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Role of Data Science in COVID Times [2022 Update]
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swethakrishn017
Role of Data Science in COVID Times [2022 Update]
Data science continues to emerge as one of the many encouraging and in-demand professional paths for experienced professionals. Currently, successful data specialists recognize that people must go beyond their fundamental abilities to investigate massive amounts of data, data mining, and programming skills. Data experts must master the entire spectrum of the data science development circle and maintain a level of adaptability in order to reveal valuable knowledge for their businesses.
Data science can provide accurate predictions of coronavirus outcomes:
Medical professionals and others must have accurate and up-to-date information about how the coronavirus situation changes on a daily basis. Several organizations, including Johns Hopkins University, IBM, and Tableau, have released interactive databases that provide real-time views of the virus's progress. Many of these sources use data from reputable organizations such as the Centers for Disease Control and Prevention (CDC) in the United States and the World Health Organization (WHO). They also include direct links to those locations so that people can quickly and easily access reliable information.
Using these databases, people can learn about the number of confirmed cases, fatalities, and recoveries. Then, whether a person is on the front lines of the coronavirus fight or a concerned citizen looking for information, they can get all or most of what they need in one place.
Data Scientists Create a Faster Method for Contact Tracing:
COVID-19 can be slowed effectively using contact tracing. It entails contacting a person's close contacts after they test positive for the virus and informing them to self-isolate. Contact tracing takes time, but it is becoming easier as more people take social distancing seriously. At Oxford University, data scientists and medical experts collaborated to improve contact tracing. The project's experts claimed that mathematical models demonstrated how traditional methods of contact tracing used in public health are not fast enough to slow the spread of COVID-19 effectively.
They developed a mobile phone-based solution to eliminate the need for people to call their contacts manually. Instead, those individuals receive text messages confirming the necessity of self-isolation. The researchers emphasize that their approach will be most effective if it receives backing from national leaders and is not primarily driven by independent app developers. No countries are currently using this method. However, given the market penetration of mobile phones and people's familiarity with receiving texts, it's easy to see why this approach makes sense.
Data scientists Use Machine Learning to Find Potential Cures More Quickly:
Aside from the race to stop the spread of COVID-19, scientists are working hard to find effective treatments as soon as possible. The typical antibody discovery process in a lab takes years. On the other hand, this method only takes one week to screen for therapeutic antibodies with a high likelihood of success. Two Columbia University data science graduates have turned to machine learning for assistance.
The team taking this approach claims that it is also less expensive than traditional methods. Humans are still involved in the process because the machine learning algorithm must test the gene sequences identified as most promising. However, using this expedited method could be critical in finding effective interventions for coronavirus patients.
How Data Science Can Help Track the Spread?
Data Science Can Aid in Spread Tracking: Data science experts have concluded that graph databases help demonstrate how COVID-19 spreads. Each plan database explains the relationships between people, situations, or objects. Scientists refer to each of these entities as a node and the connections between them as "edges." The results provide a visual representation of any relationships between things.
During the early stages of the coronavirus outbreak, Chinese data scientists created the Epidemic Spread Graph database tool. It allowed users to enter identifying information related to their travels, such as a flight number or even a car's license plate. The database would then tell those users if anyone with a confirmed coronavirus case had taken those same trips and possibly spread the virus to other passengers.
Summary:
The entire world is fighting to end this pandemic. The healthcare data science community can make a significant contribution to the fight against this disease. Many excellent efforts have been made to use data visualization and Monte Carlo simulations to help combat the spread of this pandemic. We believe that our model addresses a complementary and important aspect of health policy by identifying those who are most vulnerable. We hope to mitigate the effects of this terrible disease by combining the efforts of these and many other excellent efforts in the healthcare technology space. If this article has inspired you to contribute in some way, we encourage you to do so.
Are you aspiring to become a data scientist or analyst in your preferred field? Learnbay offers an IBM-accredited data science course in Pune, where students work on real-world projects designed by industry professionals.
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