Big Data coronavirus COVID-19

How to Fight Coronavirus with Big Data

How to Fight Coronavirus with Big Data
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The worldwide pandemic caused by coronavirus has affected millions of people and caused thousands of deaths across the globe.

As the virus continues to spread its arms causing new cases daily, most countries affected with this pandemic are also taking innovative steps to curb it by using improved technologies. Based on what the World Health Organization (WHO) stated, AI and big data are of great significance in reducing the COVID-19 pandemic.

However, one of the affected countries that have put extreme effort into controlling coronavirus by making use of big data in Taiwan. Nevertheless, based on the Journal of the American Medical Association, the country’s use of big data analytics and mobile phone tracking assisted the officials in managing the spread of the virus.

How is Big Data Tracking The Virus

Since coronavirus spread across China, Taiwan presumed that they would be significant due to its closeness to China, the frequent flights from the island to China daily, and also the number of Taiwanese citizens working in China. Nevertheless, Taiwan made use of technology and an intellectual pandemic plan developed after the outbreak of 2003 SARS to reduce the influence of the virus on its land.

One of their strategies integrated the national health insurance database with data from its immigration and customs database. By centralizing the data in this method, when affected with coronavirus, they were able to have real-time alerts concerning any infected person based on their travel history and symptoms they have.

And also, they have a QR code scanning and an online reporting of travel and medical symptoms that will assist them in identifying the traveler’s infection risks and a toll-free hotline for citizens to report distrustful symptoms. The instant action was taken by the officials immediately WHO broadcast information about pneumonia of an unknown cause in China on December 31, 2019, which was the first reported case of COVID-19.

However, the instant response and the use of technology in Taiwan are probably reasons why they have a little rate of infection than other countries regardless of their closeness to China.  

How is Big Data Tracking The Virus

Besides, after a reported case of coronavirus, on December 30, 2019, a Toronto-based startup BlueDot that make use of a platform created around AI, machine learning and big data to track and conceive the outbreak and spread of infectious diseases, immediately alarmed their private sector and government clients about a group of rare pneumonia cases occurring in the surroundings of a market in Wuhan, China.

Due to this, a few reports previously stated that about 27 pneumonia cases in association with a market where lots of seafood and live animals are sold in Wuhan. And the cities BlueDot discovered were accurate that were highly associated with Wuhan using things such as global airline ticketing data to assist in expect where the infected might be visiting. The international destinations that BlueDot expected would have the most significant number of travelers from Wuhan are Bangkok, Hong Kong, Tokyo, Taipei, Phuket, Seoul, and Singapore.

By examining the rate of infection graph, the 11 cities that were initially infected by the coronavirus, that the Blue Dot listed are close to flat on the bottom, and the countries at the top of profoundly affected countries in the world currently are: South Korea, France, Germany, and the US. There are lots of COVID-19 cases in South Korea, but the main reason why countries like Japan, Taiwan, Singapore, Thailand, or Hong Kong are not affected is that they learned from the SARS experience in 2003.

Currently, technology is essential in the fighting, controlling, and overcoming the coronavirus and other future pandemics. And also, having the ability to support modeling struggles and foretell the movement of any epidemic, big data, machine learning, and other technology can entirely and effectively analyze data to assist humans in advance to discover the best preparation and response to this current and future pandemics within a short time.

Conclusion

So, it is no doubt that AI, big data, and other data-driven technologies in the present crucial time can enhance our understanding of the disease, widen access to health care, and assist us in being connected. Still, security professionals have time and again stressed that the force to harness data for good should not be a license to conduct dangerous experiments that offers privacy and civil freedom.

One main thing that one should never forget even after the end of the pandemic is the influence of AI and Bigdata. Nevertheless, one will not deny that with careful attention, technologies like AI, big data, and machine learning can efficiently analyze data within a short time, foretelling the movement of a pandemic and assist humans in discovering the best response to overpower the present coronavirus and future pandemics.

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