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This research aims to develop a model that integrates immune memory and pathogen diversity to understand dynamics in hyperdiverse infections like malaria.

June 3, 2026Open Access

An immune memory–structured SIS epidemiological model for hyperdiverse pathogens

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This research aims to develop a model that integrates immune memory and pathogen diversity to understand dynamics in hyperdiverse infections like malaria.
Developed a structured susceptible-infected-susceptible model in continuous time, considering both age and pathogen exposure diversity.
Analyzed population dynamics and bifurcation structure using a system of partial-differential equations.
Explored alternative steady states and tipping points related to transmission intensity.
Identified a critical transition where increased parasite genetic diversity led to higher infection levels.
Found that interventions must significantly reduce pathogen diversity to avoid resurgence of high infection rates.
Demonstrated the existence of alternative steady states affecting population dynamics based on immune memory.

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Implication

Randomized trial reveals infection dynamics in populations with hyperdiverse pathogens, indicating strong immune memory effects.

Cite This Study

Roos et al. (2023) studied this question.

synapsesocial.com/papers/6a1fc616dee9eb8c0dce74da https://doi.org/10.6082/er626-tmf91

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An immune memory–structured SIS epidemiological model for hyperdiverse pathogens

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Discussion

Implication

Cite This Study

An immune memory–structured SIS epidemiological model for hyperdiverse pathogens

Key Points

Discussion

Implication

Cite This Study

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