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Potential impact of annual vaccination with reformulated COVID-19 vaccines: lessons from the U.S. COVID-19 Scenario Modeling Hub

IMPORTANCE: COVID-19 continues to cause significant hospitalizations and deaths in the United States. Its continued burden and the impact of annually reformulated vaccines remain unclear. OBJECTIVE: To project COVID-19 hospitalizations and deaths from April 2023–April 2025 under two plausible assump...

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Autores principales: Jung, Sung-mok, Loo, Sara L., Howerton, Emily, Contamin, Lucie, Smith, Claire P., Carcelén, Erica C., Yan, Katie, Bents, Samantha J., Levander, John, Espino, Jessi, Lemaitre, Joseph C., Sato, Koji, McKee, Clif D., Hill, Alison L., Chinazzi, Matteo, Davis, Jessica T., Mu, Kunpeng, Vespignani, Alessandro, Rosenstrom, Erik T., Rodriguez-Cartes, Sebastian A., Ivy, Julie S., Mayorga, Maria E., Swann, Julie L., España, Guido, Cavany, Sean, Moore, Sean M., Perkins, Alex, Chen, Shi, Paul, Rajib, Janies, Daniel, Thill, Jean-Claude, Srivastava, Ajitesh, Al Aawar, Majd, Bi, Kaiming, Bandekar, Shraddha Ramdas, Bouchnita, Anass, Fox, Spencer J., Meyers, Lauren Ancel, Porebski, Przemyslaw, Venkatramanan, Srini, Adiga, Aniruddha, Hurt, Benjamin, Klahn, Brian, Outten, Joseph, Chen, Jiangzhuo, Mortveit, Henning, Wilson, Amanda, Hoops, Stefan, Bhattacharya, Parantapa, Machi, Dustin, Vullikanti, Anil, Lewis, Bryan, Marathe, Madhav, Hochheiser, Harry, Runge, Michael C., Shea, Katriona, Truelove, Shaun, Viboud, Cécile, Lessler, Justin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635209/
https://www.ncbi.nlm.nih.gov/pubmed/37961207
http://dx.doi.org/10.1101/2023.10.26.23297581
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author Jung, Sung-mok
Loo, Sara L.
Howerton, Emily
Contamin, Lucie
Smith, Claire P.
Carcelén, Erica C.
Yan, Katie
Bents, Samantha J.
Levander, John
Espino, Jessi
Lemaitre, Joseph C.
Sato, Koji
McKee, Clif D.
Hill, Alison L.
Chinazzi, Matteo
Davis, Jessica T.
Mu, Kunpeng
Vespignani, Alessandro
Rosenstrom, Erik T.
Rodriguez-Cartes, Sebastian A.
Ivy, Julie S.
Mayorga, Maria E.
Swann, Julie L.
España, Guido
Cavany, Sean
Moore, Sean M.
Perkins, Alex
Chen, Shi
Paul, Rajib
Janies, Daniel
Thill, Jean-Claude
Srivastava, Ajitesh
Al Aawar, Majd
Bi, Kaiming
Bandekar, Shraddha Ramdas
Bouchnita, Anass
Fox, Spencer J.
Meyers, Lauren Ancel
Porebski, Przemyslaw
Venkatramanan, Srini
Adiga, Aniruddha
Hurt, Benjamin
Klahn, Brian
Outten, Joseph
Chen, Jiangzhuo
Mortveit, Henning
Wilson, Amanda
Hoops, Stefan
Bhattacharya, Parantapa
Machi, Dustin
Vullikanti, Anil
Lewis, Bryan
Marathe, Madhav
Hochheiser, Harry
Runge, Michael C.
Shea, Katriona
Truelove, Shaun
Viboud, Cécile
Lessler, Justin
author_facet Jung, Sung-mok
Loo, Sara L.
Howerton, Emily
Contamin, Lucie
Smith, Claire P.
Carcelén, Erica C.
Yan, Katie
Bents, Samantha J.
Levander, John
Espino, Jessi
Lemaitre, Joseph C.
Sato, Koji
McKee, Clif D.
Hill, Alison L.
Chinazzi, Matteo
Davis, Jessica T.
Mu, Kunpeng
Vespignani, Alessandro
Rosenstrom, Erik T.
Rodriguez-Cartes, Sebastian A.
Ivy, Julie S.
Mayorga, Maria E.
Swann, Julie L.
España, Guido
Cavany, Sean
Moore, Sean M.
Perkins, Alex
Chen, Shi
Paul, Rajib
Janies, Daniel
Thill, Jean-Claude
Srivastava, Ajitesh
Al Aawar, Majd
Bi, Kaiming
Bandekar, Shraddha Ramdas
Bouchnita, Anass
Fox, Spencer J.
