. E., Woodland, L., Wessely, S., Greenberg, N., & Rubin, G. J. (2020) · doi:10.2139/ssrn.3532534 · Cited by 16,394 · see citing works
The psychological impact of quarantine and how to reduce it: Rapid review of the evidence
Brooks, S. K., Webster, R. K., Smith, L. E., Woodland, L., Wessely, S., Greenberg, N., & Rubin, G. J. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30460-8 · Cited by 16,378 · see citing works
Health literacy and public health: A systematic review and integration of definitions and models
Sørensen, K., den Broucke, S. V., Fullam, J., Doyle, G., Pelikan, J. M., Słońska, Z., & Brand, H. (2012) · BMC Public Health · doi:10.1186/1471-2458-12-80 · Cited by 6,576 · see citing works
Qiu, J., Shen, B., Zhao, M., Wang, Z., Xie, B., & Xu, Y. (2020) · General Psychiatry · doi:10.1136/gpsych-2020-100213 · Cited by 4,307 · see citing works
eHealth Literacy: Essential Skills for Consumer Health in a Networked World.
Norman, C. D., & Skinner, H. A. (2006) · Journal of Medical Internet Research · doi:10.2196/jmir.8.2.e9 · Cited by 2,643 · see citing works
Cours de linguistique générale
de Saussure, F. (1916) · Max Planck Digital Library · Cited by 2,171 · see citing works
Managing mental health challenges faced by healthcare workers during covid-19 pandemic
Greenberg, N., Docherty, M., Gnanapragasam, S., & Wessely, S. (2020) · BMJ · doi:10.1136/bmj.m1211 · Cited by 2,135 · see citing works
Economic Effects of Coronavirus Outbreak (COVID-19) on the World EconomyPreprint
Fernandes, N. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3557504 · Cited by 1,883 · see citing works
COVID-19: the gendered impacts of the outbreak
Wenham, C., Smith, J., & Morgan, R. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30526-2 · Cited by 1,701 · see citing works
Digital Na(t)ives? Variation in Internet Skills and Uses among Members of the “Net Generation”
Hargittai, E. (2010) · Sociological Inquiry · doi:10.1111/j.1475-682x.2009.00317.x · Cited by 1,564 · see citing works
COVID-19, school closures, and child poverty: a social crisis in the making
Lancker, W. V., & Parolin, Z. (2020) · The Lancet Public Health · doi:10.1016/s2468-2667(20)30084-0 · Cited by 1,433 · see citing works
Patients with mental health disorders in the COVID-19 epidemic
Yao, H., Chen, J.-H., & Xu, Y.-F. (2020) · The Lancet Psychiatry · doi:10.1016/s2215-0366(20)30090-0 · Cited by 1,393 · see citing works
Eysenbach, G., Powell, J., Englesakis, M., Rizo, C., & Stern, A. (2004) · BMJ · doi:10.1136/bmj.328.7449.1166 · Cited by 1,268 · see citing works
Digital inequalities and why they matter
Robinson, L., Cotten, S. R., Ono, H., Quan-Haase, A., Mesch, G., Chen, W., Schulz, J., Hale, T. M., & Stern, M. J. (2015) · Information, Communication & Society · doi:10.1080/1369118x.2015.1012532 · Cited by 1,216 · see citing works
Parenting in a time of COVID-19
Cluver, L. D., Lachman, J. M., Sherr, L., Wessels, I. M., Krug, E. G., Rakotomalala, S., Blight, S., Hillis, S. D., Bachman, G. L., Green, O., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30736-4 · Cited by 883 · see citing works
Covid-19: a remote assessment in primary care
Greenhalgh, T., Koh, G. C. H., & Car, J. (2020) · BMJ · doi:10.1136/bmj.m1182 · Cited by 705 · see citing works
COVID-19: a potential public health problem for homeless populations
Tsai, J., & Wilson, M. (2020) · The Lancet Public Health · doi:10.1016/s2468-2667(20)30053-0 · Cited by 695 · see citing works
Chen, Q., Min, C., Zhang, W., Wang, G., Ma, X., & Evans, R. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106380 · Cited by 652 · see citing works
