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Model-informed COVID-19 vaccine prioritization strategies by age and serostatus
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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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American Association for the Advancement of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7963218/ https://www.ncbi.nlm.nih.gov/pubmed/33479118 http://dx.doi.org/10.1126/science.abe6959 |
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author | Bubar, Kate M. Reinholt, Kyle Kissler, Stephen M. Lipsitch, Marc Cobey, Sarah Grad, Yonatan H. Larremore, Daniel B. |
author_facet | Bubar, Kate M. Reinholt, Kyle Kissler, Stephen M. Lipsitch, Marc Cobey, Sarah Grad, Yonatan H. Larremore, Daniel B. |
author_sort | Bubar, Kate M. |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-7963218 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-79632182021-03-24 Model-informed COVID-19 vaccine prioritization strategies by age and serostatus Bubar, Kate M. Reinholt, Kyle Kissler, Stephen M. Lipsitch, Marc Cobey, Sarah Grad, Yonatan H. Larremore, Daniel B. Science Research Articles 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. American Association for the Advancement of Science 2021-02-26 2021-01-21 /pmc/articles/PMC7963218/ /pubmed/33479118 http://dx.doi.org/10.1126/science.abe6959 Text en Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Bubar, Kate M. Reinholt, Kyle Kissler, Stephen M. Lipsitch, Marc Cobey, Sarah Grad, Yonatan H. Larremore, Daniel B. Model-informed COVID-19 vaccine prioritization strategies by age and serostatus |
title | Model-informed COVID-19 vaccine prioritization strategies by age and serostatus |
title_full | Model-informed COVID-19 vaccine prioritization strategies by age and serostatus |
title_fullStr | Model-informed COVID-19 vaccine prioritization strategies by age and serostatus |
title_full_unstemmed | Model-informed COVID-19 vaccine prioritization strategies by age and serostatus |
title_short | Model-informed COVID-19 vaccine prioritization strategies by age and serostatus |
title_sort | model-informed covid-19 vaccine prioritization strategies by age and serostatus |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7963218/ https://www.ncbi.nlm.nih.gov/pubmed/33479118 http://dx.doi.org/10.1126/science.abe6959 |
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