Evidence map›Paper›PMID 35611620›Full record

ArticleJournal of the Royal Society, Interface2022

Immunological heterogeneity informs estimation of the durability of vaccine protection.

Matthieu Domenech de Cellès, Anabelle Wong, Laura Andrea Barrero Guevara, Pejman Rohani

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

4 authors.

Matthieu Domenech de CellèsInfectious Disease Epidemiology group, Max Planck Institute for Infection Biology, 10117 Berlin, Germany.ORCID 0000-0002-9302-4858
Anabelle WongInfectious Disease Epidemiology group, Max Planck Institute for Infection Biology, 10117 Berlin, Germany.ORCID 0000-0002-5421-8692
Laura Andrea Barrero GuevaraInfectious Disease Epidemiology group, Max Planck Institute for Infection Biology, 10117 Berlin, Germany.ORCID 0000-0002-4607-2101
Pejman RohaniOdum School of Ecology, University of Georgia, Athens, GA 30602, USA.ORCID 0000-0002-7221-3801

Funding

NIAID Centers of Excellence for Influenza Research and Response: Universal Influenza Vaccine Research Activities75N93021C00018 · NIAID · UNIVERSITY OF GEORGIA · PI TOMPKINS, S. MARK · 2021 to 2025
$21.6M
NIAID NIH HHS 75N93021C00018
6 · The paper itself

Abstract

Deciphering the properties of vaccines against an emerging pathogen is essential for optimizing immunization strategies. Early after vaccine roll-out, however, uncertainties about vaccine immunity raise the question of how much time is needed to estimate these properties, particularly the durability of vaccine protection. Here we designed a simulation study, based on a generic transmission model of vaccination, to simulate the impact of a breadth of vaccines with different mean (range: 10 months-2 years) and variability (coefficient of variation range: 50-100%) of the duration of protection. Focusing on the dynamics of SARS-CoV-2 in the year after start of mass immunization in Germany as a case study, we then assessed how confidently the duration of protection could be estimated under a range of epidemiological scenarios. We found that lower mean and higher heterogeneity facilitated estimation of the duration of vaccine protection. Across the vaccines tested, rapid waning and high heterogeneity permitted complete identification of the duration of protection; by contrast, slow waning and low heterogeneity allowed only estimation of the fraction of vaccinees with rapid loss of immunity. These findings suggest that limited epidemiological data can inform the duration of vaccine immunity. More generally, they highlight the need to carefully consider immunological heterogeneity when designing transmission models to evaluate vaccines.

Indexed as

COVID-19VaccinesComputer SimulationHumansSARS-CoV-2VaccinationVaccinesCOVID-19duration of immunityheterogeneitymathematical modellingSARS-CoV-2vaccines

Identifiers

PMID35611620
PMCPMC9131131

What OpenQuestion holds

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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.