From the ’Digital Divide’ to Digital Inequality: Studying Internet Use as Penetration IncreasesPreprint
Hargittai, P. D. A. E. (2001) · RePEc: Research Papers in Economics · Cited by 490 · see citing works
Using smartphones and health apps to change and manage health behaviors: a population-based survey
Ernsting, C., Dombrowski, S. U., Oedekoven, M., O´Sullivan, J. L., Kanzler, M., Kuhlmey, A., & Gellert, P. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.6838 · Cited by 400 · see citing works
Haight, M., Quan‐Haase, A., & Corbett, B. A. (2014) · Information Communication & Society · doi:10.1080/1369118x.2014.891633 · Cited by 393 · see citing works
Combating COVID-19: health equity matters
Wang, Z., & Tang, K. (2020) · Nature Medicine · doi:10.1038/s41591-020-0823-6 · Cited by 382 · see citing works
Determinants of 21st-century digital skills: A large-scale survey among working professionals
van Laar, E., van Deursen, A. J. A. M., van Dijk, J. A. G. M., & de Haan, J. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.06.017 · Cited by 379 · see citing works
Obstacles to social networking website use among older adults
Braun, M. T. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2012.12.004 · Cited by 337 · see citing works
Smartphones and Health Promotion: A Review of the Evidence
Bert, F., Giacometti, M., Gualano, M. R., & Siliquini, R. (2013) · Journal of Medical Systems · doi:10.1007/s10916-013-9995-7 · Cited by 318 · see citing works
Open access publishing takes off
Delamothe, T., & Smith, R. (2004) · BMJ · doi:10.1136/bmj.328.7430.1 · Cited by 303 · see citing works
The education-related digital divide: An analysis for the EU-28
Cruz‐Jesus, F., Vicente, M. R., Bação, F., & Oliveira, T. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.11.027 · Cited by 253 · see citing works
The Digital Divide and What to Do About It
Hargittai, E. (2003) · Cited by 244 · see citing works
Epidemics and Pandemics: Their Impacts on Human History
White, P. (2006) · Reference Reviews · doi:10.1108/09504120610701635 · Cited by 228 · see citing works
Epidemics and Pandemics: Their Impacts on Human History
Hays, J. N. (2005) · Cited by 203 · see citing works
Understanding online health information: Evaluation, tools, and strategies
Beaunoyer, E., Arsenault, M., Lomanowska, A. M., & Guitton, M. J. (2016) · Patient Education and Counseling · doi:10.1016/j.pec.2016.08.028 · Cited by 195 · see citing works
Self-citationThe 1918 influenza pandemic: 100 years of questions answered and unanswered
Taubenberger, J. K., Kash, J. C., & Morens, D. M. (2019) · Science Translational Medicine · doi:10.1126/scitranslmed.aau5485 · Cited by 191 · see citing works
Hall, A. K., Bernhardt, J. M., Dodd, V. J. N., & Vollrath, M. W. (2014) · Health Education & Behavior · doi:10.1177/1090198114547815 · Cited by 189 · see citing works
Do the rich get digitally richer? Quantity and quality of support for digital engagement
Helsper, E. J., & van Deursen, A. J. A. M. (2016) · Information Communication & Society · doi:10.1080/1369118x.2016.1203454 · Cited by 171 · see citing works
Courtois, C., & Verdegem, P. (2014) · New Media & Society · doi:10.1177/1461444814562162 · Cited by 148 · see citing works
Bailey, S. C., O'Conor, R., Bojarski, E. A., Mullen, R., Patzer, R. E., Vicencio, D., Jacobson, K. L., Parker, R. M., & Wolf, M. S. (2015) · Health Expectations · doi:10.1111/hex.12294 · Cited by 143 · see citing works
Geographies of global Internet censorship
Warf, B. (2010) · GeoJournal · doi:10.1007/s10708-010-9393-3 · Cited by 124 · see citing works
Digital health interventions: widening access or widening inequalities?
