Posted on 05/25/2020 4:15:28 PM PDT by NoLibZone
That rate is much lower than the numbers used in the horrifying projections that shaped the government response to the epidemic.
According to the Centers for Disease Control and Prevention (CDC), the current "best estimate" for the fatality rate among Americans with COVID-19 symptoms is 0.4 percent. The CDC also estimates that 35 percent of people infected by the COVID-19 virus never develop symptoms. Those numbers imply that the virus kills less than 0.3 percent of people infected by itfar lower than the infection fatality rates (IFRs) assumed by the alarming projections that drove the initial government response to the epidemic, including broad business closure and stay-at-home orders.
The CDC offers the new estimates in its "COVID-19 Pandemic Planning Scenarios," which are meant to guide hospital administrators in "assessing resource needs" and help policy makers "evaluate the potential effects of different community mitigation strategies." It says "the planning scenarios are being used by mathematical modelers throughout the Federal government."
The CDC's five scenarios include one based on "a current best estimate about viral transmission and disease severity in the United States." That scenario assumes a "basic reproduction number" of 2.5, meaning the average carrier can be expected to infect that number of people in a population with no immunity. It assumes an overall symptomatic case fatality rate (CFR) of 0.4 percent, roughly four times the estimated CFR for the seasonal flu. The CDC estimates that the CFR for COVID-19 falls to 0.05 percent among people younger than 50 and rises to 1.3 percent among people 65 and older. For people in the middle (ages 5064), the estimated CFR is 0.2 percent.
That "best estimate" scenario also assumes that 35 percent of infections are asymptomatic, meaning the total number of infections is more than 50 percent larger than the number of symptomatic cases. It therefore implies that the IFR is between 0.2 percent and 0.3 percent. By contrast, the projections that the CDC made in March, which predicted that as many as 1.7 million Americans could die from COVID-19 without intervention, assumed an IFR of 0.8 percent. Around the same time, researchers at Imperial College produced a worst-case scenario in which 2.2 million Americans died, based on an IFR of 0.9 percent.
Such projections had a profound impact on policy makers in the United States and around the world. At the end of March, President Donald Trump, who has alternated between minimizing and exaggerating the threat posed by COVID-19, warned that the United States could see "up to 2.2 million deaths and maybe even beyond that" without aggressive control measures, including lockdowns.
One glaring problem with those worst-case scenarios was the counterfactual assumption that people would carry on as usual in the face of the pandemicthat they would not take voluntary precautions such as avoiding crowds, minimizing social contact, working from home, wearing masks, and paying extra attention to hygiene. The Imperial College projection was based on "the (unlikely) absence of any control measures or spontaneous changes in individual behaviour." Similarly, the projection of as many as 2.2 million deaths in the United States cited by the White House was based on "no intervention"not just no lockdowns, but no response of any kind.
Another problem with those projections, assuming that the CDC's current "best estimate" is in the right ballpark, was that the IFRs they assumed were far too high. The difference between an IFR of 0.8 to 0.9 percent and an IFR of 0.2 to 0.3 percent, even in the completely unrealistic worst-case scenarios, is the difference between millions and hundreds of thousands of deathsstill a grim outcome, but not nearly as bad as the horrifying projections cited by politicians to justify the sweeping restrictions they imposed.
"The parameter values in each scenario will be updated and augmented over time, as we learn more about the epidemiology of COVID-19," the CDC cautions. "New data on COVID-19 is available daily; information about its biological and epidemiological characteristics remain[s] limited, and uncertainty remains around nearly all parameter values." But the CDC's current best estimates are surely better grounded than the numbers it was using two months ago.
A recent review of 13 studies that calculated IFRs in various countries found a wide range of estimates, from 0.05 percent in Iceland to 1.3 percent in Northern Italy and among the passengers and crew of the Diamond Princess cruise ship. This month Stanford epidemiologist John Ioannidis, who has long been skeptical of high IFR estimates for COVID-19, looked specifically at published studies that sought to estimate the prevalence of infection by testing people for antibodies to the virus that causes the disease. He found that the IFRs implied by 12 studies ranged from 0.02 percent to 0.4 percent. My colleague Ron Bailey last week noted several recent antibody studies that implied considerably higher IFRs, ranging from 0.6 percent in Norway to more than 1 percent in Spain.
