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OUT OF MIND » POISON PLANET » CORONA VIRUS UPDATES - NCoV10 - COVID-19 » COVID19 UPDATES - US Breaks Cruise Ship Quarantine plus MORE

COVID19 UPDATES - US Breaks Cruise Ship Quarantine plus MORE

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PurpleSkyz

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COVID19 UPDATES - US Breaks Cruise Ship Quarantine plus MORE Coronavirus-need-to-know-faq

US Breaks Cruise Ship Quarantine, Flies 13 Infected Americans To Omaha Facility
Date: February 18, 2020 Author: Nwo Report  

While China does everything in its power do demonstrate that the number of new cases in both Hubei province where the coronavirus epicenter of Wuhan is located, and across China, is declining with every passing day in a sign that the epidemic is being ringfenced and is gradually coming under control – whether people on the ground actually believe the government which for at least the first three weeks of the breakout was lying and arresting anyone who spread facts about the deadly disease is a different matter entirely and will manifest itself in how quickly China can return to normal – attention has gradually moved to the spread of the virus offshore, where the number of new cases is starting to turn exponential.
As the chart below shows, after growing at a modest pace, the number of people infected outside of the mainland is now accelerating at an alarming pace.
COVID19 UPDATES - US Breaks Cruise Ship Quarantine plus MORE Infections%20offshore

But one rather stunning fact when analyzing the offshore progression of the disease, is that there are now more cumulative coronavirus cases on just one cruise ship – the infamous Diamond Princess which has been quarantined in Japan for the past two weeks – then there are in all other localities outside of China (which begs the question just how many people are infected around the globe and have so far avoided detection).
[url=https://www.zerohedge.com/s3/files/inline-images/coronavirus outside]COVID19 UPDATES - US Breaks Cruise Ship Quarantine plus MORE Coronavirus%20outside%20china [/url]

As a reminder, the Princess Cruises ship was carrying 2,666 guests and 1,045 crew when it set sail and was quarantined after 10 cases of coronavirus were reported Feb. 4. Since then the number of cases on board has exploded, and on Monday alone, Japan announced an additional 99 infections on the Diamond Princess, raising the ship’s total number of cases to 454. And since most of the people on the ship have yet to be tested, the real number of infections may not be known for days.
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Where things gets problematic, is that whereas until now most of those on board the cruise ship had remained in isolation, the self-imposed quarantine is now over, and on Sunday, fourteen evacuees from the Diamond Princess were allowed to fly back to the United States Sunday despite testing positive for coronavirus, the U.S. State Department and Health and Human Services said in a joint statement. Why were they released? Because supposedly they were not symptomatic, and in a very ominous twist, they had tested negative initially!
“These individuals were moved in the most expeditious and safe manner to a specialized containment area on the evacuation aircraft to isolate them in accordance with standard protocols,” the statement, published Sunday, read.
The State Department was unaware the individuals had coronavirus when they were being removed from the ship; they had tested negative just a few days before, Robert Kadlec, the assistant secretary for preparedness and response at the U.S. Department of Health & Human Services, said on a phone call with reporters.
“If those results had come back four hours earlier before we’d started to disembark the ship and before these people were evacuees within an evacuation system, then it would’ve been a different discussion.” Dr. William Walters, director of operational medicine at the U.S. Department of State, said on the call.
In other words, the quarantine that had isolated the biggest incubator of coronavirus cases outside of Wuhan was broken simply because an initial test had given a false negative, and subsequents test confirmed that at least 14 indeed had the coronavirus.
Kadlec said that individuals received multiple screenings when moving from ship to bus to plane and a more extensive medical assessment upon arrival.
In any case, the Diamond Princess quarantine is now broken, and two charter flights carrying at least 14 infected passengers landed at military bases in California and Texas overnight, starting the clock on a 14-day quarantine period to ensure those passengers don’t have coronavirus. In total, approximately 380 Americans were on board the Diamond Princess ship for the duration of the cruise and quarantine at sea.
One plane carrying American passengers touched down at Travis Air Force Base in northern California just before 11:30 p.m. Sunday local time. A second flight arrived at Lackland Air Force Base in Texas around 2½ hours later, early Monday.
The California flight had 177 people on it, seven of whom tested positive for coronavirus, Walters said. An additional three people were isolated during the flight for fever. Upon arrival, 171 stayed in Travis while six traveled to Omaha.
The Texas flight had 151 people board and included the other seven who tested positive for coronavirus. Two additional passengers were isolated on account of fever. All passengers who tested positive for coronavirus then moved on to Omaha.
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How did all those Americans who were flying alongside the infected feel? Well, according to USA Today, “the aircraft design allowed passengers to sit in isolation thanks to a plastic divider at the tail of the aircraft.”  We can only hope that “plastic divider” was enough to keep the virus confined to its own class aboard the aircraft.
* * *
Anyway, now that hundreds of passengers were locked up in that ship for almost two weeks for nothing with the US rushing to break quarantine without waiting to verify the initial “all clear” test, officials from the University of Nebraska Medical Center and Nebraska Medicine confirmed that they are assessing 13 adults at their quarantine and biocontainment facility in Omaha .
“Late last night at about 2 or 3 a.m., we were asked to bring some individuals here who had either tested positive or had a high likelihood of testing positive because of symptoms they were exhibiting,” said Dr. Chris Kratochvil, the executive director at the University of Nebraska Medical Center’s Global Center for Health Security.
COVID19 UPDATES - US Breaks Cruise Ship Quarantine plus MORE Unebraska%20medical%20center



