PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 26, 2026Bulletin of Mathematical Biology0 citationsOpen Access

Final-Size Solutions for SIRI Models with Vaccination

MGMaria A. GutierrezUniversity of GeorgiaJGJulia R. GogUniversity of Cambridge

Key Points

  • This research aims to develop final-size expressions for SIR models considering partial immunity and vaccination effects.
  • Developed mathematical expressions for cumulative infections in vaccinated and unvaccinated hosts.
  • Explored scenarios of all-or-none and leaky immunity for their impact on epidemic dynamics.
  • Identified reinfection thresholds and their significance for disease persistence.
  • Cumulative primary infections and reinfections were analytically modeled for different immunity scenarios.
  • Under leaky immunity, a reinfection threshold was established, determining disease endemicity.
  • In the all-or-none scenario, epidemics were always transient, regardless of vaccination status.

Abstract

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.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Gutierrez et al. (2026) studied this question.

synapsesocial.com/papers/69c4cdb6fdc3bde44891a5b3https://doi.org/10.1007/s11538-026-01610-w
Ask AI
Helpful
Bookmark
Share
View Full Paper