Evidence map›Paper›PMID 34451985›Full record

ArticleVaccines2021

Analysis of Host Immunological Response of Adenovirus-Based COVID-19 Vaccines.

Suzan Farhang-Sardroodi, Chapin S Korosec, Samaneh Gholami, Morgan Craig, Iain R Moyles, Mohammad Sajjad Ghaemi, Hsu Kiang Ooi, Jane M Heffernan

Abstract read
In one paragraph

Article in Vaccines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
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

21 citing papers in PubMed.

  1. Article
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  4. Mechanistic models of humoral kinetics following COVID-19 vaccination.Journal of the Royal Society, Interface · 2025
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  6. Article
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  11. Review
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  20. Evaluation of the T cell and B cell response following the administration of COVID-19 vaccines in Korea.Journal of microbiology, immunology, and infection = Wei mian yu gan ran za zhi · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Suzan Farhang-SardroodiModelling Infection and Immunity Lab, Mathematics Statistics, York University, Toronto, ON M3J 1P3, Canada.ORCID 0000-0001-7654-8804
Chapin S KorosecModelling Infection and Immunity Lab, Mathematics Statistics, York University, Toronto, ON M3J 1P3, Canada.ORCID 0000-0001-5137-2195
Samaneh GholamiModelling Infection and Immunity Lab, Mathematics Statistics, York University, Toronto, ON M3J 1P3, Canada.
Morgan CraigSainte-Justine University Hospital Research Centre and Department of Mathematics and Statistics, Université de Montréal, Montreal, QC H3T 1J4, Canada.ORCID 0000-0002-1386-2369
Iain R MoylesCentre for Disease Modelling (CDM), Mathematics Statistics, York University, Toronto, ON M3J 1P3, Canada.ORCID 0000-0003-1127-4085
Mohammad Sajjad GhaemiDigital Technologies Research Centre, National Research Council Canada, Toronto, ON C1A 4P3, Canada.
Hsu Kiang OoiDigital Technologies Research Centre, National Research Council Canada, Toronto, ON C1A 4P3, Canada.ORCID 0000-0001-7934-4866
Jane M HeffernanModelling Infection and Immunity Lab, Mathematics Statistics, York University, Toronto, ON M3J 1P3, Canada.ORCID 0000-0001-9502-1688

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the SARS-CoV-2 global pandemic, several vaccines, including mRNA and adenovirus vector approaches, have received emergency or full approval. However, supply chain logistics have hampered global vaccine delivery, which is impacting mass vaccination strategies. Recent studies have identified different strategies for vaccine dose administration so that supply constraints issues are diminished. These include increasing the time between consecutive doses in a two-dose vaccine regimen and reducing the dosage of the second dose. We consider both of these strategies in a mathematical modeling study of a non-replicating viral vector adenovirus vaccine in this work. We investigate the impact of different prime-boost strategies by quantifying their effects on immunological outcomes based on simple system of ordinary differential equations. The boost dose is administered either at a standard dose (SD) of 1000 or at a low dose (LD) of 500 or 250 vaccine particles. Results show dose-dependent immune response activity. Our model predictions show that by stretching the prime-boost interval to 18 or 20, in an SD/SD or SD/LD regimen, the minimum promoted antibody (Nab) response will be comparable with the neutralizing antibody level measured in COVID-19 recovered patients. Results also show that the minimum stimulated antibody in SD/SD regimen is identical with the high level observed in clinical trial data. We conclude that an SD/LD regimen may provide protective capacity, which will allow for conservation of vaccine doses.

Indexed as

adaptive immune responseadenovirus-based vaccineCOVID-19IgG antibodymathematical modelingneutralizing antibody (NAb)SARS-CoV-2

Identifiers

PMID34451985
PMCPMC8402548

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.