Social Media and Emergency Preparedness in Response to Novel Coronavirus
Abstract
This Viewpoint discusses the ways social media can be used as a critical tool in managing the COVID-19 outbreak, such as by directing users to trusted sources and counteracting misinformation, and how it can transform aspects of preparedness and response for the future.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Online data and social media have had an ongoing, important role in public communication since the first reports of an unusual influenza-like illness resistant to conventional treatment methods emerged in China.
“Online data and social media have had an ongoing, important role in public communication 101 since the first reports of an unusual influenza-like illness resistant to conventional treatment methods emerged in China 102 .”
From Digital technologies in the public-health response to COVID-19 (2020) · cites this paper as [101]
Cited by
Sorted by citations
Galea, S., Merchant, R. M., & Lurie, N. (2020) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2020.1562 · Cited by 2,089 · see citing works
Self-citationPsychosocial impact of COVID-19
Dubey, S., Biswas, P., Ghosh, R., Chatterjee, S., Dubey, M. J., Chatterjee, S., Lahiri, D., & Lavie, C. J. (2020) · Diabetes & Metabolic Syndrome: Clinical Research & Reviews · doi:10.1016/j.dsx.2020.05.035 · Cited by 1,958 · see citing works
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
Americans’ COVID-19 stress, coping, and adherence to CDC guidelines
Park, C. L., Russell, B. S., Fendrich, M., Finkelstein-Fox, L., Hutchison, M., & Becker, J. (2020) · Journal of General Internal Medicine · doi:10.1007/s11606-020-05898-9 · Cited by 728 · see citing works
Eccleston, C., Blyth, F. M., Dear, B. F., Fisher, E. A., Keefe, F. J., Lynch, M. E., Palermo, T. M., Reid, M. C., & Williams, A. C. D. C. (2020) · Pain · doi:10.1097/j.pain.0000000000001885 · Cited by 480 · see citing works
Chakraborty, K., Bhatia, S., Bhattacharyya, S., Platos, J., Bag, R., & Hassanien, A. E. (2020) · Applied Soft Computing · doi:10.1016/j.asoc.2020.106754 · Cited by 375 · see citing works
Psychological Distress during the COVID-19 Lockdown: The Young Adults Most at Risk
Glowacz, F., & Schmits, E. (2020) · Psychiatry Research · doi:10.1016/j.psychres.2020.113486 · Cited by 280 · see citing works
Haase, K. R., Cosco, T., Kervin, L., Riadi, I., & O'Connell, M. E. (2021) · JMIR Aging · doi:10.2196/28010 · Cited by 229 · see citing works
Zhao, N., & Zhou, G. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.635546 · Cited by 210 · see citing works
The social threats of COVID-19 for people with chronic pain
Karos, K., McParland, J. L., Bunzli, S., Devan, H., Hirsh, A., Kapos, F. P., Keogh, E., Moore, D., Tracy, L. M., & Ashton-James, C. E. (2020) · Pain · doi:10.1097/j.pain.0000000000002004 · Cited by 149 · see citing works
Loneliness among older adults in the community during COVID-19: A cross-sectional survey in Canada
Savage, R. D., Wu, W., Li, J., Lawson, A., Bronskill, S. E., Chamberlain, S. A., Grieve, J., Gruneir, A., Reppas-Rindlisbacher, C., Stall, N. M., et al. (2021) · BMJ Open · doi:10.1136/bmjopen-2020-044517 · Cited by 131 · see citing works
Iyamu, I., Gómez-Ramírez, O., Xu, A. X., Chang, H.-J., Watt, S., Mckee, G., & Gilbert, M. (2022) · DIGITAL HEALTH · doi:10.1177/20552076221102255 · Cited by 118 · see citing works
Stokes, D. C., Andy, A., Guntuku, S. C., Ungar, L. H., & Merchant, R. M. (2020) · Journal of General Internal Medicine · doi:10.1007/s11606-020-05889-w · Cited by 77 · see citing works
Self-citationLacasse, A., Pagé, M. G., Dassieu, L., Sourial, N., Janelle-Montcalm, A., Dorais, M., Nguena Nguefack, H. L., Godbout-Parent, M., Hudspith, M., Moor, G., et al. (2021) · PAIN Reports · doi:10.1097/pr9.0000000000000891 · Cited by 62 · see citing works
Ruan, B., Yilmaz, Y., Lu, D., Lee, M., & Chan, T. M. (2020) · Journal of Medical Internet Research · doi:10.2196/21416 · Cited by 47 · see citing works
- Authors
- Merchant, R. M., & Lurie, N.
- Affiliations
- University of Pennsylvania Health System (US)
- Massachusetts General Hospital (US)
- Corresponding author
- Merchant, Raina M.
- ORCID
- Merchant, Raina M.
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2020-05-26
- Volume
- 323
- Issue
- 20
- Pages
- 2011
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W3012703518
- Cited by
- 425
- References
- 0
- Citations by year
- 2026: 18 · 2025: 22 · 2024: 29 · 2023: 64 · 2022: 88 · 2021: 110 · 2020: 94
- FWCI
- 107.08
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- JAMA (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Heart, Lung, and Blood Institute (R01HL141844)
- National Human Genome Research Institute (R01HG009655)
- Topics
- Social Sciences › Communication › Public Relations and Crisis Communication
- Social Sciences › Communication › Communication and COVID-19 Impact
- Social Sciences › Health › Social Media in Health Education
- Keywords
- social media, disaster preparedness, COVID-19 pandemic, misinformation, outbreak response, reliable information sources, public health communication
- MeSH terms
- Betacoronavirus, COVID-19, SARS-CoV-2, Health Education, Humans, Pneumonia, Viral, Public Health Practice, Coronavirus Infections, Education, Distance, Information Dissemination, Pandemics, Social Media
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review