McAuley, A. (2014) · Public Health · doi:10.1016/j.puhe.2014.10.008 · Cited by 120 · see citing works
Roles of Smartphone App Use in Improving Social Capital and Reducing Social Isolation
Cho, J. (2015) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2014.0657 · Cited by 118 · see citing works
Vicious cycles: digital technologies and determinants of health in Australia
Baum, F., Newman, L., & Biedrzycki, K. (2014) · Health Promotion International · doi:10.1093/heapro/das062 · Cited by 108 · see citing works
Minority status and health information search: A test of the social diversification hypothesis
Mesch, G. S., Mano, R. S., & Tsamir, J. (2012) · Social Science & Medicine · doi:10.1016/j.socscimed.2012.03.024 · Cited by 106 · see citing works
McNamara, C. L., Balaj, M., Thomson, K. H., et al. (2016) · European Journal of Public Health · doi:10.1093/eurpub/ckw222 · Cited by 97 · see citing works
Cyberpsychology research and COVID-19
Guitton, M. J. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106357 · Cited by 94 · see citing works
Self-citationRobinson, C., & Pond, R. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.06.011 · Cited by 81 · see citing works
Meng, J., Peng, W., Tan, P., Liu, W., Cheng, Y., & Bae, A. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.07.039 · Cited by 79 · see citing works
Digital Media Use: Differences and Inequalities in Relation to Class and Age
Yates, S. J., Kirby, J. D., & Lockley, E. (2015) · Sociological Research Online · doi:10.5153/sro.3751 · Cited by 71 · see citing works
Internet use that reproduces educational inequalities: Evidence from big data
Zhang, M. (2015) · Computers & Education · doi:10.1016/j.compedu.2015.08.007 · Cited by 56 · see citing works
Nightingale, R., Hall, A. G., Gelder, C., Friedl, S., Brennan, E., & Swallow, V. M. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7760 · Cited by 56 · see citing works
Prevalence of the metabolic syndrome among children from six cities of China
Xu, H., Li, Y., Liu, A., Zhang, Q., Hu, X., Fang, H., Li, T., Guo, H., Li, Y., Xu, G., et al. (2012) · BMC Public Health · doi:10.1186/1471-2458-12-13 · Cited by 54 · see citing works
Arnold, M., Gibbs, M., Kohn, T., et al. (2017) · Routledge eBooks · doi:10.4324/9781315688749 · Cited by 51 · see citing works
How social well-being is affected by digital inequalities
Büchi, M., Festic, N., & Latzer, M. (2018) · International journal of communication · doi:10.5167/uzh-167385 · Cited by 47 · see citing works
Connectivity in Later Life: The Declining Age Divide in Mobile Cell Phone Ownership
Gilleard, C. J., Jones, I. R., & HIGGS, P. F. D. (2015) · Sociological Research Online · doi:10.5153/sro.3552 · Cited by 40 · see citing works
Social Justice and Pandemic Influenza Planning: The Role of Communication Strategies
Lee, C., Rogers, W., & Braunack‐Mayer, A. (2008) · Public Health Ethics · doi:10.1093/phe/phn031 · Cited by 35 · see citing works
Radiation from mobile phone systems: Is it perceived as a threat to people's health?
Kristiansen, I. S., Elstein, A. S., Gyrd‐Hansen, D., et al. (2009) · Bioelectromagnetics · doi:10.1002/bem.20484 · Cited by 32 · see citing works
The role of message-sequences in the sustainability of an online support community for older people
Pfeil, U., Zaphiris, P., & Wilson, S. (2010) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2010.01523.x · Cited by 32 · see citing works
Swimming with mermaids: Communication and social density in the Second Life merfolk community
Guitton, M. J. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.02.004 · Cited by 25 · see citing works
Self-citationE-government: Accessing public services online: Implications for citizenship
Hardill, I., & O’Sullivan, R. (2018) · Local Economy The Journal of the Local Economy Policy Unit · doi:10.1177/0269094217753090 · Cited by 23 · see citing works
Managing the consumption of death and digital media: The funeral director as market intermediary
van Ryn, L., Meese, J., Arnold, M., Nansen, B., Gibbs, M., & Kohn, T. (2019) · Death Studies · doi:10.1080/07481187.2018.1522387 · Cited by 16 · see citing works
Facing cyberthreats: Answering the new security challenges of the digital age
Guitton, M. J. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.01.017 · Cited by 11 · see citing works
Self-citationJianyin, Qiu, Shen, et al. (2020) · Acta Scientiarum Naturalium Universitatis Sunyatseni · Cited by 10 · see citing works
Moving Health Promotion Communities Online: A Review of the Literature
Sunderland, N., Beekhuyzen, J., Kendall, E., & Wolski, M. (2013) · Health Information Management Journal · doi:10.1177/183335831304200202 · Cited by 7 · see citing works
Effective Use of Virtual Communities for Health-Purposes in the Elderly
Beaunoyer, E., & Guitton, M. J. (2017) · Advances in healthcare information systems and administration book series · doi:10.4018/978-1-5225-2958-3.ch005 · Cited by 4 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Digital technologies in the public-health response to COVID-19
Budd, J., Miller, B. S., Manning, E. M., Lampos, V., Zhuang, M., Edelstein, M., Rees, G., Emery, V. C., Stevens, M. M., Keegan, N., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-1011-4 · Cited by 1,195 · see citing works
COVID-19 and teacher education: a literature review of online teaching and learning practices
Carrillo, C., & Flores, M. A. (2020) · European Journal of Teacher Education · doi:10.1080/02619768.2020.1821184 · Cited by 1,019 · see citing works
The digital divide: A review and future research agenda
Lythreatis, S., Singh, S. K., & El-Kassar, A.-N. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.121359 · Cited by 1,044 · see citing works
COVID-19 and Digitalization: The Great Acceleration
Amankwah-Amoah, J., Khan, Z., Wood, G., & Knight, G. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2021.08.011 · Cited by 947 · see citing works
Revisiting the Digital Divide in the <scp>COVID</scp> ‐19 Era
Lai, J., & Widmar, N. O. (2021) · Applied Economic Perspectives and Policy · doi:10.1002/aepp.13104 · Cited by 416 · see citing works
“Home Internet connections with lower bandwidth are simply not able to support the multitasking demands of a household equipped with many technological devices (Beaunoyer, Dupéré, and Guitton 2020).”
