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The Importance of Big Data Analysis During COVID-19 Pandemic

The health sector has started to use big data and data analytics to better understand the virus and its spread during the COVID-19 pandemic, which is still uncertain in many ways and intensive researches still continues on it. It has been seen that it is possible to monitor virus and spreading trends by using billions of data with big data analysis. It can be said that even the life-saving potential of the solutions obtained from these analyzes is quite high.

Hence, how was it possible to manage the process over billions of arbitrary data?

For What Purposes was the Data Used? How Did It Benefit?

Thanks to data analytics solutions, data connections were established between data that could not be evaluated under normal conditions. Therefore, hospitals and health systems used these data to gain insight into the spread of diseases, risk zones, diagnosis, follow-up and potential impact through the data obtained.
For example, South Korea has been able to identify the social communities and the regions most at risk with artificial intelligence, and has been able to make significant progress during the pandemic thanks to systems that are able to collect data regularly and data mining. With the revealing of the links between the data and data presented in these fields, the vital importance of the rapid processing and analysis of the data in this period, which affects human health and competes with time in researches, was once again revealed.
Another example is the famous Chinese e-commerce company Alibaba, which developed a system that allows healthcare professionals to diagnose the virus in 20 seconds with 96% accuracy over medical data of 5 thousand Covid-19 patients with artificial intelligence. However, at this point, how much data the system is supported by is also very important for accurate analysis.

Contributions of Big Data Analysis During The Pandemic?

It is possible to predict community and individual infections with the results we will obtain from data such as demographic data, social and hygiene habits, existing health problems, weather and climatic conditions of the region. In addition, treatment results can be examined through big data and studies can be carried out on the applicability of different treatments.
Intensive research continues on big data analytics to screen patients, respond quickly, and allocate resources. Being able to track the number and status of patients when they enter healthcare facilities, understand how many patients need more screening during the pandemic, how many hospital beds are available, and which hospital is best equipped for incoming injured or patients are able to save lives in this process.

Importance in Virus Treatment Research

It should be admitted that computers are far more efficient than humans to discover millions of potential combinations in the 21st century.
Scientists have an ability to analyze and graph their data using natural language processing and machine learning. For example, large medical archives can be searched to find links between proteins and drugs or other associations that are meaningful to the medical community, to uncover drugs or drug combinations that have the greatest potential to inhibit the actions of viral proteins.
As a result, it is important to analyze and reveal the connections between data correctly during the pandemic process is in terms of diagnosis, spread, treatment process and even producing solutions for treatment. It is quite clear that countries that can produce the right solutions in the process have made great progress.
Resources: 

healthitanalytics

smartdatacollective

onlinedegrees

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