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Flawed Archives - Virus Reports http://virusreports.net/tag/flawed/ Thu, 16 Jul 2020 21:21:51 +0000 en-US hourly 1 https://wordpress.org/?v=6.7.7 https://s3.us-west-1.wasabisys.com/virusreports/2020/05/cropped-virus-favicon-32x32.png Flawed Archives - Virus Reports http://virusreports.net/tag/flawed/ 32 32 $75B to fix “flawed” U.S. COVID-19 testing https://virusreports.net/75b-to-fix-flawed-u-s-covid-19-testing/ https://virusreports.net/75b-to-fix-flawed-u-s-covid-19-testing/#respond Thu, 16 Jul 2020 21:21:51 +0000 https://virusreports.net/75b-to-fix-flawed-u-s-covid-19-testing/ According to a report from a bipartisan committee of experts assembled by the Rockefeller Foundation, the U.S. should invest a whopping $75B to "fix" its "flawed" system of COVID-19 diagnostic testing. Recommendations: Rapid expansion of testing capacity from today's 4.5M tests per week to 30M tests per week by October. Massive scale-up of screening tests…

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According to a report from a bipartisan committee of experts assembled by the Rockefeller Foundation, the U.S. should invest a whopping $75B to “fix” its “flawed” system of COVID-19 diagnostic testing.

Recommendations:

Rapid expansion of testing capacity from today’s 4.5M tests per week to 30M tests per week by October.

Massive scale-up of screening tests to identify asymptomatic carriers.

Reduce test processing time from today’s 5-14 days to 48 hours (appears to be a logistics issue).

The Foundation says it will invest an additional $50M toward realizing the emergency requirements outlined in the report. It provides no further details to support the $75B figure.

The $25B the U.S. government committed for COVID-19 testing several months ago was not addressed. Those funds should be more than adequate for scale up.

U.S. COVID-19 testing capacity still constrained – AACC

Coronavirus testing available in every state – CDC

Read More

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Flawed COVID hypothesis may have saved Washington from being NYC https://virusreports.net/flawed-covid-hypothesis-may-have-saved-washington-from-being-nyc/ https://virusreports.net/flawed-covid-hypothesis-may-have-saved-washington-from-being-nyc/#respond Fri, 29 May 2020 03:21:22 +0000 https://virusreports.net/flawed-covid-hypothesis-may-have-saved-washington-from-being-nyc/ correcting course — Researchers urge caution on genetic studies early in outbreaks. Beth Mole - May 29, 2020 2:07 am UTC Enlarge / KIRKLAND, Wash.: A patient is shielded as they are put into an ambulance outside the Life Care Center of Kirkland on March 7, 2020. Several residents have died from COVID-19, and others…

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correcting course —

Researchers urge caution on genetic studies early in outbreaks.


People in protective gear load a stretcher-bound patient into an ambulance.

Enlarge / KIRKLAND, Wash.: A patient is shielded as they are put into an ambulance outside the Life Care Center of Kirkland on March 7, 2020. Several residents have died from COVID-19, and others have tested positive for the novel coronavirus.

When cases of COVID-19 began popping up in Washington state in late February, researchers were quick to dive into the genetics of the viruses infecting residents. Based on what they knew at the time, they hypothesized that those cases in late February were genetically linked to the very first case found in the state—one in a person who arrived in Washington on January 15 after traveling from Wuhan, China, where the outbreak began. The case was also the first infection identified in the whole of the United States.

If correct, the genetic hypothesis linking the late February cases to that very first case meant that early efforts to contain the pandemic coronavirus—isolating the initial patient, tracing contacts, etc.—had failed spectacularly. It also meant that the virus, SARS-CoV-2, had been cryptically circulating in the state for six weeks. And that would mean that, in addition to those early cases, there were potentially hundreds or thousands of others out there, undetected and possibly spreading the infection further.

The hypothesis played into state officials’ decision to issue some of the country’s earliest social-distancing measures. But now that we know far more about the genetics of circulating SARS-CoV-2 viruses, that hypothesis appears to be wrong.

