| Since we're on the topic, shouldn't this (hospital admissions) be the almost singular criterion to influence public policy / restrictive measures? The line I've heard repeatedly is we're waiting for "total" herd immunity, as in ensuring almost all of a population is potentially protected from the virus. Frequently quoting fall / end of 2021, potentially into 2022. Shouldn't the only benchmark be those with medium-to-high risk of hospitalization? (Determination of risk however you'd like to do it.) Put another way, you wouldn't shut the world down if a bunch of people got sick for a few days. You may, and indeed we have, shut it down if a large part of the population were at risk of hospitalization or death. In many developed countries, that population is looking at full inoculation (for those who want it) sometime this spring. Should that not be the "end" of it? |
Given the high correlation between COVID# cases (or %Positive) and hospitalizations, why not just use COVID# and "gain" 2 weeks of information?
Hospitalizations are weeks delayed from COVID# or %Positive spikes. Its a slow moving disease: taking 5 to 14 days before people feel sick, and then a week or two AFTER that before people decide to go to the hospital.
As such, if you see a spike of hospitalization, you're already 3-weeks late to the results (ie: hospital spikes are associated with infections that occurred 3+ weeks ago).
In contrast, watching COVID# or %Positive numbers gets you much closer to the ~5-14 day period where symptoms appear (and thanks to contact tracing, some people may test themselves before symptoms arrive: gaining a few precious days in the information war). Hospitalizations and Deaths are strongly correlated (with a few weeks delay). So you're effectively gaining a week-or-two worth of information.
Its better to be only 1-2 weeks behind (watching COVID#), rather than being 3-4 weeks behind (watching Hospitalization#).