Globally, the coronavirus outbreak now has hit millions of lives with thousands of deaths across the world. And the rising threat of this virus continues increasing as every day new cases are coming out. However, countries affected with coronavirus are now taking major steps to address it using Artificial Intelligence and big data technologies. According to the World Health Organization (WHO), Artificial intelligence and big data played a significant role in China’s response to COVID-19, the new name of coronavirus.
Taiwan leverages big data to stop the coronavirus spread. Due to its proximity to China, Taiwan could have been hit hard by the COVID-19. It is said that over 400,000 of its citizens work in mainland China. However, the country’s use of artificial intelligence and big data analytics with cell phone tracking assisted officials to control the spread of the virus, according to the Journal of the American Medical Association (JAMA). With in excess of 50,000 individuals going day by day through the railroad station where Fu works, there is huge strain to quickly and precisely distinguish the individuals who may have a fever – one of the primary side effects of the new coronavirus disease that has killed 2,870 individuals in territory China. The warm scanners – recently introduced at train stations in significant Chinese urban areas – are only one of the manners by which specialists are utilizing man-made brainpower (AI) and large information to battle the destructive infection, which has now arrived at 56 different nations since it was first recognized in focal China’s Hubei region in late December a year ago. Fu said so far there’s only been one instance where he’s had to inform health officials about a passenger, a woman from Henan whose fever stood at 37.9 degrees Celsius.
Shanghai is also leveraging big data to minimize further risk of the coronavirus spreading. Reportedly, workers in Shanghai report their temperature, travel history, and other information, which is then sent to a big data platform that authorities use to manage epidemic prevention. We should also note How technology can help to fight coronavirus. In a statement, Director of Data Department of Shanghai Municipal Public Security Bureau explained on how A.I. is aiding the coronavirus fight, Shen Yuxin said “We can see the personnel inflow and movement clearly and know where they stay in the city, especially those who come from the epicenters. So, it is possible for us to take targeted communities and districts to prevent the virus spreading.” Shanghai’s cross-department data platform integrates information collected from police, health authorities and other government departments. This will then be used to alert local community workers to take action if anything warrants it.
In 2014, the Centers for Disease Control (CDC) predicted up to 1.4 million cases infected from the Ebola outbreak. Then, it was said that what could big data do to help identify the earlier signs of future outbreaks? That time, Harvard’s HealthMap service made breaking headlines when they monitored early Ebola outbreak mentions nine days before the WHO officially announced the outbreak of the epidemic. They also issued their first alert. How Cutting edge technology can help to fight Coronavirus is something we need to look after. The Chinese government has seemingly set up the most extensive and advanced observation framework on the planet. Notwithstanding the genuine name framework – which expects individuals to utilize government provided ID cards to purchase portable sims, acquire internet based life accounts, take a train, load onto a plane, or even purchase food supplies – specialists likewise track individuals utilizing approximately 200 million surveillance cameras introduced across the country. A portion of these cameras are furnished with facial acknowledgment innovation, permitting specialists to follow criminal acts, including offenses as minor as jaywalking. There are reports specialists are utilizing this broad reconnaissance framework to keep tabs on individuals in the midst of the coronavirus episode. Ren, an eatery proprietor who works in Hubei, the territory at the focal point of the pestilence, said neighborhood police appeared at his home in western Sichuan area where he had returned for the Chinese New Year festivities on January 23 and requested him to isolate himself for 14 days. That was that day specialists put Hubei under a remarkable lockdown to forestall the spread of the infection. Reports suggest that HealthMap’s early warning came from using massive computing power to sift out early indicators from millions of social media posts and other media platforms.
But an article published on FP, “Why Big Data Missed the Early Warning Signs of Ebola”, mentioned that by the time HealthMap monitored its very first report, the Guinean government had already announced the outbreak and notified the WHO. Now, in the case of coronavirus outbreak, On December 30, 2019, a Toronto-based startup BlueDot that uses a platform built around AI, machine learning and big data to track and envisage the outbreak and spread of infectious diseases, alerted its private sector and government clients about a cluster of unusual pneumonia cases happening around a market in Wuhan, China.
In this case, some reports earlier claimed 27 pneumonia cases associated with a market that had seafood and live animals in Wuhan.
The cities BlueDot identified were highly connected to Wuhan using things like global airline ticketing data to help anticipate where the infected might be traveling. The international destinations that BlueDot anticipated would have the highest volume of travelers from Wuhan were: Bangkok, Hong Kong, Tokyo, Taipei, Phuket, Seoul, and Singapore, according to an article. In the end, 11 cities have topped the list of places where COVID-19 cases were first seen.
But looking at the infection rate graph, the 11 cities Blue Dot listed are near to flat on the bottom, and countries like South Korea, France, Germany and the US are climbing upwards. There are many cases in South Korea but the author asks why Japan, Taiwan, Singapore, Thailand or Hong Kong haven’t? and said all of them were hit by SARS in 2003, and all of them learned from it.
With the onset of technologies such as Artificial Intelligence and Big Data, we can claim that we have a long way to explore with regards to science.
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