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Public health impact of delaying second dose of BNT162b2 or mRNA-1273 covid-19 vaccine: simulation agent based modeling study

OBJECTIVE: To estimate population health outcomes with delayed second dose versus standard schedule of SARS-CoV-2 mRNA vaccination. DESIGN: Simulation agent based modeling study. SETTING: Simulated population based on real world US county. PARTICIPANTS: The simulation included 100 000 agents, with a...

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Autores principales: Romero-Brufau, Santiago, Chopra, Ayush, Ryu, Alex J, Gel, Esma, Raskar, Ramesh, Kremers, Walter, Anderson, Karen S, Subramanian, Jayakumar, Krishnamurthy, Balaji, Singh, Abhishek, Pasupathy, Kalyan, Dong, Yue, O’Horo, John C, Wilson, Walter R, Mitchell, Oscar, Kingsley, Thomas C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8114182/
https://www.ncbi.nlm.nih.gov/pubmed/33980718
http://dx.doi.org/10.1136/bmj.n1087
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author Romero-Brufau, Santiago
Chopra, Ayush
Ryu, Alex J
Gel, Esma
Raskar, Ramesh
Kremers, Walter
Anderson, Karen S
Subramanian, Jayakumar
Krishnamurthy, Balaji
Singh, Abhishek
Pasupathy, Kalyan
Dong, Yue
O’Horo, John C
Wilson, Walter R
Mitchell, Oscar
Kingsley, Thomas C
author_facet Romero-Brufau, Santiago
Chopra, Ayush
Ryu, Alex J
Gel, Esma
Raskar, Ramesh
Kremers, Walter
Anderson, Karen S
Subramanian, Jayakumar
Krishnamurthy, Balaji
Singh, Abhishek
Pasupathy, Kalyan
Dong, Yue
O’Horo, John C
Wilson, Walter R
Mitchell, Oscar
Kingsley, Thomas C
author_sort Romero-Brufau, Santiago
collection PubMed
description OBJECTIVE: To estimate population health outcomes with delayed second dose versus standard schedule of SARS-CoV-2 mRNA vaccination. DESIGN: Simulation agent based modeling study. SETTING: Simulated population based on real world US county. PARTICIPANTS: The simulation included 100 000 agents, with a representative distribution of demographics and occupations. Networks of contacts were established to simulate potentially infectious interactions though occupation, household, and random interactions. INTERVENTIONS: Simulation of standard covid-19 vaccination versus delayed second dose vaccination prioritizing the first dose. The simulation runs were replicated 10 times. Sensitivity analyses included first dose vaccine efficacy of 50%, 60%, 70%, 80%, and 90% after day 12 post-vaccination; vaccination rate of 0.1%, 0.3%, and 1% of population per day; assuming the vaccine prevents only symptoms but not asymptomatic spread (that is, non-sterilizing vaccine); and an alternative vaccination strategy that implements delayed second dose for people under 65 years of age, but not until all those above this age have been vaccinated. MAIN OUTCOME MEASURES: Cumulative covid-19 mortality, cumulative SARS-CoV-2 infections, and cumulative hospital admissions due to covid-19 over 180 days. RESULTS: Over all simulation replications, the median cumulative mortality per 100 000 for standard dosing versus delayed second dose was 226 v 179, 233 v 207, and 235 v 236 for 90%, 80%, and 70% first dose efficacy, respectively. The delayed second dose strategy was optimal for vaccine efficacies at or above 80% and vaccination rates at or below 0.3% of the population per day, under both sterilizing and non-sterilizing vaccine assumptions, resulting in absolute cumulative mortality reductions between 26 and 47 per 100 000. The delayed second dose strategy for people under 65 performed consistently well under all vaccination rates tested. CONCLUSIONS: A delayed second dose vaccination strategy, at least for people aged under 65, could result in reduced cumulative mortality under certain conditions.