Meyers, Lauren Ancel
Porebski, Przemyslaw
Venkatramanan, Srini
Adiga, Aniruddha
Hurt, Benjamin
Klahn, Brian
Outten, Joseph
Chen, Jiangzhuo
Mortveit, Henning
Wilson, Amanda
Hoops, Stefan
Bhattacharya, Parantapa
Machi, Dustin
Vullikanti, Anil
Lewis, Bryan
Marathe, Madhav
Hochheiser, Harry
Runge, Michael C.
Shea, Katriona
Truelove, Shaun
Viboud, Cécile
Lessler, Justin
author_sort Jung, Sung-mok
collection PubMed
description IMPORTANCE: COVID-19 continues to cause significant hospitalizations and deaths in the United States. Its continued burden and the impact of annually reformulated vaccines remain unclear. OBJECTIVE: To project COVID-19 hospitalizations and deaths from April 2023–April 2025 under two plausible assumptions about immune escape (20% per year and 50% per year) and three possible CDC recommendations for the use of annually reformulated vaccines (no vaccine recommendation, vaccination for those aged 65+, vaccination for all eligible groups). DESIGN: The COVID-19 Scenario Modeling Hub solicited projections of COVID-19 hospitalization and deaths between April 15, 2023–April 15, 2025 under six scenarios representing the intersection of considered levels of immune escape and vaccination. State and national projections from eight modeling teams were ensembled to produce projections for each scenario. SETTING: The entire United States. PARTICIPANTS: None. EXPOSURE: Annually reformulated vaccines assumed to be 65% effective against strains circulating on June 15 of each year and to become available on September 1. Age and state specific coverage in recommended groups was assumed to match that seen for the first (fall 2021) COVID-19 booster. MAIN OUTCOMES AND MEASURES: Ensemble estimates of weekly and cumulative COVID-19 hospitalizations and deaths. Expected relative and absolute reductions in hospitalizations and deaths due to vaccination over the projection period. RESULTS: From April 15, 2023–April 15, 2025, COVID-19 is projected to cause annual epidemics peaking November–January. In the most pessimistic scenario (high immune escape, no vaccination recommendation), we project 2.1 million (90% PI: 1,438,000–4,270,000) hospitalizations and 209,000 (90% PI: 139,000–461,000) deaths, exceeding pre-pandemic mortality of influenza and pneumonia. In high immune escape scenarios, vaccination of those aged 65+ results in 230,000 (95% CI: 104,000–355,000) fewer hospitalizations and 33,000 (95% CI: 12,000–54,000) fewer deaths, while vaccination of all eligible individuals results in 431,000 (95% CI: 264,000–598,000) fewer hospitalizations and 49,000 (95% CI: 29,000–69,000) fewer deaths. CONCLUSION AND RELEVANCE: COVID-19 is projected to be a significant public health threat over the coming two years. Broad vaccination has the potential to substantially reduce the burden of this disease.
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spelling pubmed-106352092023-11-20 Potential impact of annual vaccination with reformulated COVID-19 vaccines: lessons from the U.S. COVID-19 Scenario Modeling Hub Jung, Sung-mok Loo, Sara L. Howerton, Emily Contamin, Lucie Smith, Claire P. Carcelén, Erica C. Yan, Katie Bents, Samantha J. Levander, John Espino, Jessi Lemaitre, Joseph C. Sato, Koji McKee, Clif D. Hill, Alison L. Chinazzi, Matteo Davis, Jessica T. Mu, Kunpeng Vespignani, Alessandro Rosenstrom, Erik T. Rodriguez-Cartes, Sebastian A. Ivy, Julie S. Mayorga, Maria E. Swann, Julie L. España, Guido Cavany, Sean Moore, Sean M. Perkins, Alex Chen, Shi Paul, Rajib Janies, Daniel Thill, Jean-Claude Srivastava, Ajitesh Al Aawar, Majd Bi, Kaiming Bandekar, Shraddha Ramdas Bouchnita, Anass Fox, Spencer J. Meyers, Lauren Ancel Porebski, Przemyslaw Venkatramanan, Srini Adiga, Aniruddha Hurt, Benjamin Klahn, Brian Outten, Joseph Chen, Jiangzhuo Mortveit, Henning Wilson, Amanda Hoops, Stefan Bhattacharya, Parantapa Machi, Dustin Vullikanti, Anil Lewis, Bryan Marathe, Madhav Hochheiser, Harry Runge, Michael C. Shea, Katriona Truelove, Shaun Viboud, Cécile Lessler, Justin medRxiv Article IMPORTANCE: COVID-19 continues to cause significant hospitalizations and deaths in the United States. Its continued burden and the impact of annually reformulated vaccines remain unclear. OBJECTIVE: To project COVID-19 hospitalizations and deaths from April 2023–April 2025 under two plausible assumptions about immune escape (20% per year and 50% per year) and three