Blog_Banner_Asset
    Homebreadcumb forward arrow iconBlogbreadcumb forward arrow iconData Sciencebreadcumb forward arrow iconFight Coronavirus Pandemic With The Help of Data

Fight Coronavirus Pandemic With The Help of Data

Last updated:
28th May, 2020
Views
Read Time
5 Mins
share image icon
In this article
Chevron in toc
View All
Fight Coronavirus Pandemic With The Help of Data

Introduction

While most of us are locked inside our homes due to the outbreak of Coronavirus, healthcare professionals and scientists are doing their best to find a way to end this pandemic. One of their key weapons against this virus is technology, and specifically data science. Data is proving to be the most powerful resource for medical research. It is allowing researchers and scientists to understand the virus better and develop new preventive measures.

So how is data fighting this battle? Let us find out.

Data against the pandemic – Research and contact tracing 

As thousands of patients are getting admitted, their patient records, along with earlier patient records are being stocked in the hospitals and medical research centers. Data scientists are understanding and analyzing this data to identify a solution. Using data analytics tools, they are able to find hidden patterns in these huge medical datasets.

These patterns are allowing them to draw conclusions about transmission rates, symptoms, drugs, and treatment methods. Data tools can be used to enhance existing treatment methods. For example, countries such as Taiwan and Singapore are using location data from people’s mobile phones to trace if they had been close to a person tested positive for COVID-19. This data helps in contact tracing – how far the infection may have reached.

Based on location statistics, scientists can isolate localities and analyze whether these areas are COVID-19 hotspots or not. Singapore government’s TraceTogether application allows individuals to share data with the government about who they have been in close contact with. In South Korea, websites are being developed for notifying people about the recent COVID-19 cases.

All government personnel can contribute to building a huge and extensive data set for research. The more data is available, the better will be the research. As a result, discovering solutions will be easier.

Our learners also read: Free Python Course with Certification

Check out our data science certifications to upskill yourself

Mobility analysis

Tracking the movement data of the public without breaching data privacy is tough, but possible. It is important for tracing the spread of the virus. Tracking movement data also helps in analyzing the effectiveness of quarantine measures.

In the COVID-19 Mobility Monitoring project of Italy, anonymous users have volunteered to provide their location data to the government. The data is gathered from various sensors from smartphones, WiFi networks, beacons, and GPS.

Similarly, Google is also releasing mobility data of people across the world anonymously using Google Maps

Read: 24 Things To Do in Quarantine – For Professional Growth

Data against the pandemic – Spreading awareness

Organizations are collecting pandemic data from various sources to create dashboards. These dashboards depict COVID-19 information such as confirmed cases, deaths, transmission rates, infection hotspots, people who have recovered – all in real-time. Several websites are also using these dashboards to spread awareness among people.

These dashboards have helped governments gain public support while implementing preventive measures such as social distancing and home quarantine. Moreover, these dashboards have helped hospitals to analyze the real-time impact on medical resources and facilities. They have been able to manage, allocate, and properly utilize their resources.

Read: Machine Learning Predics the Impact of Quarantine

Top Data Science Skills You Should Learn

Data against the pandemic – Assessing the survival chances of patients

Examining several medical records and patient data helps the doctors to predict the survival chances of their patients. The medical data is fed to the data science programs that analyze the health conditions of the patients. The results obtained from these data tools help in prescribing medications, modifying treatment plans, and also predicting infections.

This has vastly helped drug research and development

Also read: How Data Science can help prevent future pandemics?

Read our popular Data Science Articles

upGrad’s Exclusive Data Science Webinar for you –

Watch our Webinar on The Future of Consumer Data in an Open Data Economy

Explore our Popular Data Science Online Certifications

Conclusion

Organizations and government agencies are continuously looking to figure out better ways to use data against the pandemic, COVID-19. Without a vaccine, the world is currently dependent on data science and technology to control virus transmission. As the saying goes, “Tough times never last, tough people do”, the combined efforts of our heroes – medical professionals and scientists – will surely rescue us from this pandemic, sooner or later.

If you are curious to learn about data science, check out IIIT-B & upGrad’s PG Diploma in Data Science which is created for working professionals and offers 10+ case studies & projects, practical hands-on workshops, mentorship with industry experts, 1-on-1 with industry mentors, 400+ hours of learning and job assistance with top firms.

