elbows
Well-Known Member
No doubt discussed elsewhere on the boards, so apologies, but the story "Coronavirus may have infected half of UK population — Oxford study" <if true, wouldnt it be coming up in testing? Or is the study saying we might have it AND it doesnt show up on tests? I know we're not testing much here in the UK, but presumably its simliar in other countries where testing is wider.
There is plenty of backwards thinking in those headlines, although the study does still say some things that can allow such a headline to be generated.
What the Oxford model is really supposed to do is define a relationship between how many people will require hospitalisation, and how many are already immune.
So the model is not supposed to be a replacement for antibody studies in the population. Rather, it desperately needs that testing to be done, so that the results can be fed into their model, and estimates for hospitalisation over time generated as a result.
Our simulations are in agreement with other studies that the current epidemic wave in the UK and Italy in the absence of interventions should have an approximate duration of 2-3 months, with the number of deaths lagging behind in time relative to overall infections. Importantly, the results we present here suggest the ongoing epidemics in the UK and Italy started at least a month before the first reported death and have already led to the accumulation of significant levels of herd immunity in both countries. There is an inverse relationship between the proportion currently immune and the fraction of the population vulnerable to severe disease'.
This relationship can be used to determine how many people will require hospitalisation (and possibly die) in the coming weeks if we are able to accurately determine current levels of herd immunity. There is thus an urgent need for investment in technologies such as virus (or viral pseudotype) neutralization assays and other robust assays which provide reliable read-outs of protective immunity, and for the provision of open access to valuable data sources such as blood banks and paired samples of acute and convalescent sera from confirmed cases of SARS-CoV-2 to validate these. Urgent development and assessment of such tests should be followed by rapid implementation at scale to provide real-time data. These data will be critical to the proper assessment of the effects of social distancing and other measures currently being adopted to slow down the case incidence and for informing future policy direction.
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