The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Coronavirus disease 2019: The harms of exaggerated information and non‐evidence‐based measures
Open accessAbstract
is certainly cause for concern. Proper communication and optimal decision-making is an ongoing challenge, as data evolve. The challenge is compounded, however, by exaggerated information. This can lead to inappropriate actions. It is important to differentiate promptly the true epidemic from an epidemic of false claims and potentially harmful actions.
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Citations
Cites
Responding to Covid-19 — A Once-in-a-Century Pandemic?
Gates, B. (2020) · New England Journal of Medicine · doi:10.1056/nejmp2003762 · Cited by 1,076
Physical interventions to interrupt or reduce the spread of respiratory viruses
Jefferson, T., Del Mar, C. B., Dooley, L., Ferroni, E., Al-Ansary, L. A., Bawazeer, G. A., van Driel, M. L., Nair, N. S., Jones, M. A., Thorning, S., et al. (2011) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd006207.pub4 · Cited by 805
Transmissibility of 1918 pandemic influenza
Mills, C. E., Robins, J. M., & Lipsitch, M. (2004) · Nature · doi:10.1038/nature03063 · Cited by 796
Public health interventions and epidemic intensity during the 1918 influenza pandemic
Hatchett, R. J., Mecher, C. E., & Lipsitch, M. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0610941104 · Cited by 778 · cited 2×
“19 Importantly, this year we are dealing with thousands, not tens of millions deaths.”
BackgroundSaunders-Hastings, P., Crispo, J. A. G., Sikora, L., & Krewski, D. (2017) · Epidemics · doi:10.1016/j.epidem.2017.04.003 · Cited by 183
Cited by
Reuben, R. C., Danladi, M. M. A., Saleh, D. A., & Ejembi, P. E. (2021) · Journal of Community Health · doi:10.1007/s10900-020-00881-1 · Cited by 522
Pandemic publishing poses a new COVID-19 challenge
Palayew, A., Norgaard, O., Safreed-Harmon, K., Andersen, T. H., Rasmussen, L. N., & Lazarus, J. V. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-0911-0 · Cited by 258
Sebhatu, A., Wennberg, K., Arora-Jonsson, S., & Lindberg, S. I. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2010625117 · Cited by 249
Should governments continue lockdown to slow the spread of covid-19?
Melnick, E. R., & Ioannidis, J. P. A. (2020) · BMJ · doi:10.1136/bmj.m1924 · Cited by 104
Self-citationThe rapid, massive growth of COVID-19 authors in the scientific literature
Ioannidis, J. P. A., Salholz-Hillel, M., Boyack, K. W., & Baas, J. (2020) · doi:10.1101/2020.12.15.422900 · Cited by 107
Self-citation
Metadata
- Authors
- Ioannidis, J. P. A.
- Venue
- European Journal of Clinical Investigation
- Publisher
- Wiley
- Published
- 2020-04
- Volume
- 50
- Issue
- 4
- Pages
- e13222-e13222
- ISSN
- 0014-2972 (ISSN-L)
- 1365-2362
- OpenAlex
- W3012006042
- Cited by
- 364
- References
- 5
- FWCI
- 108.41
- Type
- journal article
- Language
- en
- Open access
- bronze
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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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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Coronavirus disease 2019: The harms of exaggerated information and non‐evidence‐based measures. https://app.cochat.ai/papers/10.1111/eci.13222
- The paper
- Ioannidis, J. P. A. (2020). Coronavirus disease 2019: The harms of exaggerated information and non‐evidence‐based measures. European Journal of Clinical Investigation. https://doi.org/10.1111/eci.13222
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.
