Evaluating Patients for Possible Ebola Virus Disease: Recommendations for Healthcare Personnel and Health Officials
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CDC Ebola algorithm:
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sleep well:D -
Let's hope it never incubates alongside its cousin H5N1 and discovers an altogether different highway... What's the morbidity of the present outbreak?
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I know we're being told that ebola is only transmitted through direct contact with body fluids and not as an airborne transmission, but the research seems to suggest otherwise. It might explain why the current outbreak has developed so quickly.......
Let's hope it's just a series of unfortunate errors
http://www.nature.com/srep/2012/121115/srep00811/full/srep00811.html
http://www.bbc.co.uk/news/science-environment-20341423 -
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Pretty harrowing documentary about the current outbreak.
Last edited by a moderator: Sep 22, 2016 -
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I see the conspiracy loons are now coming out in force:
West African Ebola Outbreak is a Hoax -
only in America:
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Ebola virus epidemic in West Africa
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2014 Ebola virus disease epidemic timeline
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Ebola virus outbreak in the United States
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Prevention:
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More conspiracy nutters:
Ebola Patients & Exposed Persons to be Sent to Death Camps According to HHS Documents -
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This is for your benefit, Mr Payne! http://homeopathyplus.com.au/formal...guinea-sierra-leone-liberia-homeopathy-ebola/
Maybe we should send Rhubarb, no doubt his insoles will cure Ebola.... -
The Playboy model and reknown medical expert is at it again:
Jenny McCarthy: ‘Lemon Juice Cures Ebola’ (satire) -
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stooooooopid
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Received this email alert for Viruses, from one of my favourite publishers of Open Access Journals MDPI (whose impact factor increased by 30% this year)...
Given the current dramatic evolution of the Ebola virus disease outbreak in West Africa, Viruses Editorial Board member and editor Dr. Jens H. Kuhn (NIH/NIAID/IRF-Frederick) has kindly compiled a list of resources related to the Ebola virus and other filoviruses that were published in the journal Viruses.
http://blog.mdpi.com/2014/09/24/resources-on-ebola-virus/ -
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CDC issues guidance/explanation in transmission.
http://www.cdc.gov/vhf/ebola/pdf/infections-spread-by-air-or-droplets.pdfAttached Files:
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NEJM comes out quite strong against quarantine:
http://www.nejm.org/doi/full/10.1056/NEJMe1413139 -
Craig Payne
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Follow me on Twitter | Run Junkie Blog | Online Clinical Biomechanics Boot Camp | Its a Foot Captian, But Not as We Know It
God put me on this earth to accomplish a certain number of things - right now I am so far behind, I will never die. -
I have made an offer to send this MP to go to West Africa and take a homeopath with him to fix the ebola problem:
Fight Ebola with homeopathy - MP
Will wait to see if he replies to me!Craig Payne
_____________________________________________________________________________________
Follow me on Twitter | Run Junkie Blog | Online Clinical Biomechanics Boot Camp | Its a Foot Captian, But Not as We Know It
God put me on this earth to accomplish a certain number of things - right now I am so far behind, I will never die. -
Craig Payne
_____________________________________________________________________________________
Follow me on Twitter | Run Junkie Blog | Online Clinical Biomechanics Boot Camp | Its a Foot Captian, But Not as We Know It
God put me on this earth to accomplish a certain number of things - right now I am so far behind, I will never die. -
Craig Payne said: ↑I have made an offer to send this MP to go to West Africa and take a homeopath with him to fix the ebola problem:
Fight Ebola with homeopathy - MP
Will wait to see if he replies to me!Click to expand...
MP demoted after suggesting homeopathy use in Ebola fightCraig Payne
_____________________________________________________________________________________
Follow me on Twitter | Run Junkie Blog | Online Clinical Biomechanics Boot Camp | Its a Foot Captian, But Not as We Know It
God put me on this earth to accomplish a certain number of things - right now I am so far behind, I will never die. -
Press Release:
How important is long-distance travel in the spread of epidemics?
BERKELEY — Three scenarios depicting the simulated spread of a simple epidemic from a single point outbreak. Long-range jumps — mimicking air travel, for example — lead to sub-outbreaks. If long-distance jumps are rare, the main outbreak will quickly merge with the satellite outbreaks, leading to a rippling, wave-like growth (left). As the likelihood of long-distance jumps increases, the epidemic spread exhibits a super-linear power-law growth (center) or a stretched exponential or “metastatic” growth. (Simulations by Oskar Hallatschek, UC Berkeley, and Daniel Fisher, Stanford. Video editing by Christian Collins.)