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spelling pubmed-81141822021-05-12 Public health impact of delaying second dose of BNT162b2 or mRNA-1273 covid-19 vaccine: simulation agent based modeling study Romero-Brufau, Santiago Chopra, Ayush Ryu, Alex J Gel, Esma Raskar, Ramesh Kremers, Walter Anderson, Karen S Subramanian, Jayakumar Krishnamurthy, Balaji Singh, Abhishek Pasupathy, Kalyan Dong, Yue O’Horo, John C Wilson, Walter R Mitchell, Oscar Kingsley, Thomas C BMJ Research OBJECTIVE: To estimate population health outcomes with delayed second dose versus standard schedule of SARS-CoV-2 mRNA vaccination. DESIGN: Simulation agent based modeling study. SETTING: Simulated population based on real world US county. PARTICIPANTS: The simulation included 100 000 agents, with a representative distribution of demographics and occupations. Networks of contacts were established to simulate potentially infectious interactions though occupation, household, and random interactions. INTERVENTIONS: Simulation of standard covid-19 vaccination versus delayed second dose vaccination prioritizing the first dose. The simulation runs were replicated 10 times. Sensitivity analyses included first dose vaccine efficacy of 50%, 60%, 70%, 80%, and 90% after day 12 post-vaccination; vaccination rate of 0.1%, 0.3%, and 1% of population per day; assuming the vaccine prevents only symptoms but not asymptomatic spread (that is, non-sterilizing vaccine); and an alternative vaccination strategy that implements delayed second dose for people under 65 years of age, but not until all those above this age have been vaccinated. MAIN OUTCOME MEASURES: Cumulative covid-19 mortality, cumulative SARS-CoV-2 infections, and cumulative hospital admissions due to covid-19 over 180 days. RESULTS: Over all simulation replications, the median cumulative mortality per 100 000 for standard dosing versus delayed second dose was 226 v 179, 233 v 207, and 235 v 236 for 90%, 80%, and 70% first dose efficacy, respectively. The delayed second dose strategy was optimal for vaccine efficacies at or above 80% and vaccination rates at or below 0.3% of the population per day, under both sterilizing and non-sterilizing vaccine assumptions, resulting in absolute cumulative mortality reductions between 26 and 47 per 100 000. The delayed second dose strategy for people under 65 performed consistently well under all vaccination rates tested. CONCLUSIONS: A delayed second dose vaccination strategy, at least for people aged under 65, could result in reduced cumulative mortality under certain conditions. BMJ Publishing Group Ltd. 2021-05-12 /pmc/articles/PMC8114182/ /pubmed/33980718 http://dx.doi.org/10.1136/bmj.n1087 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Research
Romero-Brufau, Santiago
Chopra, Ayush
Ryu, Alex J
Gel, Esma
Raskar, Ramesh
Kremers, Walter
Anderson, Karen S
Subramanian, Jayakumar
Krishnamurthy, Balaji
Singh, Abhishek
Pasupathy, Kalyan
Dong, Yue
O’Horo, John C
Wilson, Walter R
Mitchell, Oscar
Kingsley, Thomas C
Public health impact of delaying second dose of BNT162b2 or mRNA-1273 covid-19 vaccine: simulation agent based modeling study
title Public health impact of delaying second dose of BNT162b2 or mRNA-1273 covid-19 vaccine: simulation agent based modeling study
title_full Public health impact of delaying second dose of BNT162b2 or mRNA-1273 covid-19 vaccine: simulation agent based modeling study
title_fullStr Public health impact of delaying second dose of BNT162b2 or mRNA-1273 covid-19 vaccine: simulation agent based modeling study
title_full_unstemmed Public health impact of delaying second dose of BNT162b2 or mRNA-1273 covid-19 vaccine: simulation agent based modeling study
title_short Public health impact of delaying second dose of BNT162b2 or mRNA-1273 covid-19 vaccine: simulation agent based modeling study
title_sort public health impact of delaying second dose of bnt162b2 or mrna-1273 covid-19 vaccine: simulation agent based modeling study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8114182/
https://www.ncbi.nlm.nih.gov/pubmed/33980718
http://dx.doi.org/10.1136/bmj.n1087
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