Li Wenliang
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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 [102]
The cited paper’s “Li Wenliang” section reports that Li warned fellow doctors in Wuhan about patients with SARS-like symptoms, including through WeChat. It does not describe the illness as influenza-like or say it resisted conventional treatment. The citation marked 102 follows the description of the first reports, while citation 101 follows the broader claim about online communication. (LLM, conf=0.88)
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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
YouTube as a source of information on COVID-19: a pandemic of misinformation?
Li, H. O.-Y., Bailey, A., Huynh, D., & Chan, J. (2020) · BMJ Global Health · doi:10.1136/bmjgh-2020-002604 · Cited by 781 · see citing works
Singh, S., McNab, C., Olson, R. M., Bristol, N., Nolan, C., Bergstrøm, E., Bartos, M., Mabuchi, S., Panjabi, R., Karan, A., et al. (2021) · The Lancet · doi:10.1016/s0140-6736(21)01897-3 · Cited by 141 · see citing works
- Authors
- Green, A.
- Corresponding author
- Green, Andrew
- ORCID
- Green, Andrew
- Venue
- The Lancet
- Publisher
- Elsevier BV
- Published
- 2020-02
- Volume
- 395
- Issue
- 10225
- Pages
- 682
- ISSN
- 0099-5355 (ISSN-L)
- 0140-6736
- PMC
- PMC7137172
- OpenAlex
- W3092307808
- Cited by
- 156
- References
- 0
- Citations by year
- 2026: 7 · 2025: 7 · 2024: 8 · 2023: 18 · 2022: 20 · 2021: 43 · 2020: 53
- FWCI
- 4.40
- Type
- journal article
- Language
- en
- Update notices
- erratum (2020-03-14)
- Open access
- bronze
- doi.org
- Licence
- Locations
- The Lancet (publishedVersion)
- PubMed Central (publishedVersion)
- Topics
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Legal, Health, Environmental and COVID-19 Challenges
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Keywords
- Li Wenliang, COVID-19 pandemic, SARS-CoV-2, ophthalmologists, Wuhan, public health response, medical ethics, physician-patient relationship, WeChat, public trust in government, memorial tribute
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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.
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