Making inference of generalised contact matrices feasible

ABSTRACT
We will present our approaches and aim to discuss with everyone interested at ISI how social contact matrices could be estimated beyond the usual 2D age-age dimensions to capture important further variation by socio-economic status, household size, multi-dimensional indicators of deprivation, or race and ethnicity. We present a fully model-based approach termed “high-res Bayesian Rate Consistency model” that leverages population-level symmetry and marginalisation constraints, and thereby enables estimation of higher resolution generalised contact matrices from typically available contact study sample sizes.