2026/05/31 by Julien Arino, Morgan Craig, Clotilde Djuikem +2
Biochemistry, Genetics and Molecular Biology · #q-bio.PE #q-bio.QM #msc:92D30 #msc:92C45 #msc:35Q92
arxiv created 2026/07/30 · arxiv updated 2026/08/03
We present a methodology providing a one-directional link from within-host individual heterogeneity to population-level disease transmission dynamics. The methodology works in several steps. A within-host model is investigated numerically to determine pathogen and immunological parameters leading to the largest variation of model responses. These key parameters are used to generate a synthetic population of individuals whose temporal immunological response profiles are recorded. These responses are ranked in terms of the severity of experienced outcomes, from mild infections to death, as a function of time since infection. This is used to parametrise an age-of-infection structured epidemiological model to study the transmission dynamics of the disease at the population level. The approach is illustrated using a within-host model describing SARS-CoV-2 infection and an SIR population-level model.