Posted on 09/02/2021 7:40:03 PM PDT by SeekAndFind
Did you hear about the Stanford study conducted by Catherine Axfors and John Ioannidis that showed extremely high recovery rates for anyone under the age of 70? No? Then you’re probably still getting your news from Google, Facebook, Twitter, or mainstream media. They have ignored or even censored the study.
Facebook went so far as to post a ludicrous “fact-check” written by an undergraduate with no scientific background. The article they use to “debunk” the study is older than the study itself.
Infection Fatality Rate (IFR) is arguably the most important statistic to use when making policy. At the very least it’s up there with R0 infectious rates statistics. In short, IFR is the percentage of people who have been infected by a disease who end up dying as a direct or indirect result. It excludes non-relevant deaths; someone whose body shows Covid-19 present after dying from a gunshot wound would not be included in proper IFR statistics (but don’t tell the CDC that because they’re not so sure).
The study shows the elderly are by far the most at-risk from Covid-19, but it also concludes that the statistics used by most governments are exaggerated. As for anyone under the age of 70, the IFR is very low, under 1% even for 69-year-olds.
Here is a breakdown of IFRs by age group with a distinction made between elderly living in communities and the elderly overall:
To put these numbers into perspective, out of 100,000 kids aged 0-19 who are infected by Covid-19, around three will die from it. For every 100 people over the age of 70 who are infected by Covid-19, around five will die from it. The difference in how Covid-19 affects different ages is exponential.
We are publishing the abstract, introduction, and methodology of the study. You can find the rest here if you enjoy reading such things. But the meat of the study can be found in the results that are quite eye-opening considering how unhinged the world has become over this disease. Below, I will add some commentary. Here is how the preprint study opens:
Background The infection fatality rate (IFR) of Coronavirus Disease 2019 (COVID-19) varies widely according to age and residence status.
Purpose Estimate the IFR of COVID-19 in community-dwelling elderly populations and other age groups from seroprevalence studies. Study protocol: https://osf.io/47cgb.
Data Sources Seroprevalence studies done in 2020 and identified by any of four existing systematic reviews.
Study Selection SARS-CoV-2 seroprevalence studies with ≥1000 participants aged ≥70 years that presented seroprevalence in elderly people; aimed to generate samples reflecting the general population; and whose location had available data on cumulative COVID-19 deaths in elderly (primary cutoff ≥70 years; ≥65 or ≥60 also eligible).
Data Extraction We extracted the most fully adjusted (if unavailable, unadjusted) seroprevalence estimates and sampling procedure details. We also extracted age- and residence-stratified cumulative COVID-19 deaths (until 1 week after the seroprevalence sampling midpoint) from official reports, and population statistics, to calculate IFRs corrected for unmeasured antibody types. Sample size-weighted IFRs were estimated for countries with multiple estimates. Secondary analyses examined data on younger age strata from the same studies.
Data Synthesis Twenty-three seroprevalence surveys representing 14 countries were included. Across all countries, the median IFR in community-dwelling elderly and elderly overall was 2.4% (range 0.3%-7.2%) and 5.5% (range 0.3%-12.1%). IFR was higher with larger proportions of people >85 years. Younger age strata had low IFR values (median 0.0027%, 0.014%, 0.031%, 0.082%, 0.27%, and 0.59%, at 0-19, 20-29, 30-39, 40-49, 50-59, and 60-69 years).
Limitations Biases in seroprevalence and mortality data.
Conclusions The IFR of COVID-19 in community-dwelling elderly people is lower than previously reported. Very low IFRs were confirmed in the youngest populations.
Most Coronavirus Disease 2019 (COVID-19) affect the elderly (1), and persons living in nursing homes are particularly vulnerable (2). Hundreds of seroprevalence studies have been conducted in various populations, locations, and settings. These data have been used and synthesized in several published efforts to obtain estimates of the infection fatality rate (IFR, proportion of deceased among those infected), and its heterogeneity (3-6). All analyses identify very strong risk-gradient based on age, although absolute risk values still have substantial uncertainty. Importantly, the vast majority of seroprevalence studies include very few elderly people (7). Extrapolating from seroprevalence in younger to older age groups is tenuous. Elderly people may genuinely have different seroprevalence. Ideally, elderly should be more protected from exposure/infection than younger people, although probably the ability to protect the elderly has varied substantially across countries (8). Moreover, besides age, comorbidities and lower functional status markedly affects COVID-19 death risk (9). Particularly elderly nursing home residents accounted for 30-70% of COVID-19 deaths in high-income countries in the first wave (2), despite comprising <1% of the population. IFR in nursing home residents has been estimated to as high as 25% (10). Not separating residents of nursing homes from the community-dwelling may provide an average that is too low for the former and too high for the latter. Moreover, ascertainment and reporting of COVID-19 cases and deaths in nursing home populations show considerable variation across countries (2), with potentially heavy bearing on overall mortality, while community-dwelling elderly data may be less unreliable (especially in high-income countries). Finally, seroprevalence estimates reflect typically community-dwelling populations (enrollment of nursing home residents is scarce/absent in serosurveys).
