There is a Global problem with the data being used within models to predict future events. Ferguson's ' if policies are working, then we can expect....' is great, but when you've got incorrect data you get incorrect assumptions.
In Spain, where we are told it's getting better, and they just recorded their smallest increase to date, their official figures state that just under 12,000 people have died from CV-19. But in Spain's most sparsely populated area, in March they would expect to have a seasonal average of well under 100 deaths. They have reported 30 CV-19 deaths, but the total for March is 250 from a population of 90k.
Madrid's average care home deaths have tripled for the same period to 3k from 52k, a majority of which are not attributed to CV-19 as there wasn't time to test them.
You start multiplying those numbers and margins of error in calculation on a National level and then whats perceived as a problem becomes a disaster.
We don't record any home and care home deaths as being CV-19 as we don't test them. I don't know if we test everyone who dies in Hospital for CV-19 but Germany tests EVERY person they lose and no matter what underlying causes the patient had, or what the cause of death is recorded as, if they yest positive for V-19 they are added to their Coronavirus victim numbers.
Just within Soria that takes around a 33% increase up to around a 165% increase
No ones using the same criteria, so I'm not sure how you can compare effects of policies and strategies in place on a like for like for basis.