The Nebraska Medical Center’s Global Center for Health Security
Twelve of them are housed in the quarantine center while one man was transferred to the hospital’s biocontainment unit for testing and observation because of symptoms including cough, fever, shortness of breath, lightheadedness and an undisclosed chronic condition that would make him particularly vulnerable to the COVID-19 virus, the USA Today reported.
“He is doing good and in stable condition at this time,” reported Shelly Schwedhelm, Nebraska Medicine’s executive director of emergency management and biopreparedness. She went on to note that “the folks in the quarantine center have all been tested, and we’re waiting for those results.” She added that the other 12 are isolated in “very nice rooms with WiFi, TV and a small refrigerator – a lot of the amenities at hotels but with engineering controls” to prevent contaminated air from escaping.
COVID19 UPDATES - US Breaks Cruise Ship Quarantine plus MORE NBTC



Inside the Nebraska Medical Center’s Global Center for Health Security
Their test results, which are due back any moment (Monday afternoon), will determine whether the patients will be allowed to see their spouses or leave their rooms. Regardless of whether they test positive or negative, all of the new arrivals will spend at least 14 days in the facility, and any who test positive will likely stay longer, said Dr. Mike Wadman, the co-medical director of the National Quarantine Unit without a trace of irony.
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Kratochvil says it’s possible that they may be asked to take more patients should more of the Diamond Princess passengers now in quarantine at the airbases test positive.
Dr. Anthony Fauci, director of the National Institute of Allergy and Infectious Diseases at the National Institutes of Health, told the USA TODAY editorial board and reporters Monday that the original idea to keep people safely quarantined on the ship wasn’t unreasonable. Yet where the entire story falls on its face is that even with the quarantine process on the ship, virus transmission still occurred. One can only hope that there are proper precaution pathways in place to prevent transmission now that at least 13 infected cruise passengers are now on US soil.
“The quarantine process failed,” Fauci said. “I’d like to sugarcoat it and try to be diplomatic about it, but it failed. People were getting infected on that ship. Something went awry in the process of the quarantining on that ship. I don’t know what it was, but a lot of people got infected on that ship.”
What might have gotten awry is that the virus is airborne and spread via the air conditioning system. But before we get banned from another social network, we will wait for someone “more credible” to make that claim.
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https://nworeport.me/2020/02/18/us-breaks-cruise-ship-quarantine-flies-13-infected-americans-to-omaha-facility/


Thanks to: https://nworeport.me



  