Methodological issues, including sample bias and the accuracy of the antibody tests, probably explain some of this variation. But it is also likely that actual IFRs vary from one place to another, both internationally and within countries. "It should be appreciated that IFR is not a fixed physical constant," Ioannidis writes, "and it can vary substantially across locations, depending on the population structure, the case-mix of infected and deceased individuals and other, local factors."
One important factor is the percentage of infections among people with serious preexisting medical conditions, who are especially likely to die from COVID-19. "The majority of deaths in most of the hard hit European countries have happened in nursing homes, and a large proportion of deaths in the US also seem to follow this pattern," Ioannidis notes. "Locations with high burdens of nursing home deaths may have high IFR estimates, but the IFR would still be very low among non-elderly, non-debilitated people."
That factor is one plausible explanation for the big difference between New York and Florida in both crude case fatality rates (reported deaths as a share of confirmed cases) and estimated IFRs. The current crude CFR for New York is nearly 8 percent, compared to 4.4 percent in Florida. Antibody tests suggest the IFR in New York is something like 0.6 percent, compared to 0.2 percent in the Miami area.
Given Florida's high percentage of retirees, it was reasonable to expect that the state would see relatively high COVID-19 fatality rates. But Florida's policy of separating elderly people with COVID-19 from other vulnerable people they might otherwise have infected seems to have saved many lives. New York, by contrast, had a policy of returning COVID-19 patients to nursing homes.
"Massive deaths of elderly individuals in nursing homes, nosocomial infections [contracted in hospitals], and overwhelmed hospitals may explain the very high fatality seen in specific locations in Northern Italy and in New York and New Jersey," Ioannidis says. "A very unfortunate decision of the governors in New York and New Jersey was to have COVID-19 patients sent to nursing homes. Moreover, some hospitals in New York City hotspots reached maximum capacity and perhaps could not offer optimal care. With large proportions of medical and paramedical personnel infected, it is possible that nosocomial infections increased the death toll."
Ioannidis also notes that "New York City has an extremely busy, congested public transport system that may have exposed large segments of the population to high infectious load in close contact transmission and, thus, perhaps more severe disease." More speculatively, he notes the possibility that New York happened to be hit by a "more aggressive" variety of the virus, a hypothesis that "needs further verification."
If you focus on hard-hit areas such as New York and New Jersey, an IFR between 0.2 and 0.3 percent, as suggested by the CDC's current best estimate, seems improbably low. "While most of these numbers are reasonable, the mortality rates shade far too low," University of Washington biologist Carl Bergstrom told CNN. "Estimates of the numbers infected in places like NYC are way out of line with these estimates."
But the CDC's estimate looks more reasonable when compared to the results of antibody studies in Miami-Dade County, Santa Clara County, Los Angeles County, and Boise, Idahoplaces that so far have had markedly different experiences with COVID-19. We need to consider the likelihood that these divergent results reflect not just methodological issues but actual differences in the epidemic's impactdifferences that can help inform the policies for dealing with it.
Cuomo says he was following Federal guidelines.
No - its .1% its still 3x (actually .26% on other news sites so 2.6x more)
Given what we now know for certain was happening directed by Obama earlier, dem involvement with chicoms in a further plot wouldnt surprise me.
One question regarding these attempts at removing Trump. I understand certain totally ignorant rank and file liberal crazy dems think then Hillary wins.
Of course Pence would succeed Trump. So what have they gained?
Regular Flu Case Fatality Rates over the last 10 flu seasons range from 0.096%-0.176%, so COVID-19 is running about 2 times as deadly as the regular flu.
The .30% COVID-19 CFR is subject to change (lower) as more antibody testing is done and changes the “denominator”.
