Can Big Data help contain the coronavirus pandemic?

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Big Data has been used in some Asian countries to contain the coronavirus pandemic. How?
During the global coronavirus crisis, Big Data has been one of the most widely used tools to mitigate the effects of the pandemic. China used it to identify infected patients in real time and contain the spread of COVID-19, although the case of the Asian giant presents controversial nuances due to issues of surveillance and social control.

South Korea also used Big Data techniques and data analysis to prevent the spread of the virus. And various Western nations are now doing the same.


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Big Data in real time: How does it apply to the coronavirus?
Big Data is a term that describes the vast volume of data, both structured and unstructured, that floods into organizations every day. But what matters is not the amount of data itself, but what is done with it. Now, the COVID-19 pandemic is proving that Big Data can be used not only to gain insights that lead to better decisions and strategic business moves, but also to solve social and human problems.

The above explains why it is so important for people to start overseas chinese in uk data familiar with these technologies and get used to the fact that, from now on, they will be part of our daily lives. Or at least to be clearly explained what big data and analytics are , and why it is so relevant today to have big data strategies and developments.

Collecting and analyzing data in real time is a key requirement for making decisions in a crisis context such as that posed by the COVID-19 pandemic, which by April 5 had infected more than one million people and caused the death of more than 70,000 worldwide. In both China and South Korea, this work of collecting and analyzing data on a massive scale was carried out in an attempt to stop the spread of the virus. The focus was on locating affected people or potential sources of infection.

It is known that telephone operators have precise information about the location of each mobile phone, and therefore they know where each user is. And they can also know who they have been with at each geographic point. By cross-referencing this information with the data of people who tested positive for COVID-19, it is possible to determine who was nearby and alert those people who were exposed to the infection. With this criterion, it is also possible to determine with a fair degree of granularity which geographic areas are most exposed to the virus.

In China, authorities used temperature detection and facial recognition solutions to identify potential infected people. At the same time, they carried out monitoring work based on information obtained from telephone operators, for which they used mobile apps. In other words, cell phones became an essential tool to detect potential infections.