PurpleSkyz

PurpleSkyz
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PurpleSkyz

PurpleSkyz
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Los Alamos Experts Warn Covid-19 “Almost Certainly Cannot Be Contained”, Project Up To 4.4 Million Dead
Date: February 18, 2020 Author: Nwo Report  
Authored by Sharon Begley via StatNews.com,

At least 550,000 cases. Maybe 4.4 million. Or something in between.
COVID19 UPDATES - US Breaks Cruise Ship Quarantine plus MORE STAT_China_Wuhan_COVID-19_coronavirus_49530315718_f467f93628_3k-768x432
Like weather forecasters, researchers who use mathematical equations to project how bad a disease outbreak might become are used to uncertainties and incomplete data, and Covid-19 , the disease caused by the new-to-humans coronavirus that began circulating in Wuhan, China, late last year, has those everywhere you look. That can make the mathematical models of outbreaks, with their wide range of forecasts, seem like guesswork gussied up with differential equations; the eightfold difference in projected Covid-19 cases in Wuhan, calculated  by a team from the U.S. and Canada, isn’t unusual for the early weeks of an outbreak of a never-before-seen illness.
But infectious-disease models have been approximating reality better and better in recent years, thanks to a better understanding of everything from how germs behave to how much time people spend on buses.
“Year by year there have been improvements in forecasting models and the way they are combined to provide forecasts,” said physicist Alessandro Vespignani of Northeastern University, a leading infectious-disease modeler.
That’s not to say there’s not room for improvement. The key variables of most models are mostly the same ones epidemiologists have used for decades to predict the course of outbreaks. But with greater computer power now at their disposal, modelers are incorporating more fine-grained data to better reflect the reality of how people live their lives and interact in the modern world — from commuting to work to jetting around the world. These more detailed models can take weeks to spit out their conclusions, but they can better inform public health officials on the likely impact of disease-control measures.
Models are not intended to be scare machines, projecting worst-case possibilities. (Modelers prefer “project” to “predict,” to indicate that the outcomes they describe are predicated on numerous assumptions.) The idea is to calculate numerous what-ifs: What if schools and workplaces closed? What if public transit stopped? What if there were a 90% effective vaccine and half the population received it in a month?
“Our overarching goal is to minimize the spread and burden of infectious disease,” said Sara Del Valle, an applied mathematician and disease modeler at Los Alamos National Laboratory. By calculating the effects of countermeasures such as social isolation, travel bans, vaccination, and using face masks, modelers can “understand what’s going on and inform policymakers,” she said.
For instance, although many face masks are too porous to keep viral particles out (or in), their message of possible contagion here! “keeps people away from you” and reduces disease spread, Del Valle said. “I’m a fan of face masks.”

The clearest sign of the progress in modeling comes from flu forecasts in the U.S. Every year, about two dozen labs try to model  the flu season, and have been coming ever closer to accurately forecasting its timing, peak, and short-term intensity. The U.S. Centers for Disease Control and Prevention determines which model did the best; for 2018-2019, it was one  from Los Alamos.
Los Alamos also nailed the course of the 2003 outbreak of SARS in Toronto, including  when it would peak. “And it was spot on in the number of people who would be infected,” said Del Valle: just under 400  in that city, of a global total of about 8,000.
The Covid-19 outbreak in China is quickly spreading worldwide, sparking quick calculations on how deadly this new disease is. One measure is called a case fatality rate. While the formula is simple, it’s difficult to get a precise answer.HYACINTH EMPINADO/STAT
The computers that run disease models grind through calculations that reflect researchers’ best estimates of factors that two Scottish researchers identified  a century ago as shaping the course of an outbreak: how many people are susceptible, how many are infectious, and how many are recovered (or dead) and presumably immune.
That sounds simple, but errors in any of those estimates can send a model wildly off course. In the autumn of 2014, modelers at CDC projected  that the Ebola outbreak in West Africa could reach 550,000 to 1.4 million cases in Liberia and Sierra Leone by late January if nothing changed. As it happened, heroic efforts to isolate patients, trace contacts, and stop unsafe burial practices kept the number of cases  to 28,600 (and 11,325 deaths).
To calculate how people move from “susceptible” to “infectious” to “recovered,” modelers write equations that include such factors as the number of secondary infections each infected person typically causes and how long it takes from when one person gets sick to when the people she infects does. “These two numbers define the growth rate of an epidemic,” Vespignani said.
The first number is called the basic reproduction number. Written R0 (“R naught”), it varies by virus; a strain that spreads more easily through the air, as by aerosols rather than heavier droplets released when an infected person sneezes or coughs, has a higher R0. It has been a central focus of infectious disease experts in the current outbreak because a value above 1 portends sustained transmission. When the R0 of Covid-19 was estimated several weeks ago to be above 2, social media exploded with “pandemic  is coming!” hysteria.
But while important, worshipping at the shrine of R0 “belies the complexity that two different pathogens can exhibit, even when they have the same R0,” the Canadian-U.S. team argues in a paper posted to the preprint site medRxiv. Said senior author Antoine Allard of Laval University in Quebec, “the relation between R0, the risk of an epidemic, and its potential size becomes less straightforward, and sometimes counterintuitive in more realistic models.”