At this point, researchers now have the full genetic blueprints of more than 25,000 SARS-CoV-2 viruses isolated from patients. And with all that accumulated knowledge, a new analysis suggests that the cases detected in Washington in late February were not linked to that first case in January. Rather, the Evergreen State’s February outbreak was likely sparked by additional introductions of SARS-CoV-2 strains. The analysis pegs the igniting introduction to February 13, two weeks before the cases became apparent.

An important note: the new analysis is a preprint, which means it has not yet been published in a scientific journal or gone through the standard scientific vetting of peer review.

That said, several researchers accept the findings—generally, at least. And the analysis flows into a growing stream of cautions and corrections about genetic analyses done early in an emerging outbreak.

Origin story

Specifically, the type of analyses in question are phylogenetic, i.e., looking at genetic variation and evolution of individual organisms to understand how they relate to each other. All COVID-19 victims are infected with the novel coronavirus, SARS-CoV-2, of course. But not all SARS-CoV-2 viruses are exactly the same. When a person is infected, SARS-CoV-2 viral particles get into cells of the body and hijack the cells’ molecular machinery to make viral copies of themselves, which can then go on to infect someone else. In all the frenetic viral cloning, there can be small errors in the copies of genetic code. And as virus particles move from person to person to person, the viral code can drift, accumulating new sets of mutations or picking up other variations.

By looking at the genetic sequences of many SARS-CoV-2 viruses and identifying the differences between them, geneticists can try to work out how they all relate to each other and how the virus is evolving overall. In doing so, researchers can also help understand the chains of transmission from person to person. For instance, if two patients are infected with viral strains that have very different sets of mutations, it’s unlikely one of them infected the other. If the viruses are nearly identical, it’s possible—though not certain—the infections are linked.

As for what those mutations might mean: sometimes they’re meaningless, sometimes they’re not. In the worst cases, they could allow a virus to cause more severe disease, for instance, or make it better at spreading between people.

So far, there’s no firm evidence that SARS-CoV-2 is picking up scary mutations. In fact, SARS-CoV-2 doesn’t seem to be evolving much at all. The scores of genetic sequences researchers have been gathering show that SARS-CoV-2 has a relatively slow rate of evolution.

That may be good news for humanity in general, but it is definitely bad news for making sense of phylogenetic data. The slow evolution means that many of the viruses look very similar to each other, making it hard to untangle how exactly they’re related. That’s what led researchers to suspect that the February cases of COVID-19 in Washington state were linked to the first case in January.

In the new analysis—led by Michael Worobey, an expert in the evolution of pathogens at the University of Arizona—researchers took a close look at the genetic data that has accumulated since the end of February. They note that, although the SARS-CoV-2 from the first Washington case, dubbed WA1, is very similar to the other SARS-CoV-2 viruses found in the state, they differ by two nucleotides—represented by letters in their genetic code.

“[D]espite hundreds of genomes sequenced in Washington state, no viruses with genomes identical to WA1 or transitional between it and the outbreak clade (i.e. having a C at position 17747 or an A at position 17858, like WA1) had been sampled there,” the authors wrote.

To take things further, Worobey and colleagues set up simulations with the latest estimate for SARS-CoV-2’s evolutionary rate—the rate at which it picks up such changes. In all their simulations seeded with WA1, none resulted in viral strains with the genetic changes similar to what was seen in the real outbreak viruses. Other modeling, however, strongly supported the possibility that additional introductions of SARS-CoV-2 in Washington from China led to the outbreak in February. They estimated that another case arrived in the state on February 13, with a possible range of February 7 to February 19.

Viral threads

Though the analysis still needs thorough peer review, other researchers seemed to accept the general conclusion that additional introductions of SARS-CoV-2 likely led to Washington’s outbreak—not the initial case in January.

That includes Trevor Bedford, the researcher who first hypothesized that WA1 was the source of the February outbreak in the state. Bedford, an expert in viral evolution at the Fred Hutchinson Cancer Research Center in Seattle, conceded on Twitter that his hypothesis has not held up.

