I would treat any attempts to attribute excess deaths to causes as a best endeavours approach (i.e. treat with a pinch of salt!) It's hard and subjective enough to measure the aggregate excess, let alone attribute to causes.
I would treat any attempts to attribute excess deaths to causes as a best endeavours approach (i.e. treat with a pinch of salt!) It's hard and subjective enough to measure the aggregate excess, let alone attribute to causes.
Looks like pneumonia can be parsed out as the baseline during summer, but why conflate?
Must confess I don't understand your Y axis: 3.8% and 12.7% are avged percentage, but of what?
Looks like pneumonia can be parsed out as the baseline during summer, but why conflate?
Must confess I don't understand your Y axis: 3.8% and 12.7% are avged percentage, but of what?
The huge magnitude of variance quoted for excess death modelling vs death certs is not reconcilable imo.
The excess death modelling assoc with flu appears less credible than ONS J09. Are you able to elucidate?
The huge magnitude of variance quoted for excess death modelling vs death certs is not reconcilable imo.
The excess death modelling assoc with flu appears less credible than ONS J09. Are you able to elucidate?
CMOs, Govt, BBC. UKHSA etc seem to use excess death modelling numbers eg NOMIS FluMOMO, resulting in much higher estimates👇
CMOs, Govt, BBC. UKHSA etc seem to use excess death modelling numbers eg NOMIS FluMOMO, resulting in much higher estimates👇