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, wit...
Main Authors: | , , , , , , , , , , , , , , , |
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Format: | Article |
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BMJ Publishing Group
2021
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Online Access: | https://hdl.handle.net/1721.1/130653 |
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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 |
author2 | Massachusetts Institute of Technology. Media Laboratory |
author_facet | Massachusetts Institute of Technology. Media Laboratory 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 | MIT |
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 v179, 233 v207, and 235 v236 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. |
first_indexed | 2024-09-23T17:07:35Z |
format | Article |
id | mit-1721.1/130653 |
institution | Massachusetts Institute of Technology |
last_indexed | 2024-09-23T17:07:35Z |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | dspace |
spelling | mit-1721.1/1306532022-09-29T23:51:27Z 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 Massachusetts Institute of Technology. Media Laboratory 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 v179, 233 v207, and 235 v236 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. 2021-05-24T14:44:51Z 2021-05-24T14:44:51Z 2021-05 Article http://purl.org/eprint/type/JournalArticle 1756-1833 https://hdl.handle.net/1721.1/130653 Romero-Brufau, Santiago et al. "Public health impact of delaying second dose of BNT162b2 or mRNA-1273 covid-19 vaccine: simulation agent based modeling study." BMJ (May 2021): 373. http://dx.doi.org/10.1136/bmj.n1087 BMJ Creative Commons Attribution NonCommercial License 4.0 http://creativecommons.org/licenses/by-nd/4.0/ application/pdf BMJ Publishing Group BMJ |
spellingShingle | 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 |
url | https://hdl.handle.net/1721.1/130653 |
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