  This paper uses a variety of analytic and computational models to assess the
impact of university student social/study bubbles. Bubbles are being considered
as a means to reduce the potential impact of Covid-19 spread within
Universities, which may otherwise indirectly cause millions of additional cases
in the wider population. The different models agree in broad terms that any
breaking of small bubbles into larger units such as a year group or small
student halls, will lead to substantial impact on the larger community. This
emphasises the need for students to be well-informed and for effective campus
test, track and trace.
