The biggest pandemic risk? Viral misinformation
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Cited by 323
- Authors
- Larson, H. J.
- Affiliations
- London School of Hygiene & Tropical Medicine (GB)
- Corresponding author
- Larson, Heidi J.
- ORCID
- Larson, Heidi J.
- Venue
- Nature
- Published
- 2018-10
- Volume
- 562
- Issue
- 7727
- Pages
- 309-309
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2896131989
- Cited by
- 323
- References
- 0
- Citations by year
- 2026: 5 · 2025: 14 · 2024: 30 · 2023: 36 · 2022: 61 · 2021: 99 · 2020: 63 · 2019: 14
- FWCI
- 100.14
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Social Sciences › Health › Vaccine Coverage and Hesitancy
- Social Sciences › Decision Sciences › Information Systems and Management › Academic Publishing and Open Access
- Keywords
- viral misinformation, pandemic risk, vaccine hesitancy, vaccine confidence, pandemic influenza, public health communication, misinformation spread
- MeSH terms
- Health Education, Humans, Influenza, Human, Health Knowledge, Attitudes, Practice, Public Health, Vaccination, Vaccines, Treatment Refusal, Trust, Pandemics, Social Media, Patient Safety
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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.
Statistics and arithmetic are recomputed, not judged.
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