BackgroundDadaczynski, K., Okan, O., Messer, M., Leung, A. Y. M., Rosário, R., Darlington, E., & Rathmann, K. (2021) · Journal of Medical Internet Research · doi:10.2196/24097 · Cited by 390 · see citing works
Wang, X., Li, L., Tan, S. C., Yang, L., & Lei, J. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2023.107798 · Cited by 336 · see citing works
Information management research and practice in the post-COVID-19 world
Barnes, S. J. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102175 · Cited by 327 · see citing works
Technologizing Bronfenbrenner: Neo-ecological Theory.
Navarro, J. L., & Tudge, J. R. H. (2023) · Current Psychology · doi:10.1007/s12144-022-02738-3 · Cited by 325 · see citing works
“The ramifications of the digital divide were amplified during the COVID-19 pandemic, as youth with limited access to digital devices and high-speed broadband were further disenfranchised when schooling went online (Beaunoyer et al., 2020). In addition to social isolation, health information about COVID prevention, tes…”
BackgroundInfluentialHändel, M., Stephan, M., Gläser-Zikuda, M., Kopp, B., Bedenlier, S., & Ziegler, A. (2022) · Journal of Research on Technology in Education · doi:10.1080/15391523.2020.1846147 · Cited by 292 · see citing works
Papagiannidis, S., Harris, J., & Morton, D. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102166 · Cited by 194 · see citing works
Ozuem, W., Ranfagni, S., Willis, M., Rovai, S., & Howell, K. (2021) · Psychology & Marketing · doi:10.1002/mar.21527 · Cited by 140 · see citing works
Online Social Connection as a Buffer of Health Anxiety and Isolation During COVID-19
Stuart, J., O'Donnell, K., O'Donnell, A., Scott, R., & Barber, B. (2021) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2020.0645 · Cited by 105 · see citing works
Recommendations for digital inclusion in the use of European digital public services
Morte-Nadal, T., & Esteban-Navarro, M. Á. (2025) · Humanities and Social Sciences Communications · doi:10.1057/s41599-025-04576-7 · Cited by 30 · see citing works
Fluharty, M., Paul, E., Bone, J., Bu, F., Sonke, J., & Fancourt, D. (2021) · PLOS ONE · doi:10.1371/journal.pone.0261532 · Cited by 28 · see citing works
Barnes, S. J. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106967 · Cited by 23 · see citing works
“This includes ensuring the those on the ‘wrong ’ side of the digital divide, such as the elderly and those on lower incomes, are assisted to ensure inclusive communication (Beaunoyer et al., 2020).”
BackgroundZhou, M., Cheng, Z., Sabran, K., & Zahari, Z. A. (2024) · Disability and Rehabilitation: Assistive Technology · doi:10.1080/17483107.2023.2294988 · Cited by 10 · see citing works
- Authors
- Beaunoyer, E., Dupéré, S., & Guitton, M. J.
- Affiliations
- Université Laval (CA)
- Corresponding author
- Guitton, Matthieu J.
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2020-10
- Volume
- 111
- Pages
- 106424
- ISSN
- 0747-5632 (ISSN-L)
- PMC
- PMC7213963
- OpenAlex
- W3024530634
- Semantic Scholar
- 1d18702ce32e598ce84f185eaa19fa3f8b229250
- Cited by
- 1,114
- References
- 63
- Citations by year
- 2026: 70 · 2025: 93 · 2024: 154 · 2023: 220 · 2022: 251 · 2021: 243 · 2020: 83
- FWCI
- 302.41
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Computers in Human Behavior (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Vanier Canada Graduate
- Topics
- Social Sciences › Education › Education during COVID-19 pandemic
- Physical Sciences › Engineering › Media Technology › ICT Impact and Policies
- Physical Sciences › Computer Science › Information Systems › Educational Innovations and Technology
- Keywords
- COVID-19 pandemic, digital inequality, digital divide, health disparities, COVID-19 vulnerability, internet access, digital skills, mitigation measures, social isolation, remote work
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