The recent coronavirus outbreak has been declared as a
pandemic by the World Health Organization. New cases are being reported every
other moment in the majority of countries. Up to now, the pandemic has taken the
precious lives of 8,227 people. At this critical point of time, data science
has a major role in predicting the growth rate of the coronavirus using models.
·
Answers to find using
data science:
The countries are now trying to
predict certain facts about the coronavirus. Data science is being employed to
find out when the outbreak is going to end. We want to know what the patterns
of conditions are monthly when the coronavirus affects a country. When there is
a peak and how quickly it can spread over an area are the questions that can be
solved with the help of data science.
·
Developing the model:
When the data scientists tried to
make a simple mathematical model, they collected the data about the number of
death cases and plotted it in a graph with respect to time. As a result, they
observed an exponential curve. This model was not practically reliable but
helped the scientists to have a rough estimation about the severity of the
pandemic. Then, some of the data scientists in Canada used artificial
intelligence for developing the coronavirus model and ended up predicting the
outbreak more accurately than other parts of the world. They achieved success
because AI provided them with powerful tools and high-quality memory that made
their work simpler and more precise.
·
Use of data science in
different countries:
Taiwan, a country located near China,
employed big data technology to make predictions about the coronavirus. According
to the American Journal of Medical Association (AJMA), Taiwan was successful in
reducing the death rates of the coronavirus due to advanced data science
techniques. Similarly, Shanghai also collected various important data from its
workers in China and Shanghai about temperature, humidity, and travel details.
Then the data scientists analyzed the data using big data processors and
predicted the steps in which the disease can spread from the epicenters. By
adopting this strategy, they were able to minimize the spreading of the
pandemic.
·
Solutions from data
science:
After analyzing the data of
coronavirus victims, it has been concluded that we must flatten the curve to
wipe out the pandemic. We should try to reduce the rate of infection by
avoiding social gatherings and by using proper masks. Hand washing techniques
should be properly followed to avoid contamination. In India, the next month is
crucial because the number of diagnosed cases can soar up at this stage. Since
it takes a lot of time to test the swab and blood samples of the suspected, the
pandemic can easily spread within the country. The older and poor are most
vulnerable to get affected by the virus. They must observe adequate precautions
to stay safe. The healthcare system has to become more alert to face the dire
situation.
“United we stand, divided we fall”. COVID-19 is a
serious societal issue. We can fight this situation by working as a community.
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