Optimising age coverage of seasonal influenza vaccination in England: A mathematical and health economic evaluation
Fig 2
Acquired parameter distributions from the optimisation scheme, fitting to the empirical data.
Parameter densities generated from 100 particles that each returned an error below 30,000. Blue shaded areas outline the scaled density. (Row one) Basic reproduction numbers by strain. (Row two) Immunity propagation parameters. (Row three) Susceptibility by age group. (Row four) Ascertainment probabilities for those aged 100+, by influenza season. (Row five) Relative ascertainment by age. Particularly noteworthy outcomes include: prior season influenza B cross-reactivity and vaccine carry over had little impact on present influenza season susceptibility; the highest ascertainment probability for the 100+ age group occurred in the 2017/18 influenza season; amongst the knot ages to produce the piecewise linear ascertainment function, the greatest ascertainment was observed for those 65 years of age.