‘Given this I don’t see how what we did was an overreaction.’
you’ve really swallowed the proverbial hook, line, and sinker...really, think about it; here we have a corrupt and inefficient World Health Organization that finally saw an opportunity to do something really big, with a new strain of contagion, an epidemiologist’s wet dream...that they portrayed the contagion as Armegeddon is not the least bit surprising...and that authorities given carte blanche to exercise control will exercise that control to a bizarre degree is not the least bit surprising either...
covidcaptivity; covidphobia; hysteriavirus
Hey, MSM! A lesson in Republican vs. Democrat governance. Read it. Learn it. Know it. :)
You are comparing under-50 COVID to total flu. You need to compare under 50 COVID to under 50 flu. The fatality rate for flu is about 1/3 to 1/4 COVID in all age groups except children < 14. In children the CFR is similar, but children are rarely victims of either and are always very compromised to begin with.
Across many news sites. I don't think you'll find that number on the CDC site. I looked there for nearly and hour and couldn't find any number for the mortality rate for influenza. Nor any other website associated with medicine or science.
Ok - so what was it then?
The IFR-S for the seasonal flu is .1%. That's three times.
Even if it was only 2.8 times should that change our public health response?
Me: "Now I get that's worse than the flu-for-under-50."
But thank you for the exact worse-ness.
You: "The fatality rate for flu is about 1/3 to 1/4 COVID in all age groups except children < 14."
4 times worse certainly sucks ... and I think many of us expected it was going to settle around here in the 'nasty flu' area ... and I knew CDC came out with yet another adjustment to their fear mongering numbers ... I just didn't realize CDC had dropped it into into same-order-of-magnitude levels. Surprised to hear the government say it. I guess the stats were getting overwhelming and they could only maintain the panic levels for so long without losing any semblance of relevance to the discussion.
3% is still 3x more than the average flu death rate of 1%. I’m willing to bet this ends up closer to 2% when the final tallies are made. Assuming we actually get the truth out of this. This was absolutely a manufactured crisis.
The average average flu death rate is not what makes a meaningful comparison for a precedent, and for which we have the Asian flu pandemic of 1957-1958 resulted in a estimated 116,000 deaths in America (followed by the Hong Kong flu with about est. 100,000 American deaths in 1968–69), when at about 173,000,000, the population size in 57-58 was close to half of what it is now (330,541,000, rounded figures). Meaning that not only was the infection death rate much higher than for COVID-19, but there would have to be about 200,000 COVID-19 est. deaths to be comparable to the Asian flu. Yet that would simply make it basically equal as concerns the numbers of deaths in proportion to population size, but to justify the "CovidCaptivity," one would have to argue that the Asian flu should have necessitated a response like that to COVID-19. The Soviets would have favored that for sure.
The question then is, where was the COVID-19 comparative response in 57-58 in proportion to its threat? Yes, the 116,000 deaths in America to the Asian flu was for the whole year, yet even if we reach about 200,000 deaths (we pray not) for COVID-19 then that type of equality would still mean that the extremely restrictive all-ages long-term response to COVID-19 simply has no precedent in American history, except to a degree with the far more deadly (550,000 to 675,000 Americans, or 0.66% of the population) 1918 flu.
And yet we read that baseball teams played.
Does COVID-19 truly warrant a nationwide shutdown?
No, and that has been made increasingly clear. The predicted dire need for hospital beds did not overall materialize, while most of those who were infected and died have been among those who are quarantined, especially elder care facilities which account for over 40% of US deaths.[1]
Up to about 80 percent of those infected with COVID-19 are estimated to be silent carriers, [2] meaning they show no symptoms (the New York City labor and delivery unit found 88 percent of infected patients had no symptoms, [3] while over 600 sailors on the coronavirus-stricken aircraft carrier Theodore Roosevelt tested positive, yet 60% of them had no symptoms such as fever, fatigue, or cough,[4]and in four U.S. state prisons nearly 3,300 inmates test positive for coronavirus yet 96% were without symptoms[5] and or recover without medical care[6]) Which means that the infected fatality rate is much lower than the misleading case fatality rate that is usually quoted.