Yet knowing how to predict the spread of these epidemics is still uncertain, because the complicated models used are not fully understood, says a UC Berkeley biophysicist.
Using a very simple model of disease spread, Oskar Hallatschek, assistant professor of physics, proved that one common assumption is actually wrong. Most models have taken for granted that if disease vectors, such as humans, have any chance of “jumping” outside the initial outbreak area – by plane or train, for example – the outbreak quickly metastasizes into an epidemic.
Hallatschek and co-author Daniel Fisher of Stanford University found instead that if the chance of long-distance dispersal is low enough, the disease spreads quite slowly, like a wave rippling out from the initial outbreak. This type of spread was common centuries ago when humans rarely traveled. The Black Death spread through 14th-century Europe as a wave, for example.
But if the chance of jumping is above a threshold level – which is often the situation today with frequent air travel –the diseases can generate enough satellite outbreaks to spread like wildfire. And the greater the chance that people can hop around the globe, the faster the spread.
“With our simple model, we clearly show that one of the key factors that controls the spread of infection is how common long-range jumps are in the dispersal of a disease,” said Hallatschek, who is the William H. McAdams Chair in physics and a member of the UC Berkeley arm of the California Institute for Quantitative Biosciences (QB3). “And what matters most are the rare cases of extremely long jumps, the individuals who take plane trips to distant places and potentially spread the disease.”
This new understanding of a simple computer model of disease spread will help epidemiologists understand the more complex models now used to predict the spread of epidemics, he said, but also help scientists understand the spread of cancer metastases, genetic mutations in animal or human populations, invasive species, wildfires and even rumors.
Hallatschek typically studies in a Petri dish how new mutations spread in colonies of microbes, activity that he models mathematically to understand how evolution fixes new traits in a population. When looking at simple theories of such “epidemic” spread, however, he was surprised to discover that no one knew the answer to a simple question: How does the long-distance dispersal of individuals during an outbreak affect the spread?
When long-distance travel is rare, epidemics spread like a slow, rippling wave, as demonstrated by the simulation (left) and the actual historical spread of the black death during the Middle Ages. (Images courtesy of Oskar Hallatschek and D. Sherman and J. Salisbury)
Simulations show that if the chance of individuals traveling away from the center of an outbreak drops off exponentially with distance – for example, if the chance of distant travel drops by half every 10 miles – the disease spreads as a relatively slow wave.
Simulations also suggested that a slower “power-law” drop off – for example, if the chance of distant travel drops by half every time the distance is doubled – would let the disease get quickly out of control.”
“We were shocked to see that this had not been demonstrated, and saw a chance to prove something really fundamental,” Hallatschek said.
The simple model he used was stripped of real-world complexity, but contained the crucial ingredients needed to predict evolutionary spread and, more importantly, could be captured by a mathematical formula. Hallatschek discovered three types of epidemic situations involving power-law distributions.
In cases where long-range jumps are very rare, epidemics spread in a slow wave, typified by the Black Death. The invasive cane toad also spread in a slow wave after being introduced to Australia in the 1930s. When long-range jumps are common, the disease spreads very rapidly, as in 2002-2003 with SARS (severe acute respiratory syndrome), which was spread around the world by air travelers. An intermediate situation produces satellite outbreaks, but spreads far more slowly than SARS-like cases.
Hallatschek said that previous studies failed to take into account the randomness of jumps, which led people to think that any long-range jump would lead to new outbreaks and rapid spread. But if long-range jumps are extremely rare, distant outbreaks tend to be overtaken by the slow, wavelike spread of the initial outbreak before they can contribute much to the overall epidemic.
He noted that two recent studies of human dispersal – the “Where’s George?” dollar bill tracking study and a 2008 cellphone-user mobility study – suggest that in the real world, humans disperse according to a power-law distribution over distances of up to hundreds of kilometers and exponentially over even longer distances.
In the future, he plans to make his model more and more realistic, first by incorporating networks to mimic the real world where people do not jump randomly, but must travel through airport hubs or train stations. Hallatschek also hopes to test his model by using data on the evolving genome sequences of pathogens as they spread, which provide one measure of where and when satellite outbreaks occur.
The work was supported by the Simons Foundation and QB3, as well as grants from Germany’s Deutsche Forschungsgemeinschaft and the U.S. National Science Foundation.Click to expand...
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