Making inference of generalised contact matrices feasible
Understanding and quantifying changing patterns in human contacts is an important component in the mathematical modelling of infectious disease dynamics. Here, a particular open challenge involves 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. Another open challenge involves monitoring individual-level heterogeneities in contact intensities that delineate infectious disease transmission dynamics over the resulting large-scale contact networks. I will present our efforts to provide broadly applicable and computationally scalable solutions to these challenges. This is joint work with Shozen Dan, Zhi Ling and Swapnil Mishra.
Location: White City, School of Public Health Building
Room: SPH 202 – Seminar Room
In-person event. If you wish to join online, please register here
