Evidence map›Paper›PMID 37502609›Full record

ArticleInfectious Disease Modelling2023

An immuno-epidemiological model for transient immune protection: A case study for viral respiratory infections.

A Hoyer-Leitzel, S M Iams, A J Haslam-Hyde, M L Zeeman, N H Fefferman

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Infectious Disease Modelling, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

A Hoyer-LeitzelDepartment of Mathematics and Statistics, Mount Holyoke College, 50 College St, South Hadley, MA, 01075, USA.
S M IamsJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, USA.
A J Haslam-HydeDepartment of Mathematics and Statistics, Boston University, USA.
M L ZeemanDepartment of Mathematics, Bowdoin College, USA.
N H FeffermanDept of Mathematics & Dept of Ecology and Evolutionary Biology & NIMBioS, University of Tennessee, Knoxville, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The dynamics of infectious disease in a population critically involves both within-host pathogen replication and between host pathogen transmission. While modeling efforts have recently explored how within-host dynamics contribute to shaping population transmission, fewer have explored how ongoing circulation of an epidemic infectious disease can impact within-host immunological dynamics. We present a simple, influenza-inspired model that explores the potential for re-exposure during a single, ongoing outbreak to shape individual immune response and epidemiological potential in non-trivial ways. We show how even a simplified system can exhibit complex ongoing dynamics and sensitive thresholds in behavior. We also find epidemiological stochasticity likely plays a critical role in reinfection or in the maintenance of individual immunological protection over time.

Indexed as

Flow-kick dynamicsImmune boostingImmuno-epidemiologyPriming numberViral-immune mathematical model

Identifiers

PMID37502609
PMCPMC10369473

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.