Evidence map›Paper›PMID 33980718›Full record

ArticleBMJ (Clinical research ed.)2021

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

Santiago Romero-Brufau, Ayush Chopra, Alexander J Ryu, Esma Gel, Ramesh Raskar, Walter Kremers, Karen S Anderson, Jayakumar Subramanian, Balaji Krishnamurthy, Abhishek Singh and 6 more

Erratum issuedOpen access · hybridAbstract readComparative Study
In one paragraph

Article in BMJ (Clinical research ed.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 77 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 7 institutions in 1 country.

Santiago Romero-BrufauDepartment of Medicine, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-9922-0083
Ayush ChopraMIT Media Lab, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0002-4070-4139
Alexander J RyuDepartment of Medicine, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-0138-5112
Esma GelSchool of Life Sciences, Arizona State University, Phoenix, AZ, USA.
Ramesh RaskarMIT Media Lab, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0002-3254-3224
Walter KremersDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0001-5714-3473
Karen S AndersonSchool of Life Sciences, Arizona State University, Phoenix, AZ, USA.ORCID 0000-0002-3870-5730
Jayakumar SubramanianMedia and Data Science Research Lab, Adobe Inc Noidia, UP, India.ORCID 0000-0003-4621-2677
Balaji KrishnamurthyMedia and Data Science Research Lab, Adobe Inc Noidia, UP, India.ORCID 0000-0002-0366-2427
Abhishek SinghMIT Media Lab, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0003-0217-9801
Kalyan PasupathyDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-4760-2805
Yue DongDepartment of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-1737-6536
John C O'HoroDepartment of Medicine, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-0880-4498
Walter R WilsonDepartment of Medicine, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0003-2927-7313
Oscar MitchellDepartment of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-5331-5562
Thomas C KingsleyDepartment of Medicine, Mayo Clinic, Rochester, MN, USA Kingsley.Thomas@mayo.edu.ORCID 0000-0002-6212-8988
Mayo Clinic in Arizona · USMassachusetts Institute of Technology · USAdobe Systems (United States) · USArizona State University · USMayo Clinic in Florida · USHarvard University · USUniversity of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo estimate population health outcomes with delayed second dose versus standard schedule of SARS-CoV-2 mRNA vaccination.

designSimulation agent based modeling study.

settingSimulated population based on real world US county.

participantsThe 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.

interventionsSimulation 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 measuresCumulative covid-19 mortality, cumulative SARS-CoV-2 infections, and cumulative hospital admissions due to covid-19 over 180 days.

resultsOver all simulation replications, the median cumulative mortality per 100 000 for standard dosing versus delayed second dose was 226

conclusionsA delayed second dose vaccination strategy, at least for people aged under 65, could result in reduced cumulative mortality under certain conditions.

Indexed as

2019-nCoV Vaccine mRNA-1273AdultBNT162 VaccineCOVID-19COVID-19 VaccinesHospitalizationHumansMiddle AgedOccupationsPatient SimulationPublic HealthSARS-CoV-2Sensitivity and SpecificitySystems AnalysisTime-to-TreatmentTreatment Outcome2019-nCoV Vaccine mRNA-1273BNT162 VaccineCOVID-19 Vaccines

Identifiers

PMID33980718
PMCPMC8114182
OpenAlexW3160415738

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.