Published January 21, 2021 | Version v1
Journal article Open

Model-informed COVID-19 vaccine prioritization strategies by age and serostatus

  • 1. University of Colorado Boulder
  • 2. Harvard University
  • 3. University of Chicago

Description

Limited initial supply of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine raises the question of how to prioritize available doses. We used a mathematical model to compare five age-stratified prioritization strategies. A highly effective transmission-blocking vaccine prioritized to adults ages 20 to 49 years minimized cumulative incidence, but mortality and years of life lost were minimized in most scenarios when the vaccine was prioritized to adults greater than 60 years old. Use of individual-level serological tests to redirect doses to seronegative individuals improved the marginal impact of each dose while potentially reducing existing inequities in COVID-19 impact. Although maximum impact prioritization strategies were broadly consistent across countries, transmission rates, vaccination rollout speeds, and estimates of naturally acquired immunity, this framework can be used to compare impacts of prioritization strategies across contexts.

Data availability

Reproduction code is open source and provided by the authors (21).

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Additional details

Identifiers

DOI
10.1126/science.abe6959
Other
oai:uchicago.tind.io:13897

Funding

National Institute of General Medical Science
3U24GM132013-02S2
Morris-Singer Fund
MIDAS
MIDASNI2020-2
National Cancer Institute
1U01CA261277-01

UChicago Information

Division(s)
Biological Sciences Division
Department(s)
Ecology and Evolution