4 ms·
Another big difference is how much pressure COVID can exert on the hospital system. The COVID hospitalization rates are magnitudes larger than the worst ever fl
by jussij 4y ago
Another big difference is how much pressure COVID can exert on the hospital system. The COVID hospitalization rates are magnitudes larger than the worst ever flu season.
- azinman2 4y agoDon’t forget long covid is estimated at roughly 20%, which is quite significant.
- cf141q5325 4y agoWhich vaccines have very little influence on. https://www.nature.com/articles/d41586-022-01453-0 https://www.nature.com/articles/d41586-022-01453-0 relating to the study https://www.nature.com/articles/s41591-022-01840-0 https://www.nature.com/articles/s41591-022-01840-0
- azinman2 4y agoThat’s not what the thread is about: > Omicron in general for most people is no worse than the flu, unpleasant but bearable.
- cf141q5325 4y agoI know, i was agreeing with you. The long covid numbers are what makes COVID worse. I was pointing out that there is no way around those.
- deleted 4y ago[deleted]
- mrhands556 4y agoFrom covid or with Covid? Covid is treated differently than the flu in healthcare. They naturally have been testing all admissions for Covid. If someone comes in for a broken arm and test positive, then they’re counted against the Covid numbers. Flu numbers typically are a small sample size and extrapolated based on respiratory-like illness admissions in hospitals nationwide.
- sofixa 4y ago> If someone comes in for a broken arm and test positive, then they’re counted against the Covid numbers. You know you have to substantiate such a wild claim, right? Nobody is counting patients with broken arms that happen to have Covid as Covid patients.
- briandon 4y agoDr. Birx back in 2020: "If Someone Dies With COVID-19 We Are Counting That As A COVID-19 Death" https://www.realclearpolitics.com/video/2020/04/08/dr_birx_unlike_some_countries_if_someone_dies_with_covid-19_we_are_counting_that_as_a_covid-19_death.html https://www.realclearpolitics.com/video/2020/04/08/dr_birx_u... In March 2022 (this year), sleuthing by members of the public into inflated pediatric death counts resulted in the CDC deleting 72k alleged covid deaths, blaming a coding error for the overcount: https://www.theguardian.com/world/2022/mar/24/cdc-coding-error-overcount-covid-deaths https://www.theguardian.com/world/2022/mar/24/cdc-coding-err... In one county in Colorado, a coroner pointed out that 2 of 5 covid deaths were actually due to gunshot wounds: "Grand County Coroner Raises Concern On Deaths Among COVID Cases" (Dec 2020): https://www.cbsnews.com/colorado/news/grand-county-covid-deaths/ https://www.cbsnews.com/colorado/news/grand-county-covid-dea... The way that a "covid case" or alleged "covid death" has been counted may have improved over the past 2 years, but 70+ thousand purported covid deaths were just admitted to have been illusory a few months ago and there most definitely have been significant financial incentives for hospitals to claim a particular patient had covid and further incentives for specific treatments (remdesivir, placing them on a vent, etc.).
- cf141q5325 4y agoThis widely varies by countries, as well as often states. It entails what criteria you use for your statistic and how you collect the data. Because unfortunately data collection is one of those things that is assumed to be trivial, but actually quite difficult and costly. Especially in the beginning, you just took the rate of positively tested patients. Because you could do so at a single point in your hospital, the testing center. Figuring out information concerning individual patients means having to collect this information for every individual as well. Let me also point out that this wasnt some grand failure. We were in a situation in which what ever information we could get was really helpful. But you have to be aware, that there is not magic box somewhere that spits out perfect information. All data collection has its limitations, its why we still know very little about long covid. Because getting that data is incredibly difficult, especially at scale.