  Routine public health surveillance of notifiable infectious diseases gives
rise to weekly counts of reported cases -- possibly stratified by region and/or
age group. We investigate how an age-structured social contact matrix can be
incorporated into a spatio-temporal endemic-epidemic model for infectious
disease counts. To illustrate the approach, we analyze the spread of norovirus
gastroenteritis over 6 age groups within the 12 districts of Berlin, 2011-2015,
using contact data from the POLYMOD study. The proposed age-structured model
outperforms alternative scenarios with homogeneous or no mixing between age
groups. An extended contact model suggests a power transformation of the
survey-based contact matrix towards more within-group transmission.
