The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
COVID-19 herd immunity: where are we?
Open accessAbstract
Herd immunity is a key concept for epidemic control. It states that only a proportion of a population needs to be immune (through overcoming natural infection or through vaccination) to an infectious agent for it to stop generating large outbreaks. A key question in the current COVID-19 pandemic is how and when herd immunity can be achieved and at what cost. During the current COVID-19 pandemic, the concept of herd immunity has become a topic of much debate. This Comment examines the factors that determine it, discusses how far we have come and considers what it will take to reach herd immunity safely.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe
Flaxman, S., Mishra, S., Gandy, A., Unwin, H. J. T., Mellan, T. A., Coupland, H., Whittaker, C., Zhu, H., Berah, T., Eaton, J. W., et al. (2020) · Nature · doi:10.1038/s41586-020-2405-7 · Cited by 3,350
Robust T Cell Immunity in Convalescent Individuals with Asymptomatic or Mild COVID-19
Sekine, T., Perez-Potti, A., Rivera-Ballesteros, O., Strålin, K., Gorin, J.-B., Olsson, A., Llewellyn-Lacey, S., Kamal, H., Bogdanovic, G., Muschiol, S., et al. (2020) · Cell · doi:10.1016/j.cell.2020.08.017 · Cited by 1,788
Estimating the burden of SARS-CoV-2 in France
Salje, H., Tran Kiem, C., Lefrancq, N., Courtejoie, N., Bosetti, P., Paireau, J., Andronico, A., Hozé, N., Richet, J., Dubost, C.-L., et al. (2020) · Science · doi:10.1126/science.abc3517 · Cited by 1,038
Self-citationBritton, T., Ball, F., & Trapman, P. (2020) · Science · doi:10.1126/science.abc6810 · Cited by 645
On the Effect of Age on the Transmission of SARS-CoV-2 in Households, Schools, and the Community
Goldstein, E., Lipsitch, M., & Cevik, M. (2021) · The Journal of Infectious Diseases · doi:10.1093/infdis/jiaa691 · Cited by 355
The Signature Features of Influenza Pandemics — Implications for Policy
Miller, M. A., Viboud, C., Balinska, M., & Simonsen, L. (2009) · New England Journal of Medicine · doi:10.1056/nejmp0903906 · Cited by 349
Pre-existing immunity to SARS-CoV-2: the knowns and unknowns
Sette, A., & Crotty, S. (2020) · Nature Reviews Immunology · doi:10.1038/s41577-020-0389-z · Cited by 347
Byambasuren, O., Dobler, C. C., Bell, K., Rojas, D. P., Clark, J., McLaws, M.-L., & Glasziou, P. (2021) · PLOS ONE · doi:10.1371/journal.pone.0248946 · Cited by 250
Sermet‐Gaudelus, I., Temmam, S., Huon, C., Behillil, S., Gajdos, V., Bigot, T., Lurier, T., Chrétien, D., Backović, M., Delaunay, A., et al. (2021) · Eurosurveillance · doi:10.2807/1560-7917.es.2021.26.13.2001782 · Cited by 70
Single-Dilution COVID-19 Antibody Test with Qualitative and Quantitative Readouts
Bortz, R. H., Florez, C., Laudermilch, E., Wirchnianski, A. S., Lasso, G., Malonis, R. J., Georgiev, G. I., Vergnolle, O., Herrera, N. G., Morano, N. C., et al. (2021) · mSphere · doi:10.1128/msphere.00224-21 · Cited by 21
Cited by
Age-specific mortality and immunity patterns of SARS-CoV-2
O’Driscoll, M., Ribeiro Dos Santos, G., Wang, L., Cummings, D. A. T., Azman, A. S., Paireau, J., Fontanet, A., Cauchemez, S., & Salje, H. (2021) · Nature · doi:10.1038/s41586-020-2918-0 · Cited by 1,210
Self-citationResurgence of COVID-19 in Manaus, Brazil, despite high seroprevalence
Sabino, E. C., Buss, L. F., Carvalho, M. P. S., Prete, C. A., Crispim, M. A. E., Fraiji, N. A., Pereira, R. H. M., Parag, K. V., da Silva Peixoto, P., Kraemer, M. U. G., et al. (2021) · The Lancet · doi:10.1016/s0140-6736(21)00183-5 · Cited by 758
SARS-CoV-2 immunity: review and applications to phase 3 vaccine candidates
Poland, G. A., Ovsyannikova, I. G., & Kennedy, R. B. (2020) · The Lancet · doi:10.1016/s0140-6736(20)32137-1 · Cited by 572
COVID-19 vaccines: The status and perspectives in delivery points of view
Chung, J. Y., Thone, M. N., & Kwon, Y. J. (2021) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2020.12.011 · Cited by 375
Hussain, A., Tahir, A., Hussain, Z., Sheikh, Z., Gogate, M., Dashtipour, K., Ali, A., & Sheikh, A. (2021) · Journal of Medical Internet Research · doi:10.2196/26627 · Cited by 285
Metadata
- Authors
- Fontanet, A., & Cauchemez, S.
- Venue
- Nature Reviews Immunology
- Published
- 2020-09-09
- Volume
- 20
- Issue
- 10
- Pages
- 583-584
- ISSN
- 1474-1733 (ISSN-L)
- 1474-1741
- OpenAlex
- W3083820245
- Cited by
- 537
- References
- 10
- FWCI
- 18.90
- Type
- journal article
- Language
- en
- Open access
- bronze
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: COVID-19 herd immunity: where are we? https://app.cochat.ai/papers/10.1038/s41577-020-00451-5
- The paper
- Fontanet, A., & Cauchemez, S. (2020). COVID-19 herd immunity: where are we? Nature Reviews Immunology. https://doi.org/10.1038/s41577-020-00451-5
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.