The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.
SARS-CoV-2 (COVID-19) by the numbers
Open accessAbstract
The COVID-19 pandemic is a harsh reminder of the fact that, whether in a single human host or a wave of infection across continents, viral dynamics is often a story about the numbers. In this article we provide a one-stop, curated graphical source for the key numbers (based mostly on the peer-reviewed literature) about the SARS-CoV-2 virus that is responsible for the pandemic. The discussion is framed around two broad themes: i) the biology of the virus itself; ii) the characteristics of the infection of a single human host.
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Citations
Cites
A novel coronavirus from patients with pneumonia in China, 2019
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Aerosol and surface stability of SARS-CoV-2 as compared with SARS-CoV-1
van Doremalen, N., Bushmaker, T., Morris, D. H., Holbrook, M. G., Gamble, A., Williamson, B. N., Tamin, A., Harcourt, J. L., Thornburg, N. J., Gerber, S. I., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmc2004973 · Cited by 9,951
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Structure, function and antigenicity of the SARS-CoV-2 spike glycoprotein
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Virological assessment of hospitalized patients with COVID-2019
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Structure of the SARS-CoV-2 spike receptor-binding domain bound to the ACE2 receptor
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Temporal dynamics in viral shedding and transmissibility of COVID-19
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Structural basis of receptor recognition by SARS-CoV-2
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Cited by
Infectious disease in an era of global change
Baker, R. E., Mahmud, A. S., Miller, I. F., Rajeev, M., Rasambainarivo, F., Rice, B. L., Takahashi, S., Tatem, A. J., Wagner, C. E., Wang, L.-F., et al. (2022) · Nature Reviews Microbiology · doi:10.1038/s41579-021-00639-z · Cited by 2,059
SARS-CoV-2 Disrupts Splicing, Translation, and Protein Trafficking to Suppress Host Defenses
Banerjee, A. K., Blanco, M. R., Bruce, E. A., Honson, D. D., Chen, L. M., Chow, A., Bhat, P., Ollikainen, N., Quinodoz, S. A., Loney, C., et al. (2020) · Cell · doi:10.1016/j.cell.2020.10.004 · Cited by 583
After the pandemic: perspectives on the future trajectory of COVID-19
Telenti, A., Arvin, A., Corey, L., Corti, D., Diamond, M. S., García-Sastre, A., Garry, R. F., Holmes, E. C., Pang, P. S., & Virgin, H. W. (2021) · Nature · doi:10.1038/s41586-021-03792-w · Cited by 426
Molecular Diagnosis of COVID-19: Challenges and Research Needs
Feng, W., Newbigging, A. M., Le, C., Pang, B., Peng, H., Cao, Y., Wu, J., Abbas, G., Song, J., Wang, D.-B., et al. (2020) · Analytical Chemistry · doi:10.1021/acs.analchem.0c02060 · Cited by 389
D'Aoust, P. M., Mercier, E., Montpetit, D., Jia, J.-J., Alexandrov, I., Neault, N., Baig, A. T., Mayne, J., Zhang, X., Alain, T., et al. (2021) · Water Research · doi:10.1016/j.watres.2020.116560 · Cited by 382
Metadata
- Authors
- Bar-On, Y. M., Flamholz, A., Phillips, R., & Milo, R.
- Venue
- eLife
- Publisher
- eLife Sciences Publications, Ltd
- Published
- 2020-04-02
- Volume
- 9
- ISSN
- 2050-084X (ISSN-L)
- OpenAlex
- W3013186573
- Cited by
- 962
- References
- 65
- FWCI
- 24.32
- Type
- journal article
- Language
- en
- Open access
- gold
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- CoChat. (2026). Citation check: SARS-CoV-2 (COVID-19) by the numbers. https://app.cochat.ai/papers/10.7554/elife.57309
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- Bar-On, Y. M., Flamholz, A., Phillips, R., & Milo, R. (2020). SARS-CoV-2 (COVID-19) by the numbers. eLife. https://doi.org/10.7554/elife.57309
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.