Evidence map›Paper›PMID 41874728›Full record

ArticleBulletin of mathematical biology2026

Final-Size Solutions for SIRI Models with Vaccination.

Maria A Gutierrez, Julia R Gog

Abstract read
In one paragraph

Article in Bulletin of mathematical biology, 2026. 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

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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

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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. 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

2 authors.

Maria A GutierrezOdum School of Ecology, University of Georgia, Athens, USA. gutierrez@uga.edu.ORCID https://orcid.org/0000-0002-0318-1906
Julia R GogDepartment of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, UK.ORCID https://orcid.org/0000-0003-1240-7214

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the classic SIR model, infection gives full immunity against any possible reinfection. However, for many important epidemiological situations, immunity is only partial and reinfection is possible. Though these models are mathematically more complex, we are able to find expressions for the epidemic final size. We also generalise these expressions to include vaccination, with a fraction of the population vaccinated before the epidemic, where vaccinees are less susceptible to primary infections than unvaccinated hosts.Partial immunity can be interpreted at the population level as providing either full or no protection to each host, in some proportion (all-or-none immunity). In this scenario, we give analytical expressions (mathematically similar to the SIR final-size) for the cumulative primary infections and the cumulative reinfections in unvaccinated and vaccinated hosts. Alternatively, partial immunity can be interpreted as providing homogeneous imperfect protection to each host (leaky immunity). For this other scenario, we again obtain an implicit equation for the final epidemic size. We break down, in terms of the final size, the number of infections in hosts with or without prior immunity (vaccine- or infection- induced), as well as the number of primary infections and reinfections. Under the leaky immunity assumption, we find a form of reinfection threshold. If the relative host susceptibility to reinfection is above this threshold (which is the inverse of the pathogen's basic reproduction number), transmission rates are high enough to support an endemic disease. Below the reinfection threshold, epidemics are transient. In the all-or-none model, epidemics are always transient.

Indexed as

Communicable DiseasesModels, BiologicalModels, ImmunologicalVaccinationAnimalsBasic Reproduction NumberComputer SimulationDisease SusceptibilityEpidemicsHumansMathematical ConceptsReinfectionUnvaccinated PersonsCompartmental modelsEpidemic modelFinal-size solutionPartial immunityReinfection thresholdVaccination

Identifiers

PMID41874728
PMCPMC13013105

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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.