Meanwhile the vast majority of those who die because it are 65 years-old or more[7] and with almost 25% of all documented Covid-assigned (which does not mean the subject was tested for Covid) fatalities in the US (91,976 as of May 18 at 8:49PM EDT) are from New York (28,480)[8] and according to one report 54% of all U.S. deaths were in the 100 counties in or within 100 miles of NYC.
And the Centers for Disease Control and Prevention (CDC) reported that almost 90 percent of U.S. coronavirus patients who have been hospitalized had underlying health problems, or comorbidities.[9]
And which relates to the issue of inaccurate fatality numbers, partly due to the problem of determining the actual cause of death and the CDC guidelines which allow for reporting COVID-19 as the “probable” or “presumed” cause on the death certificate if the certifier even suspects COVID-19 was likely (e.g., the circumstances were compelling within a reasonable degree of certainty), the cause.[10] Which resulted in NYC suddenly adding 3,700 additional people to its death count[11](also, Federal legislation pays hospitals higher Medicare rates for COVID-19 patients and treatment[12]), leading to charges of over-counting[13][14] while Pennsylvania removed some after coroner reports.[15] Later, Colorado’s Health Department revised their official coronavirus death count from 1,150 as of May 15 downward to 878 (a reduction of 23.7 percent) and created two separate distinguishing categories, one of people who died directly because of the virus and another of people who had COVID-19 at their time of death but died of other causes that may not be attributable to the virus.[16][17] However, some others believe the problem is more that of under-counting. [18]
Also, another study finds that the risk of coronavirus spreading in schools is 'extremely low'.[19]
And while states continue to parrot the “stay sheltered” mantra, research shows that sunlight destroys virus quickly[20], and even a Department of Homeland Security official affirmed that increasing temperatures, humidity and sunlight are detrimental to coronavirus saliva droplets on surfaces and in the air.[21] Also, over 600 doctors signed onto a letter sent to President Trump favoring an end the "national shutdown," referring to it as being a "mass casualty incident" with "exponentially growing health consequences."[22]
Yet miles upon miles of parks and public waterfronts are shutdown, and for too long NY put infected persons in nursing homes[23] (and as of April 26, about 40 percent of COVID-19 deaths were in the state of New York alone. New Jersey was in second place, with nearly 5,900[24]yet the death rate is uncritically employed to justify nationwide lockdowns) while in states such as Illinois law-breaking prisoners were released from their “quarantine” - including some “high risk” sexual offenders[25] and some convicted of murder - [26] and almost a third of county jail inmates have been released from facilities during the coronavirus pandemic.[27] Meanwhile over 2,000[28] of the most vulnerable souls a day in “quarantine” - their mother’s womb - are murdered, many by the same persons claim to be for protecting the vulnerable.
Moreover, the extremely restrictive all-ages long-term response to COVID-19 simply has no precedent in American history except (to a degree) that of the 1918 flu (in which baseball was still played) which up t 675,000 deaths are attributed.[29]
The Asian flu pandemic of 1957-1958 resulted in a estimated 116,000 deaths in America[30] (followed by the Hong Kong flu with about est. 100,000 American deaths in 1968–69), when at about 173,000,000, the population size in 57-58 was close to half of what it is now (330,541,000, rounded figures).
Meaning that not only was the infection death rate much higher than for COVID-19, but there would have to be about 200,000 COVID-19 est. deaths to be comparable to the Asian flu as regards percentaged of population. Yet that would simply make it basically equal as concerns the numbers of deaths in proportion to population size, but to justify the "CovidCaptivity," one would have to argue that the Asian flu should have necessitated a response like that to COVID-19. The Soviets would have favored that for sure.
The question then is, where was the COVID-19 comparative response in 57-58 in proportion to its threat? Yes, the 116,000 deaths in America to the Asian flu was for the whole year, yet even if we reach about 200,000 deaths (we pray not) for COVID-19 then that type of equality would still mean that the extremely restrictive all-ages long-term response to COVID-19 simply has no precedent in American history, except to a degree with the far more deadly (550,000 to 675,000 Americans, or 0.66% of the population) 1918 flu.
