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1000 Titel
  • Vaccine optimization for COVID-19: Who to vaccinate first?
1000 Autor/in
  1. Matrajt Arbetman, Laura |
  2. Eaton, Julia |
  3. Leung, Tiffany |
  4. Brown, Elisabeth R. |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-02-03
1000 Erschienen in
1000 Quellenangabe
  • 7(6):eabf1374
1000 Copyrightjahr
  • 2021
1000 Verlagsversion
  • https://doi.org/10.1126/sciadv.abf1374 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8128110 |
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1000 Abstract/Summary
  • Vaccines, when available, will likely become our best tool to control the COVID-19 pandemic. Even in the most optimistic scenarios, vaccine shortages will likely occur. Using an age-stratified mathematical model paired with optimization algorithms, we determined optimal vaccine allocation for four different metrics (deaths, symptomatic infections, and maximum non-ICU and ICU hospitalizations) under many scenarios. We find that a vaccine with effectiveness ≥50% would be enough to substantially mitigate the ongoing pandemic, provided that a high percentage of the population is optimally vaccinated. When minimizing deaths, we find that for low vaccine effectiveness, irrespective of vaccination coverage, it is optimal to allocate vaccine to high-risk (older) age groups first. In contrast, for higher vaccine effectiveness, there is a switch to allocate vaccine to high-transmission (younger) age groups first for high vaccination coverage. While there are other societal and ethical considerations, this work can provide an evidence-based rationale for vaccine prioritization.
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  1. https://orcid.org/0000-0003-4495-7245|https://orcid.org/0000-0002-1687-5042|https://orcid.org/0000-0002-9075-4134|https://frl.publisso.de/adhoc/uri/QnJvd24sIEVsaXNhYmV0aCBSLiA=
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  1. Vaccine optimization for COVID-19: Who to vaccinate first?
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1000 Erstellt am 2021-09-13T08:53:11.603+0200
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