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Mathematical models have been used to understand the spread patterns ofinfectious diseases such as Coronavirus Disease 2019 (COVID-19). Thetransmission component of the models can be modelled in an age-dependent mannervia introducing contact matrix for the population, which describes the contactrates between the age groups. Since social contact patterns vary from countryto country, we can compare and group the countries using the correspondingcontact matrices. In this paper, we present a framework for clusteringcountries based on their contact matrices with respect to an underlyingepidemic model. Since the pipeline is generic and modular, we demonstrate itsapplication in a COVID-19 model from R\"ost et. al. which gives a hint aboutwhich countries can be compared in a pandemic situation, when onlynon-pharmaceutical interventions are available.

Clustering of countries based on the associated social contact patterns in epidemiological modelling