Here we estimated the COVID-19 IFR in community-dwelling populations at all locations where seroprevalence studies with many elderly individuals have been conducted. Primary emphasis is on the IFR of the elderly. As a secondary analysis, we also explored the IFR of younger age-strata in these same studies.
We identified seroprevalence studies (peer-reviewed publications, official reports, or preprints) in four existing systematic reviews (3, 7, 11, 12) as for a previous project (13), using the most recent updates of these reviews and their respective databases as of March 16, 2021. The protocol of this study was registered at the Open Science Framework (https://osf.io/47cgb) after piloting data availability in December 2020 but before extracting full data, communicating with local authorities and study authors for additional data and performing any calculations. Amendments to the protocol and their justification are described in Appendix Table 1.
There’s a reason Big Tech, mainstream media, and our own government are suppressing studies like this. It’s not unique, and invariably they come to the same basic conclusion. Covid-19 is risky for the elderly, not very risky for young- and middle-aged-adults, and nearly risk-free for people under the age of 20.
The reason this data is suppressed is because it doesn’t jibe the narrative that is being driven by an agenda. That agenda, Pandemic Panic Theater, is a control mechanism. This is how they force kids to wear face masks at school. It’s how they force lockdowns that clearly do not work. And it’s how they promote universal vaccination despite the fact that the vaccines do not appear to be working very well.
Any human with a brain that hasn’t been indoctrinated or dulled by fear should be asking questions about why the narrative is so adamantly being protected in spite of the science. Covid-19 is a serious disease, particularly for the elderly, but it does not warrant the reactions we’ve seen from governments, businesses, or the “arbiters of truth” in media, Big Tech, and academia.
Open your eyes, folks. We’re being lied to on a minute-by-minute basis. There is no other possible reason for such blatant censorship of any true science that betrays the established narrative.
Ping.
Los Angeles study backs Stanford researchers’ conclusion about high prevalence of COVID-19
by Gennady Sheyner / Palo Alto Weekly
Tue, Apr 21, 2020
Seems that Gov Cuomo had insider information about this when he distributed China Virus patients into nursing homes through out NY state rather that use the MASH units in Central Park and the hospital ship in the harbor.
Ping!
FR VPs will be here in 3, 2, 1…..
Those numbers are much smaller in reality because in most cases, the published numbers are the result of denying all treatments and putting people on ventilators, which provide respiratory therapy that is too aggressive for infected lungs. “High flo” oxygen is less damaging and more successful, but the CDC has issued a 340 page Covid Protocol that requires ventilators and prohibits medications like HCQ and IVermectin, and hospitals are shielded from all liability if they strictly adhere to that protocol.
was this pulled?
I go to the link and its a header and blank underneath
Infection fatality rate of COVID-19 in community dwelling elderly
except for a link to:
https://osf.io/4tcsq/
which describes prospective methodology regarding over 70’s but no numbers?
??
Thx for that link.
BTTT
Bookmark
Ioannidis is a Covid skeptic (i.e. Flubro), but his conclusion seems in the ball park. The problem with seroprevalence studies is that it assumes that those who have an asymptomatic infection will acquire the same level of protective immunity as those who have a “real” case of Covid - who actually get sick. If the asymptomatic get immunity then Covid is much less dangerous. If the asymptomatic don’t get immunity, then they will eventually get a real case of Covid and run a substantial risk of death. We have an overall case fatality rate of about 1.5% in the US. Saying the “real” fatality rate is lower is like saying the lung cancer mortality rate is actually lower because lots of people have lung cancer without knowing it and it goes away. I don’t see what the point is of arguing about the fatality rate of people who don’t even get sick. But I would like to know whether the asymptomatic infected get immunity.
Interesting.
Thank you.
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