When we discuss COVID-19 with data science, the first thing that comes to mind is the role of health workers who lead from the front. Data scientists are working from home and not contributing to helping humanity out of this crisis during such times. But is this statement true? To answer this, we must know that wherever there is data, we need data scientists.
DATA AND COVID-19
We might or might not sense it, but data is everywhere. Everything we see, search, shop, or buy is a part of a large dataset. This dataset is being used to analyze various trends and behaviors. The COVID-19 pandemic is generating lots and lots of data. This data is being gathered and analyzed to understand its spread and develop a preventive mechanism or even a permanent solution. Also, this data is being used to study the entire pandemic’s lifecycle. Looking forward to becoming a Data Scientist? Check out the Data Science Course with Placement and get certified today.
DETECTION
Many undergoing projects use Artificial Intelligence (AI), using deep learning and machine learning algorithms to analyze big data collected from thousands of sources to specialize in Infectious disease surveillance. Currently, there is no standard method for detecting COVID-19. Though CT is being used for the same purpose, it gives a similar result for COVID-19 and other kinds of respiratory diseases. But researchers do believe that AI can be used to upgrade chest imaging to give a much more clean and more reliable output to differentiate between the symptoms of COVID-19 and pneumonia. Also, check this Data Science Training and Placement in Bangalore to start a career in Data Science.
SPREAD
Along with detection, data analytics can also be used to study the spread of diseases. For example, BlueDot, a Toronto start-up, uses airline ticketing data to predict the spread from one city to another. In India, Arogya Setu mobile application uses location statistics to analyze the spread. It gives a warning to the user when they come in the range of an infected person. It also helps the local health authorities to detect the location of all the people at high risk. Become a Data Scientist with 360DigiTMG Data Science Colleges in Pune. Get trained by the alumni from IIT, IIM, and ISB.
MANAGING THE SITUATION
After the outbreak, the public health authorities can use AI-driven applications to control the pandemic. As advised by every national and international health organization, social distancing is the most effective way to break the chain, but let’s not forget that human beings are social beings. Maintaining distance is hard in populated countries like India. These days, thermal and face detection security cameras are installed in public places to warn whenever there is less than a 6-foot distance between people. Robots tend to patients when there are high chances of getting infected. Drones are used in containment zones to supply daily necessities such as groceries, toiletries, masks, etc. Want to learn more about data science? Enroll in the Best Data Science Training in Hyderabad to do so.
RECOVERY
The last and most important step in recovery. Recovery is not only required for the pandemic but also for economics. Both medical and economic recovery is based on data science. For medical recovery, a vaccine is required that can be made only when we have an adequate amount of data about the disease. Data about the disease includes its symptoms, what age group it has affected the most, the recovery rate, the fatality rate, the recovery time, etc. For economic recovery, information is required to understand what class of society was affected the most, how many people were affected, etc. Data science can help the decision-making body take the necessary actions.
CONCLUSION
Data science plays a key role in understanding and managing the situation during the COVID-19 pandemic. Though the situation came as a surprise, we have handled it with much more ease than any other past pandemic with the help of data science.
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