Evidence map›Paper›PMID 40534775›Full record

ArticleInfectious Disease Modelling2025

Modelling and investigating memory immune responses in infectious disease. Application to influenza a virus and sars-cov-2 reinfections.

Mathilde Massard, Bruno Saussereau, Catherine Chirouze, Quentin Lepiller, Raluca Eftimie, Antoine Perasso

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Infectious Disease Modelling, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Mathilde MassardLaboratoire de Mathématiques de Besançon, Université de Franche-Comté, UMR-CNRS 6623, 16 route de GRAY, 25030, Besançon, France.
Bruno SaussereauLaboratoire de Mathématiques de Besançon, Université de Franche-Comté, UMR-CNRS 6623, 16 route de GRAY, 25030, Besançon, France.
Catherine ChirouzeLaboratoire Chrono-environnement, Université de Franche-Comté, UMR-CNRS 6249, 16 route de GRAY, 25030, Besançon, France.
Quentin LepillerLaboratoire Chrono-environnement, Université de Franche-Comté, UMR-CNRS 6249, 16 route de GRAY, 25030, Besançon, France.
Raluca EftimieLaboratoire de Mathématiques de Besançon, Université de Franche-Comté, UMR-CNRS 6623, 16 route de GRAY, 25030, Besançon, France.
Antoine PerassoLaboratoire Chrono-environnement, Université de Franche-Comté, UMR-CNRS 6249, 16 route de GRAY, 25030, Besançon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding effector and memory immune responses against influenza A virus (IAV) and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections and re-infections is extremely important, given that they are now endemic in the community. The goal of this study is to investigate the role of memory cells and antibodies in the immune responses against IAV and SARS-CoV-2 re-infections. To this end, we adapt a previously-published within-host mathematical model (Sadria & Layton, 2021) for the primary immune response against SARS-CoV-2 infections, by including two types of memory immune cells, i.e., memory CD8

Indexed as

Covid-19ImmunologyInfluenza aMemory cellsSARS-CoV-2Within-host model

Identifiers

PMID40534775
PMCPMC12173825

What OpenQuestion holds

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LicenceCC BY
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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.