A new paper documents that the pre-vaccination case fatality rate was extremely low in the non-elderly population.
Age-stratified infection fatality rate of COVID-19 in the non-elderly population
Environmental Research, Volume 216, Part 3, 1 January 2023, 114655
Abstract
The largest burden of COVID-19 is carried by the elderly, and persons living in nursing homes are particularly vulnerable. However, 94% of the global population is younger than 70 years and 86% is younger than 60 years. The objective of this study was to accurately estimate the infection fatality rate (IFR) of COVID-19 among non-elderly people in the absence of vaccination or prior infection. In systematic searches in SeroTracker and PubMed (protocol: https://osf.io/xvupr), we identified 40 eligible national seroprevalence studies covering 38 countries with pre-vaccination seroprevalence data. For 29 countries (24 high-income, 5 others), publicly available age-stratified COVID-19 death data and age-stratified seroprevalence information were available and were included in the primary analysis. The IFRs had a median of 0.034% (interquartile range (IQR) 0.013–0.056%) for the 0–59 years old population, and 0.095% (IQR 0.036–0.119%) for the 0–69 years old. The median IFR was 0.0003% at 0–19 years, 0.002% at 20–29 years, 0.011% at 30–39 years, 0.035% at 40–49 years, 0.123% at 50–59 years, and 0.506% at 60–69 years. IFR increases approximately 4 times every 10 years. Including data from another 9 countries with imputed age distribution of COVID-19 deaths yielded median IFR of 0.025–0.032% for 0–59 years and 0.063–0.082% for 0–69 years. Meta-regression analyses also suggested global IFR of 0.03% and 0.07%, respectively in these age groups.
The current analysis suggests a much lower pre-vaccination IFR in non-elderly populations than previously suggested.
Large differences did exist between countries and may reflect differences in comorbidities and other factors. These estimates provide a baseline from which to fathom further IFR declines with the widespread use of vaccination, prior infections, and evolution of new variants.
Dr. Robert Malone wrote on his substack that from the data above, Median infection fatality rate (IFR) during the PRE-VACCINATION ERA was:
- 0.0003% at 0–19 years
- 0.002% at 20–29 years
- 0.011% at 30–39 years
- 0.035% at 40–49 years
- 0.123% at 50–59 years
- 0.506% at 60–69 years
These IFR estimates in the non-elderly population are much lower than previous calculations and models had suggested.
We were told first by Neil Ferguson, PhD of Imperial College, later by Dr. Fauci, that millions would die.
Dr. Malone writes:
Ferguson’s team at Imperial College in London has claimed credit for saving millions of lives through the lockdown policies that implemented his models. It is the Imperial College models that projected millions of deaths in the first year in the UK, if stringent lockdowns were not implemented. Once implemented, Ferguson and Imperial college quickly took credit for the “success” of lockdowns.
The estimate of 3.1 million lives saved by Dr. Ferguson was derived from a Thoroughly “ludicrous unscientific exercise, whereby they purported to validate their model by using their own hypothetical projections as a counterfactual of what would happen without lockdowns.
Subscribe to the Daily Newsletter
wpDiscuz