To make models more realistic, he and his colleagues argue, they should abandon the simplistic assumption that everyone has the same likelihood of getting sick from Covid-19 after coming in contact with someone already infected. For SARS, for instance, that likelihood clearly varied.
“Bodies may react differently to an infection, which in turn can facilitate or inhibit the transmission of the pathogen to others,” Allard said.
“The behavioral component is also very important. Can you afford to stay at home a few days or do you go to work even if you are sick? How many people do you meet every day? Do you live alone? Do you commute by car or public transportation?”
When people’s chances of becoming infected vary, an outbreak is more likely to be eventually contained (by tracing contacts and isolating cases); it might reach a cumulative 550,000 cases in Wuhan, Allard and his colleagues concluded. If everyone has the same chance, as with flu (absent vaccination), the probability of containment is significantly lower and could reach 4.4 million there.
Or as the researchers warn, “the outbreak almost certainly cannot be contained and we must prepare for a pandemic ….”
Modelers are also incorporating the time between when one person becomes ill and someone she infects does. If every case infects two people and that takes two days, then the epidemic doubles every two days. If every case infects two people and they get sick four days after the first, then the epidemic doubles every four days.
This “serial time” is related to how quickly a virus multiplies, and it can have a big effect. For a study  published this month in Annals of Internal Medicine, researchers at the University of Toronto created an interactive tool  that instantly updates projections based on different values of R0 and serial interval.
Using an R0 of 2.3 and serial interval of seven days, they project 300,000 cases by next week. If the serial interval is even one day less, the number of cases blasts past 1.5 million by then. But if the countermeasures that China introduced in January, including isolating patients, encouraging people to wear face masks, and of course quarantining Wuhan, reduce the effective reproduction number, as has almost certainly happened, those astronomical numbers would plummet: to 100,000 and 350,000 cases, respectively.
Just as public health officials care how long someone can be infected without showing symptoms (so they know how long to monitor people), so do modelers. “When people are exposed but not infected, they tend to travel and can’t be detected,” Vespignani said. “The more realistic you want your model to be, the more you should incorporate” the exposed-but-not-ill population. This “E” has lately become a fourth category in disease models, joining susceptible, infectious, and recovered.
At Los Alamos, Del Valle and her colleagues are using alternatives to the century-old susceptible/infectious/recovered models in hopes of getting a more realistic picture of an outbreak’s likely course. A bedrock assumption of the traditional models is “homogeneous mixing,” Del Valle said, meaning everyone has an equal chance of encountering anyone. That isn’t what happens in the real world, where people are more likely to encounter others of similar income, education, age, and even religion (church pews can get crowded).
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https://nworeport.me/2020/02/18/los-alamos-experts-warn-covid-19-almost-certainly-cannot-be-contained-project-up-to-4-4-million-dead/

Thanks to: https://nworeport.me



  

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