possible CDC recommendations for the use of annually reformulated vaccines (no vaccine recommendation, vaccination for those aged 65+, vaccination for all eligible groups). DESIGN: The COVID-19 Scenario Modeling Hub solicited projections of COVID-19 hospitalization and deaths between April 15, 2023–April 15, 2025 under six scenarios representing the intersection of considered levels of immune escape and vaccination. State and national projections from eight modeling teams were ensembled to produce projections for each scenario. SETTING: The entire United States. PARTICIPANTS: None. EXPOSURE: Annually reformulated vaccines assumed to be 65% effective against strains circulating on June 15 of each year and to become available on September 1. Age and state specific coverage in recommended groups was assumed to match that seen for the first (fall 2021) COVID-19 booster. MAIN OUTCOMES AND MEASURES: Ensemble estimates of weekly and cumulative COVID-19 hospitalizations and deaths. Expected relative and absolute reductions in hospitalizations and deaths due to vaccination over the projection period. RESULTS: From April 15, 2023–April 15, 2025, COVID-19 is projected to cause annual epidemics peaking November–January. In the most pessimistic scenario (high immune escape, no vaccination recommendation), we project 2.1 million (90% PI: 1,438,000–4,270,000) hospitalizations and 209,000 (90% PI: 139,000–461,000) deaths, exceeding pre-pandemic mortality of influenza and pneumonia. In high immune escape scenarios, vaccination of those aged 65+ results in 230,000 (95% CI: 104,000–355,000) fewer hospitalizations and 33,000 (95% CI: 12,000–54,000) fewer deaths, while vaccination of all eligible individuals results in 431,000 (95% CI: 264,000–598,000) fewer hospitalizations and 49,000 (95% CI: 29,000–69,000) fewer deaths. CONCLUSION AND RELEVANCE: COVID-19 is projected to be a significant public health threat over the coming two years. Broad vaccination has the potential to substantially reduce the burden of this disease. Cold Spring Harbor Laboratory 2023-11-18 /pmc/articles/PMC10635209/ /pubmed/37961207 http://dx.doi.org/10.1101/2023.10.26.23297581 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
spellingShingle Article
Jung, Sung-mok
Loo, Sara L.
Howerton, Emily
Contamin, Lucie
Smith, Claire P.
Carcelén, Erica C.
Yan, Katie
Bents, Samantha J.
Levander, John
Espino, Jessi
Lemaitre, Joseph C.
Sato, Koji
McKee, Clif D.
Hill, Alison L.
Chinazzi, Matteo
Davis, Jessica T.
Mu, Kunpeng
Vespignani, Alessandro
Rosenstrom, Erik T.
Rodriguez-Cartes, Sebastian A.
Ivy, Julie S.
Mayorga, Maria E.
Swann, Julie L.
España, Guido
Cavany, Sean
Moore, Sean M.
Perkins, Alex
Chen, Shi
Paul, Rajib
Janies, Daniel
Thill, Jean-Claude
Srivastava, Ajitesh
Al Aawar, Majd
Bi, Kaiming
Bandekar, Shraddha Ramdas
Bouchnita, Anass
Fox, Spencer J.
Meyers, Lauren Ancel
Porebski, Przemyslaw
Venkatramanan, Srini
Adiga, Aniruddha
Hurt, Benjamin
Klahn, Brian
Outten, Joseph
Chen, Jiangzhuo
Mortveit, Henning
Wilson, Amanda
Hoops, Stefan
Bhattacharya, Parantapa
Machi, Dustin
Vullikanti, Anil
Lewis, Bryan
Marathe, Madhav
Hochheiser, Harry
Runge, Michael C.
Shea, Katriona
Truelove, Shaun
Viboud, Cécile
Lessler, Justin
Potential impact of annual vaccination with reformulated COVID-19 vaccines: lessons from the U.S. COVID-19 Scenario Modeling Hub
title Potential impact of annual vaccination with reformulated COVID-19 vaccines: lessons from the U.S. COVID-19 Scenario Modeling Hub
title_full Potential impact of annual vaccination with reformulated COVID-19 vaccines: lessons from the U.S. COVID-19 Scenario Modeling Hub
title_fullStr Potential impact of annual vaccination with reformulated COVID-19 vaccines: lessons from the U.S. COVID-19 Scenario Modeling Hub
title_full_unstemmed Potential impact of annual vaccination with reformulated COVID-19 vaccines: lessons from the U.S. COVID-19 Scenario Modeling Hub
title_short Potential impact of annual vaccination with reformulated COVID-19 vaccines: lessons from the U.S. COVID-19 Scenario Modeling Hub
title_sort potential impact of annual vaccination with reformulated covid-19 vaccines: lessons from the u.s. covid-19 scenario modeling hub
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635209/
https://www.ncbi.nlm.nih.gov/pubmed/37961207
http://dx.doi.org/10.1101/2023.10.26.23297581
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