[1] https://www.abs.gov.au/statistics/people/population/deaths-a...
[1] https://www.abs.gov.au/statistics/people/population/deaths-a...
0-19----99.997%
20-49---99.98%
50-69---99.5%
70+-----94.6%
First, deaths aren't the only measure. For every death there are many more people that just barely survive after a hospital stay, and data suggests a significant amount of those people will have long-term problems.
Second, if the hospitals are overloaded by such people (even if most of them survive) then the IFR of Covid can rise higher than 0.5-1%.
...where long-term means a few months at most. People do recover, just uncomfortably slowly.
> Second, if the hospitals are overloaded by such people (even if most of them survive) then the IFR of Covid can rise higher than 0.5-1%.
I'm not so sure about that. These IFR estimates haven't changed much since spring, when half of those hospitalized died.[1,2,3] Our treatment methods have improved since then. If the estimates reflected the IFR with treatment, they would be lower today. So I think an IFR of 0.5-1% is actually the worst case.
Unfortunately, I haven't been able to find any source explicitly comparing death rates with vs without treatment.
[1] https://www.thelancet.com/journals/laninf/article/PIIS1473-3...
[2] https://in.dental-tribune.com/news/new-estimate-by-the-cdc-b...
https://www.cdc.gov/coronavirus/2019-ncov/hcp/planning-scena...
> The parameters in the scenarios:
> Are estimates intended to support public health preparedness and planning.
> Are not predictions of the expected effects of COVID-19.
> Do not reflect the impact of any behavioral changes, social distancing, or other interventions.
Estimates are the realest thing we have.
> Do not reflect the impact of any behavioral changes, social distancing, or other interventions.
How would these things affect the IFR negatively?