The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Vaccine optimization for COVID-19: Who to vaccinate first?
Open accessPublished version of a preprint
Abstract
The optimal use of COVID-19 vaccine depends mainly on how efficacious the vaccine is and how many doses are available.
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Cites
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Cited by
Model-informed COVID-19 vaccine prioritization strategies by age and serostatus
Bubar, K. M., Reinholt, K., Kissler, S. M., Lipsitch, M., Cobey, S., Grad, Y. H., & Larremore, D. B. (2021) · Science · doi:10.1126/science.abe6959 · Cited by 775
(2021) · doi:10.1016/j.vaccine.2021.04.002 · Cited by 101
A model and predictions for COVID-19 considering population behavior and vaccination
Usherwood, T., LaJoie, Z., & Srivastava, V. (2021) · Scientific Reports · doi:10.1038/s41598-021-91514-7 · Cited by 74
How to coordinate vaccination and social distancing to mitigate SARS-CoV-2 outbreaks
Grundel, S., Heyder, S., Hotz, T., Ritschel, T. K. S., Sauerteig, P., & Worthmann, K. (2020) · doi:10.1101/2020.12.22.20248707 · Cited by 40
Metadata
- Authors
- Matrajt, L., Eaton, J., Leung, T., & Brown, E. R.
- Venue
- Science Advances
- Published
- 2021-02-05
- Volume
- 7
- Issue
- 6
- ISSN
- 2375-2548 (ISSN-L)
- OpenAlex
- W3128418047
- Cited by
- 419
- References
- 42
- FWCI
- 35.98
- Type
- journal article
- Language
- en
- Open access
- gold
- Funders
- National Institute of Allergy and Infectious Diseases (1 UM1 AI148684-01)
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- CoChat. (2026). Citation check: Vaccine optimization for COVID-19: Who to vaccinate first? https://app.cochat.ai/papers/10.1126/sciadv.abf1374
- The paper
- Matrajt, L., Eaton, J., Leung, T., & Brown, E. R. (2021). Vaccine optimization for COVID-19: Who to vaccinate first? Science Advances. https://doi.org/10.1126/sciadv.abf1374
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.
