Blog_Banner_Asset
    Homebreadcumb forward arrow iconBlogbreadcumb forward arrow iconArtificial Intelligencebreadcumb forward arrow iconMachine Learning Predicts the Impact of Quarantine: Read MIT, RPI Research Summary

Machine Learning Predicts the Impact of Quarantine: Read MIT, RPI Research Summary

Last updated:
19th May, 2020
Views
Read Time
4 Mins
share image icon
In this article
Chevron in toc
View All
Machine Learning Predicts the Impact of Quarantine: Read MIT, RPI Research Summary

Introduction

To slow down the transmission of Coronavirus, most countries all over the world have resorted to quarantine strategies and social distancing. But this will only inhibit the spread of the virus, and cannot be the ultimate solution. Scientists are using the power of artificial intelligence, especially machine learning to understand the impact of quarantine measures in the fight against COVID-19.

Top Machine Learning and AI Courses Online

Let us learn more about the subject.

Machine Learning quarantine prediction: Developments at MIT

Researchers and scientists have been analyzing huge sets of data based on previous outbreaks such as SARS and MERS. Recently, a team at MIT has developed a machine learning model that uses the COVID-19 data along with a neural network. The combination of these two technologies will predict the spread of this virus and understand the effectiveness of quarantine.

Ads of upGrad blog

Trending Machine Learning Skills

Enrol for the Machine Learning Course from the World’s top Universities. Earn Masters, Executive PGP, or Advanced Certificate Programs to fast-track your career.

The tools that were used earlier for understanding disease transmission were based on the SEIR model. This model segmented people as susceptible, exposed, infected, and recovered. This model was improved by MIT researchers. They trained the neural network to gather data about infected individuals under quarantine who are not transmitting the virus.

Powered by machine learning and epidemiology, the model immediately showed results depicting the efficiency of quarantine in different countries. The analysis showed that in countries such as South Korea, strict quarantine measures slowed down the transmission rate of COVID-19. This was because the government was quick to intervene and implement quarantine.

Read: 24 Things To Do in Quarantine For Professional Growth

The machine learning model also depicted that in countries such as Italy and the USA, the virus spread rapidly and exponentially. This was due to the fact that government agencies were slow to react and implement quarantine strategies. According to the model, quarantine restrictions have successfully brought down the rate of effective reproduction of COVID-19 from greater than 1 to smaller than 1.

Using the data from different countries, the SEIR model was used along with the neural network to predict the effect of quarantine on the COVID-19 transmission rate. The neural network was trained to learn something called quarantine control strength function. The model further predicts that the infection rate will go up to almost 6,00,000 in the USA before starts to dropdown. 

According to the researchers, the model shows that relaxation in quarantine measures can spike up the transmission rate again.

Research and developments at Rensselaer Polytechnic Institute (RPI)

Researchers at RPI are also analyzing Machine Learning quarantine prediction. They are using machine learning to evaluate the effectiveness of social distancing. The machine learning models developed here use medical data from New York’s health department. Data from counties Albany, Schenectady, Saratoga, and Rensselaer until April 10 were collected.

This machine learning model predicted that the total number of infections will be around 58,000 by June 8, with 50% people quarantined at home.

Machine learning models used in smaller cities posed a problem as the medical data was not frequently updated. So, to solve this issue the researcher at RPI, Magdon-Ismail used machine learning to create a simple model that suits the data best. This is helping him to analyze the importance of quarantine and social distancing measures in these smaller cities.

Popular AI and ML Blogs & Free Courses

Ads of upGrad blog

Another team of researchers used human mobility data gathered by Baidu to understand COVID-19 transmission in China. Machine learning was used to analyze the data. It was found that, yet again, quarantine measures reduced the number of infections and dropped the rate of transmission in China.

Read: How Data Science Can Help Preventing Future Pandemics

Conclusion

All the reports discussed above suggest that machine learning quarantine prediction is playing a significant role in mitigating the COVID-19 pandemic. It is proved that quarantine and social distancing rules are the best ways to keep the transmission rates in check until an absolute solution is found.

If you’re interested to learn more about machine learning, check out IIIT-B & upGrad’s PG Diploma in Machine Learning & AI which is designed for working professionals and offers 450+ hours of rigorous training, 30+ case studies & assignments, IIIT-B Alumni status, 5+ practical hands-on capstone projects & job assistance with top firms.

Profile

Pavan Vadapalli

Blog Author
Director of Engineering @ upGrad. Motivated to leverage technology to solve problems. Seasoned leader for startups and fast moving orgs. Working on solving problems of scale and long term technology strategy.
Get Free Consultation

Selectcaret down icon
Select Area of interestcaret down icon
Select Work Experiencecaret down icon
By clicking 'Submit' you Agree to  
UpGrad's Terms & Conditions

Our Popular Machine Learning Course

Explore Free Courses

Suggested Blogs

15 Interesting MATLAB Project Ideas & Topics For Beginners [2024]
82091
Diving into the world of engineering and data science, I’ve discovered the potential of MATLAB as an indispensable tool. It has accelerated my c
Read More

by Pavan Vadapalli

09 Jul 2024

5 Types of Research Design: Elements and Characteristics
47010
The reliability and quality of your research depend upon several factors such as determination of target audience, the survey of a sample population,
Read More

by Pavan Vadapalli

07 Jul 2024

Biological Neural Network: Importance, Components & Comparison
50475
Humans have made several attempts to mimic the biological systems, and one of them is artificial neural networks inspired by the biological neural net
Read More

by Pavan Vadapalli

04 Jul 2024

Production System in Artificial Intelligence and its Characteristics
86696
The AI market has witnessed rapid growth on the international level, and it is predicted to show a CAGR of 37.3% from 2023 to 2030. The production sys
Read More

by Pavan Vadapalli

03 Jul 2024

AI vs Human Intelligence: Difference Between AI & Human Intelligence
112809
In this article, you will learn about AI vs Human Intelligence, Difference Between AI & Human Intelligence. Definition of AI & Human Intelli
Read More

by Pavan Vadapalli

01 Jul 2024

Career Opportunities in Artificial Intelligence: List of Various Job Roles
89143
Artificial Intelligence or AI career opportunities have escalated recently due to its surging demands in industries. The hype that AI will create tons
Read More

by Pavan Vadapalli

26 Jun 2024

Gini Index for Decision Trees: Mechanism, Perfect & Imperfect Split With Examples
70605
As you start learning about supervised learning, it’s important to get acquainted with the concept of decision trees. Decision trees are akin to
Read More

by MK Gurucharan

24 Jun 2024

Random Forest Vs Decision Tree: Difference Between Random Forest and Decision Tree
51700
Recent advancements have paved the growth of multiple algorithms. These new and blazing algorithms have set the data on fire. They help in handling da
Read More

by Pavan Vadapalli

24 Jun 2024

Basic CNN Architecture: Explaining 5 Layers of Convolutional Neural Network
269826
Introduction In the last few years of the IT industry, there has been a huge demand for once particular skill set known as Deep Learning. Deep Learni
Read More

by MK Gurucharan

21 Jun 2024

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