  Given the severe impact of COVID-19 on several societal levels, it is of
crucial importance to model the impact of restriction measures on the pandemic
evolution, so that governments are able to take informed decisions. Even though
there have been countless attempts to propose diverse models since the raise of
the outbreak, the increase in data availability and start of vaccination
campaigns calls for updated models and studies. Furthermore, most of the works
are focused on a very particular place or application and we strive to attain a
more general model, resorting to data from different countries. In particular,
we compare Great Britain and Israel, two highly different scenarios in terms of
vaccination plans and social structure. We build a network-based model, complex
enough to model different scenarios of government-mandated restrictions, but
generic enough to be applied to any population. To ease the computational load
we propose a decomposition strategy for our model.
