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Exterminio de Plagas, Coronavirus: La pandemia del COVID-19

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Suelten la wea de virus entre los monos de África... Cómo no se ha reportado nada aún ahí wn :nonono:

Necesitamos 3 mil millones de weones menos en el planeta :hands:
según el evento 201, la simulación comenzaba en brasil, y terminaba con 65.000.000 de weones muertos, brasil tiene una población de 200.000.000 de habitantes (aprox).

y si se te ocurriera lanzar el virus en china con una población de 1.400.000.000 de habitantes, las victimas se multiplican por 7, osea estaríamos terminando la pandemia con 500.000.000 de weones menos en el planeta, no esta mal.

sigamos así. :clapclap:
 
epiléptico habrá sigo el hdp, cuándo alguien soportaría tantos grados.?
Y dudo q esa sea la reacción a una fiebre anormal
 
un adulto no soporta fiebre de 40 grados por más de dos dias sin fallecer. creo los niños pueden soportar fiebres de 40 grados.
 
Tolueno paranoico: si llegan chinos enfermos a chile, de seguro tienen contacto con algun dueño de mall chino. Entonces estos tienen puros empleados venecos en sus tiendas, y lo contagia, y como los venecos son buenos para andar con los mocos colgando y tosiendo y estornudando sin taparse el hocico, y viven amontonados y en comunidad, los cuales le pegan el bicho a los otros venecos que trabajan en el resto del comercio, restaurantes y oficinas....bueno, ya saben el desenlace...en dos semanas medio chile contagiado.
 
Última edición:
¿Como van las empresas tecnológicas y ligadas a la medicina con todo esto? :ear:

An AI Epidemiologist Sent the First Warnings of the Wuhan Virus
The BlueDot algorithm scours news reports and airline ticketing data to predict the spread of diseases like those linked to the flu outbreak in China.

Science_wuhanvirustracking_1195733907.jpg


On January 9, the World Health Organization notified the public of a flu-like outbreak in China: a cluster of pneumonia cases had been reported in Wuhan, possibly from vendors’ exposure to live animals at the Huanan Seafood Market. The US Centers for Disease Control and Prevention had gotten the word out a few days earlier, on January 6. But a Canadian health monitoring platform had beaten them both to the punch, sending word of the outbreak to its customers on December 31.

BlueDot uses an AI-driven algorithm that scours foreign-language news reports, animal and plant disease networks, and official proclamations to give its clients advance warning to avoid danger zones like Wuhan.

Speed matters during an outbreak, and tight-lipped Chinese officials do not have a good track record of sharing information about diseases, air pollution, or natural disasters. But public health officials at WHO and the CDC have to rely on these very same health officials for their own disease monitoring. So maybe an AI can get there faster. “We know that governments may not be relied upon to provide information in a timely fashion,” says Kamran Khan, BlueDot’s founder and CEO. “We can pick up news of possible outbreaks, little murmurs or forums or blogs of indications of some kind of unusual events going on.”








Khan says the algorithm doesn’t use social media postings because that data is too messy. But he does have one trick up his sleeve: access to global airline ticketing data that can help predict where and when infected residents are headed next. It correctly predicted that the virus would jump from Wuhan to Bangkok, Seoul, Taipei, and Tokyo in the days following its initial appearance.


Khan, who was working as a hospital infectious disease specialist in Toronto during the SARS epidemic of 2003, dreamt of finding a better way to track diseases. That virus started in provincial China and spread to Hong Kong and then to Toronto, where it killed 44 people. “There’s a bit of deja vu right now,” Khan says about the coronavirus outbreak today. “In 2003, I watched the virus overwhelm the city and cripple the hospital. There was an enormous amount of mental and physical fatigue, and I thought, ‘Let’s not do this again.’”

After testing out several predictive programs, Khan launched BlueDot in 2014 and raised $9.4 million in venture capital funding. The company now has 40 employees—physicians and programmers who devise the disease surveillance analytic program, which uses natural-language processing and machine learning techniques to sift through news reports in 65 languages, along with airline data and reports of animal disease outbreaks. “What we have done is use natural language processing and machine learning to train this engine to recognize whether this is an outbreak of anthrax in Mongolia versus a reunion of the heavy metal band Anthrax,” Kahn says.

