Artificial intelligence predicted the outbreak of a novel coronavirus in China
Source:Despite New year celebrations on the lunar calendar, the streets of major cities in China were empty because of the epidemic.
January 9, the world health organization notified the public about the outbreak of coronavirus in China. On condition on January 27 the official number of infected people is at least 2 700 people, and the expense of the victims is estimated in tens. However, the CDC, the centers for control and disease prevention in the United States, released information about the outbreak threat a few days earlier, on 6 January. Even more surprising is the message about the outbreak of coronavirus canadian platform for health monitoring 31 December 2019. But how do they do it?
How is Artificial intelligence predicts the epidemic?
We often talk about the fact that scientists around the world concerned about the growing threat of the epidemic of one or another infection. Climate change makes the planet warmer, and that allows insects such as mosquitoes — which are carriers of malaria and fever zika — to move to new regions where it used to be much colder. However, mosquitoes are not the only threat. Recently, scientists found a whole bunch that were locked in ice for 15 thousand years. And meat consumption, in turn, increases the number of animals on farms, which allows the virus to constantly mutate.
For this reason, today scientists use algorithm BlueDot driven , which looks at news on diseases of animals and plants in foreign languages, and the official statement to warn the public not to visit dangerous areas, such as Wuhan. In the case of coronavirus important experience 2003 — during the outbreak of SARS when the Chinese government for a long time concealed information about the epidemic. And responsiveness during outbreaks of infectious diseases is extremely important.
an Example of how the algorithm keeps track of information about disease outbreaks
According to the newspaper , BlueDot was launched in 2014 and has attracted venture funding in the amount of $ 9.4 million. Currently the company employs 40 staff — doctors and programmers who are developing an analytical program for disease surveillance, which uses methods of natural language processing and machine learning that allows you to view news in 65 languages, and with the airlines and reports of outbreaks of animal diseases. clarify that does not take into account the publication in social networks, as these data are too erratic.
After an automated data selection is completed, the findings of the algorithm check epidemiologists. A report is then sent to the officials of public health in dozens of countries (including USA and Canada), airlines and hospitals, where they can be . So, in the case of distribution algorithm BlueDot was able to correctly predict that the coronavirus from Wuhan will appear first in Bangkok, then Seoul, Taipei and Tokyo. Moreover, in the past, the algorithm successfully predicted the outbreak of zika virus in South Florida.
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