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Predicting the public health impact of bivalent vaccines and nirmatrelvir-ritonavir against COVID-19
BACKGROUND: Uptake of COVID-19 bivalent vaccines and oral medication nirmatrelvir-ritonavir (Paxlovid) has remained low across the United States. Assessing the public health impact of increasing uptake of these interventions in key risk groups can guide further public health resources and policy. ME...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246024/ https://www.ncbi.nlm.nih.gov/pubmed/37292707 http://dx.doi.org/10.1101/2023.05.18.23289533 |
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author | Park, Hailey J. Tan, Sophia T. León, Tomás M. Jain, Seema Schechter, Robert Lo, Nathan C. |
author_facet | Park, Hailey J. Tan, Sophia T. León, Tomás M. Jain, Seema Schechter, Robert Lo, Nathan C. |
author_sort | Park, Hailey J. |
collection | PubMed |
description | BACKGROUND: Uptake of COVID-19 bivalent vaccines and oral medication nirmatrelvir-ritonavir (Paxlovid) has remained low across the United States. Assessing the public health impact of increasing uptake of these interventions in key risk groups can guide further public health resources and policy. METHODS: This modeling study used person-level data from the California Department of Public Health on COVID-19 cases, hospitalizations, deaths, and vaccine administration from July 23, 2022 to January 23, 2023. We modeled the impact of additional uptake of bivalent COVID-19 vaccines and nirmatrelvir-ritonavir during acute illness in different risk groups defined by age (50+, 65+, 75+ years) and vaccination status (everyone, primary series only, previously vaccinated). We predicted the number of averted COVID-19 cases, hospitalizations, and deaths and number needed to treat (NNT). RESULTS: For both bivalent vaccines and nirmatrelvir-ritonavir, the most efficient strategy (based on NNT) for averting severe COVID-19 was targeting the 75+ years group. We predicted that perfect coverage of bivalent boosters in the 75+ years group would avert 3,920 hospitalizations (95%UI: 2,491-4,882; 7.8% total averted; NNT 387) and 1,074 deaths (95%UI: 774-1,355; 16.2% total averted; NNT 1,410). Perfect uptake of nirmatrelvir-ritonavir in the 75+ years group would avert 5,644 hospitalizations (95%UI: 3,947-6,826; 11.2% total averted; NNT 11) and 1,669 deaths (95%UI: 1,053-2,038; 25.2% total averted; NNT 35). CONCLUSIONS: These findings suggest prioritizing uptake of bivalent boosters and nirmatrelvir-ritonavir among the oldest age groups would be efficient and have substantial public health impact in reducing the burden of severe COVID-19, but would not address the entire burden of severe COVID-19. |
format | Online Article Text |
id | pubmed-10246024 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-102460242023-06-08 Predicting the public health impact of bivalent vaccines and nirmatrelvir-ritonavir against COVID-19 Park, Hailey J. Tan, Sophia T. León, Tomás M. Jain, Seema Schechter, Robert Lo, Nathan C. medRxiv Article BACKGROUND: Uptake of COVID-19 bivalent vaccines and oral medication nirmatrelvir-ritonavir (Paxlovid) has remained low across the United States. Assessing the public health impact of increasing uptake of these interventions in key risk groups can guide further public health resources and policy. METHODS: This modeling study used person-level data from the California Department of Public Health on COVID-19 cases, hospitalizations, deaths, and vaccine administration from July 23, 2022 to January 23, 2023. We modeled the impact of additional uptake of bivalent COVID-19 vaccines and nirmatrelvir-ritonavir during acute illness in different risk groups defined by age (50+, 65+, 75+ years) and vaccination status (everyone, primary series only, previously vaccinated). We predicted the number of averted COVID-19 cases, hospitalizations, and deaths and number needed to treat (NNT). RESULTS: For both bivalent vaccines and nirmatrelvir-ritonavir, the most efficient strategy (based on NNT) for averting severe COVID-19 was targeting the 75+ years group. We predicted that perfect coverage of bivalent boosters in the 75+ years group would avert 3,920 hospitalizations (95%UI: 2,491-4,882; 7.8% total averted; NNT 387) and 1,074 deaths (95%UI: 774-1,355; 16.2% total averted; NNT 1,410). Perfect uptake of nirmatrelvir-ritonavir in the 75+ years group would avert 5,644 hospitalizations (95%UI: 3,947-6,826; 11.2% total averted; NNT 11) and 1,669 deaths (95%UI: 1,053-2,038; 25.2% total averted; NNT 35). CONCLUSIONS: These findings suggest prioritizing uptake of bivalent boosters and nirmatrelvir-ritonavir among the oldest age groups would be efficient and have substantial public health impact in reducing the burden of severe COVID-19, but would not address the entire burden of severe COVID-19. Cold Spring Harbor Laboratory 2023-05-21 /pmc/articles/PMC10246024/ /pubmed/37292707 http://dx.doi.org/10.1101/2023.05.18.23289533 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article Park, Hailey J. Tan, Sophia T. León, Tomás M. Jain, Seema Schechter, Robert Lo, Nathan C. Predicting the public health impact of bivalent vaccines and nirmatrelvir-ritonavir against COVID-19 |
title | Predicting the public health impact of bivalent vaccines and nirmatrelvir-ritonavir against COVID-19 |
title_full | Predicting the public health impact of bivalent vaccines and nirmatrelvir-ritonavir against COVID-19 |
title_fullStr | Predicting the public health impact of bivalent vaccines and nirmatrelvir-ritonavir against COVID-19 |
title_full_unstemmed | Predicting the public health impact of bivalent vaccines and nirmatrelvir-ritonavir against COVID-19 |
title_short | Predicting the public health impact of bivalent vaccines and nirmatrelvir-ritonavir against COVID-19 |
title_sort | predicting the public health impact of bivalent vaccines and nirmatrelvir-ritonavir against covid-19 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246024/ https://www.ncbi.nlm.nih.gov/pubmed/37292707 http://dx.doi.org/10.1101/2023.05.18.23289533 |
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