Once the automated data-sifting is complete, human analysis takes over, Khan says. Epidemiologists check that the conclusions make sense from a scientific standpoint, and then a report is sent to government, business, and public health clients.

BlueDot’s reports are then sent to public health officials in a dozen countries (including the US and Canada), airlines, and frontline hospitals where infected patients might end up. BlueDot doesn’t sell their data to the general public, but they are working on it, Khan says.

The firm isn’t the first to look for an end-run around public health officials, but they are hoping to do better than Google Flu Trends, which was euthanized after underestimating the severity of the 2013 flu season by 140 percent. BlueDot successfully predicted the location of the Zika outbreak in South Florida in a publication in the British medical journal The Lancet.

Whether BlueDot proves as successful this time remains to be seen. But in the meantime, some public health experts say that despite covering up the SARS outbreak for months in 2002, Chinese officials have reacted faster this time.

“The outbreak is probably a lot bigger than one the public health officials have confirmation of,” says James Lawler, an infectious disease specialist at the University of Nebraska Medical Center, who treated quarantined Ebola patients in 2017 and 2018. “Just using a back-of-the-envelope calculation on how many travelers there are from China in a given week, and percentage than might have been affected, it’s a lot.”

An area containing eight cities and 35 million people have now been quarantined in China, The New York Times reported Friday, while The Wall Street Journal reports that hospitals in the epicenter of Wuhan are turning away patients and medical supplies such as masks and sanitizers have run out.

Lawler and others say that the coronavirus outbreak will continue to spread as travelers from China to other nations exhibit symptoms of infection. He says we still don’t know how many people will get sick, and how many of those will die before the outbreak recedes.

To stop the spread of disease, public health officials will need to tell the truth and tell it quickly. But in the meantime, it might be worth deputizing an AI-driven epidemiologist.
https://www.wired.com/story/ai-epidemiologist-wuhan-public-health-warnings/

Web de Bluedot: https://bluedot.global/
Hi XXXXX,

Thanks so much for getting in touch with BlueDot, I’m excited to tell you about what we do!

BlueDot has developed an early warning system for infectious disease outbreaks. I’d love to talk to you about Explorer, and how we’re using big data and AI to help governments conduct higher quality risk assessments in a lot less time.

Here’s what you can expect during a meeting with us here at BlueDot:
  • An introduction to BlueDot’s Explorer solution
  • Some questions from us about how you currently track infectious disease outbreaks
  • Some guidance on how you can talk to your colleagues about Explorer
  • If you’re interested, some next steps on booking a follow up discussion with you and your colleagues
Please send me a few time slots over the coming week or two that would work for you and your team, and we can set up a call. I’m looking forward to learning more about you and your organization’s surveillance needs.

Best regards,
John Shahidi
Manager, Business Growth, BlueDot
+1 646 701 4134

BlueDot, 801b, 207 Queens Quay W, Toronto, Ontario M5J 1A7, Canada
En 1 a 2 semanas ya tendremos esa respuesta aquí, pululando... no sirve de nada el servicio en la epidemia en curso, puro humo.
 
Vengo a colocar las cosas en contexto:

"La pandemia de gripe de 1918 (también conocida como la gran pandemia de gripe o la gripe española) fue una pandemia de gripe de inusitada gravedad. A diferencia de otras epidemias de gripe que afectan básicamente a niños y ancianos, muchas de sus víctimas fueron jóvenes y adultos saludables, y animales, entre ellos perros y gatos.12 Es considerada la pandemia más devastadora de la historia humana, ya que en solo un año mató entre 40 y 100 millones de personas.34567 Esta cifra de muertos, que incluía una alta mortalidad infantil, se considera uno de los ejemplos de crisis de mortalidad."

Asi que si van 1 millón de personas muertas recién me precuparé ctm.

Se imaginan el nivel de pánico que hubiera habido si en ese tiempo hubieran existido las redes sociales? Csmre, fijo que habría caos en todo el mundo.
 
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