  In this paper we present a multi-attribute decision support framework for
choosing between countermeasure strategies designed to mitigate the effects of
COVID-19 in the UK. Such an analysis can evaluate both the short term and long
term efficacy of various candidate countermeasures.The expected utility scores
of a countermeasure strategy captures the expected impact of the policies on
health outcomes and other measures of population well-being. The broad
methodologies we use here have been established for some time. However, this
application has many unusual elements to it: the pervasive uncertainty of the
science; the necessary dynamic shifts between states within each candidate
suite of counter measures; the fast moving stochastic development of the
underlying threat all present new challenges to this domain. We incorporate
these within our framework. Further, we demonstrate our framework through an
example where we evaluate several strategies by considering short- and
long-term attributes that impact on the health of our population.