And during which medics found that severely ill flu patients nursed outdoors recovered better than those treated indoors. A combination of fresh air and sunlight seems to have prevented deaths among patients; and infections among medical staff. [31]
Finally, last but not least, the long-term cost for the questionable[32]“cure” - as meaning preventing deaths via the stay-sheltered COVID captivity - will be more costly in lives and money including psychosocial consequences[33] than a more moderate response that would allow for a faster rise in cases but a better decrease and overall a more healthy populace in the long run. [34][35][36]
Economically, estimates project total losses in state and local revenue of up to 45 percent, effecting 90,000 nonfederal-government entities that provide and pay for most of the government services that Americans receive.[37] And while states look to the Federal government to bail them out, the additional costs and declining revenues stemming from Covid-19 are expected to produce a 2020 budget deficit in excess of $4.2 trillion.[38]
And most of government income comes from taxes, via businesses and those who are employed ( income taxes, payroll taxes, and corporate taxes)[39], yet businesses are failing across America, and in New York alone the governor stated that small businesses constitute “90 percent of New York's businesses” and “more than 100,000 have shut permanently since the pandemic hit.”[40]
Moreover (as of May 20), with 2.43 million in America filing for an unemployment,[41] the rate is at least 20%.[42] Also, according to one meta-analysis of 42 studies involving 20 million people, the risk of death increases 63 percent when one loses their job, and that for every one percentage point increase in the unemployment rate, there are 37,000 deaths, mainly from heart attacks, but another 1,000 from suicides and another 650 from homicides.[43]
And as concerns just suicide, we have reports such as “Calls to suicide and help hotline in Los Angeles increase 8,000% due to coronavirus,”[44] and “Doctors at John Muir Medical Center in Walnut Creek say they have seen more deaths by suicide during this quarantine period than deaths from the COVID-19 virus,”[45]
Yet while we seek to save lives, 7,000 Americans die every day in the US from a wide range of causes [46] - besides over 2,000 a day being slain in the “quarantine” of their mother’s womb[47] - my prayer is that all sinners will come to repentance and faith in the risen Lord Jesus and be baptized and follow Him.
Hope this helps. PeaceByJesus
Footnotes
Sorry, don't do global conspiracy theories.
Those must be case fatality rates (CFR), which means those who were classed as infected, and since most testing or diagnosis was usually of those who were sick enough to qualify for such, then it means these cases were those most likely to die. Yet it is est. that estimated that about 80% of those infected with Covid-19 experience a mild case [WHO said the like] – about as serious as a regular cold – and recover without needing any special treatment. When these are factored in, you have the infected fatality rate, which is much lower.
Considering that a large number of cases are asymptomatic (or present with very mild symptoms) and that testing has not been performed on the entire population, only a fraction of the SARS-CoV-2 infected population is detected, confirmed through a laboratory test, and officially reported as a COVID-19 case. The number of actual cases is therefore estimated to be at several multiples above the number of reported cases. The number of deaths also tends to be underestimated, as some patients are not hospitalized and not tested...Actual Cases (1.7 million: 10 times the number of confirmed cases)...Actual Deaths (23,000: almost twice the number of confirmed deaths)
How can I tell you what it was when I couldn’t find the number on any medical/government/research website?
That was pretty much my point. The only place you can find a mortality rate for influenza is on news sites.
And they never source that information.
I use the figure of “15x reported cases” or 5%-7% of the total population (have been infected...the “denominator”)...using those #’s you still get a CFR of 0.19% for CA, 0.32% for the USA minus N.Y. & N.J., and 0.49% for the USA as a whole.
Bottom Line...
Almost 5% of the USA population has been tested for COVID infection or COVID antibodies.
In spite of that, the CDC still does NOT publicly estimate the TOTAL number of Americans who have been infected with the virus.
If CDC released THAT number, we could do our own calculations.
My best estimate - 10% of the USA population has been infected.
If my estimate is correct, then COVID is only slightly more deadly than seasonal influenza - but just for the elderly and the infirm.
In addition, if the CDC counted influenza deaths with the same fraudulent method they use to count COVID deaths, influenza deaths would be at least 100,000 EVERY year.
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