“At this point, I don’t think we can exclude a WA1 introduction as an impossibility,” he wrote in a long thread on the topic. “[B]ut I think the most likely scenario is a separate undetected introduction by a genetically identical virus or a virus possessing the additional 17858G mutation.”

Bedford went on to say that he still estimates that there was a large, undetected outbreak at the time outbreak cases surfaced in late February. “Thus, I believe I was wrong in the original assessment of a WA1 introduction, but correct in asserting significant community spread in Washington State on Feb 29,” he wrote. “I’m sorry to have created confusion here. Although I do think that my original actions were warranted given available evidence at the time.”

William Hanage, an epidemiologist and expert of pathogen evolution at Harvard, also agreed with the general takeaway of the analysis by Worobey and colleagues. “It is now pretty clear that there were more introductions” in Washington, he wrote in a Twitter thread responding to Bedford’s comments.

Hanage and colleagues made a cautionary comment on just this issue in Nature Microbiology on May 19, before Worobey’s analysis appeared online. Hanage and his colleagues wrote:

Most viruses can be separated into strains and, if two infections are caused by dissimilar strains, one can rule out transmission. The often-forgotten point is that phylogenies can rule out transmission, but if infections are caused by the same strains or identical viruses it does not definitively prove transmission. During an emerging outbreak when pathogens have not yet diverged into different strains, phylogenetic information is too weak to hypothesize transmission linkage…

Though the link between WA1 and Washington’s subsequent outbreak may be flimsy, there may be a silver lining in all of this—that Washington state officials acted while thinking it might have a massive, hidden outbreak. As Worobey and co-authors note, Washington was “among the first in the US to initiate restrictions on social distancing and size of gatherings.”

“One irony,” they wrote, was that said action was “founded at least in part on an assumption about the timing of community transmission not supported by the phylogenetic data (i.e. the belief that cryptic transmission had been ongoing since mid-January). This action may have closed the gap between the onset of sustained community transmission and mitigation measures in Washington state, compared to other locales like New York City, in ways that deserve careful reevaluation.”

On March 22, when New York issued a stay-at-home order, the state was seeing over 17 newly confirmed cases a day per 100,000 people, according to IHME data. In April, that number hit as high as 52 new cases a day per 100,000.

On March 23, when Washington issued its stay-at-home order, the state was seeing about three new cases a day per 100,000—and the figure has not reached above eight amid aggressive testing.

Read More

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Flawed Models Are Why COVID-19 Policies Need To Think About Total Death https://virusreports.net/flawed-models-are-why-covid-19-policies-need-to-think-about-total-death/ https://virusreports.net/flawed-models-are-why-covid-19-policies-need-to-think-about-total-death/#respond Sat, 25 Apr 2020 06:21:01 +0000 https://virusreports.net/flawed-models-are-why-covid-19-policies-need-to-think-about-total-death/ Policymakers need to scrutinize their epidemiological models. In response to the coronavirus pandemic, the federal government has been heavily influenced by the Institute of Health Metrics and Evaluation’s computer model, which has projected from 60,000 to 240,000 COVID-19 deaths in the U.S.  This epidemiological model is now being criticized as flawed and misleading as a…

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Policymakers need to scrutinize their.
epidemiological designs.

In reaction to the coronavirus pandemic, the federal government has been heavily influenced by the Institute of Health Metrics and Examination’s computer system design, which has forecasted from 60,000 to 240,000 COVID-19 deaths in the U.S.

This epidemiological model is now being criticized as flawed and deceptive as a source of public information and for federal government decision-making. The institute’s model, all other COVID-19 models are grounded in essential presumptions about which there is currently little knowledge.

>>> When can America resume?

Techniques.
besides designs are needed to properly understand this pandemic.

One method that has actually not been checked out in any detail is the evaluation of deaths from all causes in addition to deaths from COVID-19, the illness triggered by the new coronavirus.

