Evidence map›Paper›PMID 25833186›Full record

ArticleJournal of mathematical biology2015

Immuno-epidemiology of a population structured by immune status: a mathematical study of waning immunity and immune system boosting.

M V Barbarossa, G Röst

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In one paragraph

Article in Journal of mathematical biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 58 citations in OpenAlex.

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  8. Immuno-epidemiology and pathophysiology of coronavirus disease 2019 (COVID-19).Journal of molecular medicine (Berlin, Germany) · 2020
    Review
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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

2 authors at 1 institution in 1 country.

M V BarbarossaBolyai Institute, University of Szeged, Aradi vértanúk tere 1, 6720, Szeged, Hungary. barbarossamv@gmail.com.
G RöstBolyai Institute, University of Szeged, Aradi vértanúk tere 1, 6720, Szeged, Hungary. rost@math.u-szeged.hu.
University of Szeged · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When the body gets infected by a pathogen the immune system develops pathogen-specific immunity. Induced immunity decays in time and years after recovery the host might become susceptible again. Exposure to the pathogen in the environment boosts the immune system thus prolonging the time in which a recovered individual is immune. Such an interplay of within host processes and population dynamics poses significant challenges in rigorous mathematical modeling of immuno-epidemiology. We propose a framework to model SIRS dynamics, monitoring the immune status of individuals and including both waning immunity and immune system boosting. Our model is formulated as a system of two ordinary differential equations (ODEs) coupled with a PDE. After showing existence and uniqueness of a classical solution, we investigate the local and the global asymptotic stability of the unique disease-free stationary solution. Under particular assumptions on the general model, we can recover known examples such as large systems of ODEs for SIRWS dynamics, as well as SIRS with constant delay.

Indexed as

Models, ImmunologicalCommunicable DiseasesDisease SusceptibilityHost-Pathogen InteractionsHumansImmune SystemMathematical ConceptsAbstract Cauchy problemBoostingDelay equationsGlobal stabilityImmune statusImmuno-epidemiologyPhysiological structureReinfectionWaning immunity

Identifiers

PMID25833186
OpenAlexW1976856336

What OpenQuestion holds

Textmetadata
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.