Profile

Rohit Sharma

Blog Author
Rohit Sharma is the Program Director for the UpGrad-IIIT Bangalore, PG Diploma Data Analytics Program.

Frequently Asked Questions (FAQs)

1How can social distancing be maintained with the help of data science?

To reduce the spread of the virus, social distancing strategies can be used. Governments can use dashboards to see where measures are or aren't working, as well as include critical POIs (hospitals, supermarkets, and clinics) to understand patterns using spatial data on human mobility. The police can use these insights for law enforcement purposes as well. We can calculate infection prevalence, daily growth, and transmission rates with reliable tracking and benchmarking, which is critical for determining whether policies are working. Social distancing can be strictly enforced in this way.

2Can data science be of any help in the vaccination process?

Vaccine distribution is subject to a number of criteria, including the allocation of storage facilities, as the vaccine must be stored at low temperatures to maintain its efficacy. The electronic Vaccine Intelligence Network, or eVIN, has been tasked with vaccine management. But managing this is not an easy task. However, AI can assist in optimizing delivery, and IoT can alert authorities if the vaccine's storage temperatures fluctuate. AI can also keep track of how many people have been vaccinated in a given area.

3How can data science redefine the process of clinical tests?

When it comes to evaluating potential new medicines, randomized clinical trials (RCTs) are currently the method of choice for pharma. They have, however, become more expensive and complex over time, according to publicly available data. Data science advances can assist us in rethinking clinical trials, improving current practice, and discovering new ways to discover and develop potential new medicines. The rapid adoption of high-quality Electronic Health Records (EHRs), for example, represents a vast, rich, and highly relevant data source with enormous potential for improving clinical trial implementation. Federated EHR technology is enabling new ways to improve clinical research and change how clinical trials are conducted. Many clinical trial processes, such as patient identification, selection, trial conduct, and data collection, could be improved or replaced by the technology.

Explore Free Courses

Suggested Blogs

Data Mining Techniques & Tools: Types of Data, Methods, Applications [With Examples]
101499
Why data mining techniques are important like never before? Businesses these days are collecting data at a very striking rate. The sources of this eno
Read More

by Rohit Sharma

07 Jul 2024

An Overview of Association Rule Mining & its Applications
142265
Association Rule Mining in data mining, as the name suggests, involves discovering relationships between seemingly independent relational databases or
Read More

by Abhinav Rai

07 Jul 2024

What is Decision Tree in Data Mining? Types, Real World Examples & Applications
16859
Introduction to Data Mining In its raw form, data requires efficient processing to transform into valuable information. Predicting outcomes hinges on
Read More

by Rohit Sharma

04 Jul 2024

6 Phases of Data Analytics Lifecycle Every Data Analyst Should Know About
82627
What is a Data Analytics Lifecycle? Data is crucial in today’s digital world. As it gets created, consumed, tested, processed, and reused, data goes
Read More

by Rohit Sharma

04 Jul 2024

Most Common Binary Tree Interview Questions & Answers [For Freshers & Experienced]
10088
Introduction Data structures are one of the most fundamental concepts in object-oriented programming. To explain it simply, a data structure is a par
Read More

by Rohit Sharma

03 Jul 2024

Data Science Vs Data Analytics: Difference Between Data Science and Data Analytics
70155
Summary: In this article, you will learn, Difference between Data Science and Data Analytics Job roles Skills Career perspectives Which one is right
Read More

by Rohit Sharma

02 Jul 2024

Graphs in Data Structure: Types, Storing & Traversal
51863
In my experience with Data Science, I’ve found that choosing the right data structure is crucial for organizing information effectively. Graphs
Read More

by Rohit Sharma

01 Jul 2024

Python Banking Project [With Source Code] in 2024
14945
The banking sector has many applications for programming and IT solutions. If you’re interested in working on a project for the banking sector,
Read More

by Rohit Sharma

25 Jun 2024

Linear Search vs Binary Search: Difference Between Linear Search & Binary Search
66270
In my journey through data structures, I’ve navigated the nuances of linear search vs binary search in data structure, especially when dealing w
Read More

by Rohit Sharma

23 Jun 2024

Schedule 1:1 free counsellingTalk to Career Expert
icon
footer sticky close icon