The UK is in deep trouble, due to the sheer number of active cases.
But I wouldn't go blaming all of this on a new variant. The modelling is quite weak as it is based on a lot of unproven assumptions about transmissibility.
I suspect the model and the rest of the hype is partly being used as a tool to try and scare people into doing the right thing (and perhaps partly used to deflect blame as well).
These models don't tend to take into account dynamic changes in behaviour that people naturally take when increasingly afraid (independent of government laws) of transmission. This is one of the reasons why we don't actually see the true "exponential" spread that would predict that everyone in society is infected in a matter of 1-2 months. But they also don't consider that while the general population might be doing the right thing, substantial transmission can occur due to a minority of people doing the wrong thing.
Davies et al. 2020 said:
To understand possible biological mechanisms for the observed dynamics associated with VOC 202012/01, we considered four alternative hypotheses for why the new variant might be spreading more efficiently: increased infectiousness; immune escape; increased susceptibility among children; and shorter generation time.
The model (Fig S1) which is used for their future projections, given use of vaccines also had several notable assumptions. The first that the vaccine model they used only assumes 60% efficacy against infection (95% efficacy against disease). This is not enough to achieve "herd immunity" even if 100% of the population was vaccinated. I am not 100% certain, but the model also assumes that if a vaccinated individual is infected, then they have similar infectiousness as someone who was not vaccinated.
The second is that they assume a zero "waning rate of vaccination" (which is reasonable for the short time period modelled), and they also modelled several different assumptions about (less than 100%) "cross-protection" between earlier variants and the new VOC 202012/01 variant.
"Estimation of change in mobility over time" was based on Google Community Mobility data and "Estimation of social contacts over time" was based on "CoMix survey" data (weekly survey of face-to-face contact patterns, taken from a sample of approximately 2500 individuals). So their model is susceptible to a variety of biases, including social desirability bias (people lying on the Comix survey, claiming less face-to-face contact during the lockdown) and statistical limitations where those surveyed are in limited numbers for the areas being modelled. These surveys are used as a proxy to imply how the general population is behaving.
So to be quite clear, the conclusion that the increased transmission of the variant is not due to differences in population behaviour is based on the assumption that the people who are spreading the virus are behaving in exactly the same way as those included in the surveys (with respect to number of face to face contacts and mobility). (and this applies to other factors like mask wearing etc).
General discussion (not related to the paper):
Other nations have shown that the pandemic can be controlled without using "tier 4" style lockdowns or vaccines. The principle is simple: quarantine.
Forced isolation of all of those who are at risk until the virus is eliminated from the community and force all travellers to isolate until there is no risk that they are infected. Of course this isn't foolproof as people don't always obey the rules (and it is difficult to achieve 100% isolation), so a layer of contact tracing to make sure that all local spread is tracked and traced and close contacts at high risk are forced to isolate until confirmed that they are not infectious. If there is significant untraceable community transmission, then this is a trigger for lockdown-type measures, until contact tracing is effective again.
So there is an alarming alternative conclusion to that of increased transmissibility, namely a subset of people who are taking much less care than the general population!