Two major databases that track COVID-19 cases and deaths in the U.S., but not overall mortality, are WorldOMeters and the Johns Hopkins University Center. These trackers show significant variation in COVID-19 death danger.

For example, since April 22, WorldOMeters showed 47,681 COVID-19 deaths in the U.S. (50 states and the District of Columbia) with a rate of 144 deaths per 1 million people.

However, keep in mind that 71%of the deaths have actually occurred in 6 high-risk states (New york city, New Jersey, Connecticut, Massachusetts, Louisiana, and Michigan) with 17%of U.S. citizens and a death rate of 624 per million.

10.
percent have actually taken place in 5 medium-risk states (Rhode Island, Pennsylvania,.
Illinois, Maryland, and Indiana) and the District of Columbia with 12%of U.S.
locals and a death rate of 124 per million, and 19%have actually occurred in the.
staying 39 low-risk states with 71%of U.S. residents and a death rate of40
per million.

It stays to be identified, however, whether these COVID-19 deaths have in fact increased the total U.S. deaths this year. The best information on both COVID-19 deaths and total deaths in the U.S. originate from the Centers for Disease Control and Avoidance’s National Center for Health Data.

During the five weeks ending Feb. 1 through Feb. 29, the Centers for Illness Control and Prevention reported 282,084 total deaths, which were 96%of the anticipated deaths based upon concurrent 2017-2019 deaths. During the 5 weeks ending March 7 to April 4, the CDC reported 273,798 overall deaths, which were 96%of the anticipated deaths.

Of.
the 9,474 COVID-19 deaths reported throughout these 10 weeks, 78.5%were among.
individuals over age 65, 21.4%were between the ages of 25 and 64, and just 0.1%were.
ages newborn to 24 years.

Those death counts through completion of March are preliminary, but they do not show that the total number of deaths in 2020 is higher than the similar variety of deaths throughout each of the three previous years.

Once.
the variety of COVID-19 deaths and overall deaths throughout the entire month of April.
are known, it will be clear whether there has been a boost in the total.
number of U.S. deaths this year.

One factor there might not be an increase in total deaths is because some deaths are being categorized as COVID-19 deaths even when COVID-19 is not the underlying cause.

Usually, mortality statistics are put together in accordance with World Health Company policies specifying that each death be assigned an underlying cause based on the present 10 th modification of the International Statistical Category of Diseases (ICD-10).

Nevertheless, the Centers for Illness Control and Avoidance reports that COVID-19 deaths are being coded to ICD-10 code U071 when COVID-19 is reported as a cause that “contributed to” death on the death certificate, but is not necessarily the “hidden cause.” Also, some of those deaths do not have lab verification of COVID-19 infection.

Therefore, it’s possible that the concentrate on COVID-19 deaths has resulted in a lower number of deaths from seasonal flu, pneumonia, and other causes, compared to the number that would normally occur this year.

The CDC has actually mentioned that the variety of flu hospitalizations estimated for this season is lower than total hospitalization price quotes for any season given that the CDC began making these estimates.

Furthermore, it’s possible that the lethality of COVID-19 is no higher than that of the seasonal flu.

A new Stanford University survey suggests that the population prevalence of COVID-19 in Santa Clara County, California, ranges from 2.5%to 4.2%which the variety of contaminated individuals is 50 to 85 times the number of confirmed COVID-19 cases.

This initial finding suggests that at most 0.1%of contaminated individuals will pass away from COVID-19, similar to the seasonal influenza death rate. Several other new research studies indicate likewise lower casualty rates for COVID-19

Americans.
require clarity. The federal government action to the coronavirus pandemic.
ought to not be based upon problematic designs, however rather on a localized public health.
technique that concentrates on the high-risk locations of the United States and also on.
the high-risk elderly and those with comorbid conditions.

The.
focus ought to be on modifications in individual behavior, such as staying at home for.
work or school if ill, covering coughs or sneezes, hand-washing, and avoiding.
those with respiratory symptoms.

Above all, the pandemic and COVID-19 deaths must be put in proper perspective, given the unmatched social and financial disruption of the existing nationwide lockdown.

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