Gyansetu Team 
A deadly coronavirus (COVID-19) first appeared in Wuhan, China, in December 2019 and has been rapidly spreading worldwide.
With the help of artificial intelligence, data science, machine learning, and deep learning, we can analyze data and gain insights into the disease, accelerating efforts to tackle this global issue.
Gyansetu’s data science course in Gurgaon provides the knowledge and skills needed to contribute to this critical work.
Data is fuel to any machine learning model so it’s very important to understand all the aspects before diving deep into the technical details.
Few facts about Coronavirus:
The people who are infected by this disease suffer from respiratory illness.
According to WHO (world health organization) to date – 21 march 2020 there are 2,67,013 cases registered out of which confirmed deaths are 11,201 worldwide.
It has reached more than 100 countries but the number of cases has surged in Asia and Europe.
The top ten countries are – China, Italy, Iran, Spain, Germany, the USA, France, South Korea, Switzerland, UK. These all countries have the highest number of COVID-19 cases.
The common symptoms of this disease are Fever, Fatigue, and Dry cough. Some patients also face diarrhea, sore throat, runny nose, shortness of breath, aches, and pains. The virus is thought to spread when there is person-to-person contact – The person who is infected coughs or sneezes and through the droplets, the virus can get transmitted to other people when they land on the hand or mouth of a person.
The virus also spreads when the person comes in contact with contaminated objects or surfaces. As it lives on the surface that’s why it is so contagious.
According to the study, it stays on plastic for 72 hours, on stainless steel surface, and on cardboard for 48 hours. As it is highly contagious the people are advised to avoid public places, use masks to protect, sanitize public places, wash their hands frequently, don’t share your pieces of stuff, avoid touching your face, and social distancing.
Source: https://www.bbc.com/news/health-51048366
As around the globe coronavirus cases are increasing day by day in addition to the above precautionary measures the people are advised self – quarantining to curb the spread of COVID-19.
Especially the persons who have traveled to other countries and those who came in contact with a sick person must self – quarantine.
The person over 60 years of age, infants, and persons with medical conditions are at higher risks. The incubation period of coronavirus is between 2 – 14 days and the average incubation period is 5 days.
These are facts and figures of coronavirus. Apart from this data lots of data is generated every day on the media platform about the virus. If we utilize all this data then we can definitely curb the outbreak.
Before anyone else knew about it the BlueDot start-up spotted the coronavirus. The Canadian start-up BlueDot tracks infectious disease by using AI service.
An algorithm developed BlueDot predicted the outbreak of coronavirus and sent an alert to the client on 31st December.
BlueDot is a Canadian start-up that tracks infectious diseases around the world. It takes information from thousands of sources like health organizations, flights, climatic conditions, health reports, etc., and tracks infectious diseases around the world by using natural language processing and machine learning.
It learns the patterns from the data and predicts and forecasts as well. By studying the travel history and learning the patterns AI predicts the next travel trip of a person who is contracted with coronavirus and in this way predicts the spread of the virus across the globe.
Facial recognition systems and temperature detection software are used in conjunction with a china surveillance system to track coronavirus. Computer vision technology and sensors are used in this project.
The Chinese government is accessing the travel history of an individual to identify potential threats. The monitoring system accesses the travel pattern of an individual using big data and by checking how much time the person was closed to infected or virus-prone areas. The citizens are then assigned a health color code (red, yellow, and green) which indicates whether they should quarantine or not.
Thermometer guns are used for the screening of coronavirus. Baidu has developed AI system with sensors and computer vision technology to check the temperature of a person. 200 persons can be checked within one minute with the help of this AI system.
Another AI system for the detection of coronavirus in chest CT scans is developed by another Chinese tech giant Alibaba. The system is trained on 5000 cases of coronavirus patients and performs the test within 20 seconds. With 95% accuracy, another Chest CT scan AI system is developed by researchers from Renmin Hospital of Wuhan University, Wuhan EndoAngel Medical Technology Company, and the China University of Geosciences.
Deep Mind Recently declared that it has learned about the structure of protein associated with COVID-19 using deep learning. It is vital information and can thus help researchers for preparing vaccine formulas.
Different coronavirus datasets are available and with the help of that, we can analyze the outbreak across various regions, using visualization techniques we can create a pictorial representation, predict the number of upcoming cases using a machine learning algorithm.
Insilico Medicine uses AI for drug discovery. Drug Development takes a lot of effort and time to move the idea to market.
As well as there are so many factors that decide the success rate of this experiment. “We can substantially accelerate this process using AI and make it much cheaper, faster, and more likely to succeed,” says CEO of Insilico Medicine, Alex Zhavoronkov. This company published a paper in just 4 days related to molecules that could fight coronavirus. The AI-based system at Insilco took four days to come up with a conclusion and to identify thousands of new molecules that could be turned into potential medicine against COVID-19.
Source: https://www.clinicaltrialsarena.com/analysis/coronavirus-mers-cov-drugs/
Similarly, companies who are persistently putting efforts into the discovery of coronavirus drugs are:
Deargen is using deep learning models to develop new antivirals. SRI International and AI company Iktos in Paris announced a collaboration to discover and develop new anti-viral therapies on coronavirus.
Graph analysis can be done in understanding and forecasting the spread of viruses across different geographical locations during outbreaks. The network map is developed by the Singapore coding academy where each node in a graph is a patient and edges represent the path of infection through contact.
Robots are used at Chinese hospitals to help combat outbreak. These robots are used to protect medical staff from coronavirus infection. These robots are used to deliver medicines, food to the patients, disinfect rooms, and for communication purposes with isolated patients.
UVD Robots are also used to disinfect rooms by emitting ultraviolet rays. Along with this drones are also used to sanitize places, thermal imaging and patrolling. Chinese officials are using drones to check if someone is roaming without masks or if someone is violating quarantine rules. Different technologies like computer vision, sensors, deep learning models and used in conjunction to develop such types of machines.
Source: https://www.newscientist.com/article/2236777-coronavirus-hospital-ward-staffed-entirely-by-robots-opens-in-china/
Conclusion:
Gyansetu emphasizes that AI, data science, and machine learning can be used in different stages of an outbreak.
They can predict the count of patients in the upcoming days, assist in drug discovery, analyze smartphone history for travel information, and map relationships between data points, helping to eradicate the disease. These technologies support all phases, from prediction to recovery.
