Discussion
Started 28th Apr, 2020

How can computer science contribute to stop the COVID-19 pandemic?

The question of how computers can contribute to controlling the COVID-19 pandemic is being posed to experts in artificial intelligence (AI) all over the world.
AI tools can help in many different ways. They are being used to predict the spread of the coronavirus, map its genetic evolution as it transmits from human to human, speed up diagnosis, and in the development of potential treatments, while also helping policymakers cope with related issues, such as the impact on transport, food supplies and travel.
But in all these cases, AI is only effective if it has sufficient examples to learn from. As COVID-19 has taken the world into unchartered territory, the "deep learning" systems, which computers use to acquire new capabilities, don’t necessarily have the data they need to produce useful outputs.

Most recent answer

7th Jan, 2022
Vincent O. Nyangaresi
University of Nairobi
We can apply AI algorithms for COVID-19 detection and predictions
4 Recommendations

Popular replies (1)

7th Jan, 2022
Vincent O. Nyangaresi
University of Nairobi
We can apply AI algorithms for COVID-19 detection and predictions
4 Recommendations

All replies (37)

28th Apr, 2020
Mela G. Abdul-Haleem
University of Baghdad
The use of pattern recognition techniques can be helpful for localization the existing of the cells of the virus in the body for example Russia uses facial recognition to tackle Covid-19. City officials are using a giant network of tens of thousands of cameras - installed with facial recognition software. An interesting New York Times article last week posited that governments’ use of digital surveillance techniques for the COVID-19 response – such as the tracking of geolocation to gauge quarantine restrictions – would lead to more pervasive digital tracking in the future. On a related note, there have been reports of an increased use of facial recognition technologies as governments use digital tools to respond to the outbreak.
2 Recommendations
28th Apr, 2020
Mawadah Mohammed Sulaiman
University of Mosul
Al can helps to recognize the location of existing ceels of the virus covid 19 on the humans body by facial recognition technologies and can neural netwok also may be avoid or attempt to learn the netwok the available treatment and to avoid increesed the cells of covid_19 on the humman's boody.
3 Recommendations
28th Apr, 2020
Lahiru Laminda Abeysekara
Deakin University
The above preprint from my colleague provides many criteria on this topic.
2 Recommendations
I believe that both Machine and Deep Learning is currently a hot topic and has attracted many people to do research in this area and find numerous and interesting use-cases. Regarding COVID-19 pandemic, classification algorithms would be useful to distinguish the affected cases from unaffected ones. This applies to regions too. Another thing is you can also predict how this classified population is varying over a period of time (over this quarantine). Very large population data sets would require the usage of deep neural networks so as to train more amount of data. Additionally, AL tools can also assist in recommending the researchers regarding the appropriate medicines for the concerned person and for the right disease (when they have their vaccines in hand and wanted to know the best one for a particular person).
I also observe that cryptography will be an important area as this will help in securing authentic data about the details maintained in different websites such as affected, unaffected, susceptible areas, and so on. Maintaining a highly secure database will be an important step towards securing such valuable information as exploiting inaccurate data may easily jeopardize the psychology of the society, especially during such critical situations.
30th Apr, 2020
Aqil Assalil
Florida Atlantic University
There is an event called "Network Epidemiology Online Workshop Series - Understanding and Exploring Network Epidemiology in the Time of Coronavirus " currently going on in which they have invited individuals from a multitude of specialties on looking at unique ways of combating the COVID-19 issue. There are a ton of datasets that have already been shared. This is an excellent place to start. Don't be intimated by the Biological Aspects of the theme. Computer Science plays a major role in every area of the sciences.
1 Recommendation
1st May, 2020
Okuthe P Kogeda
University of the Free State
Computer science can develop apps that help with contact tracing, testing and warning in advance about a hotspot of the disease. All these can be achieved using AI algorithms.
2nd May, 2020
Ahmed Ismail Ebada
EU Business School
Thanks for all of your interesting answers
3rd May, 2020
Ayoub Ezzaki
Mohammed V University of Rabat
Dear Ebada
If we cant detect correctly the COVID19 virus by Computer science, we can at least stopping it from growing. One of the most interesting applications of computer science in this case is the re-programmed robots for decontamination.
As we know, the COVID19 can steak in surfaces, so a good contamination can be a great element of limiting the growing of the pandemic
6th May, 2020
Ashwani Kumar
Sant Longowal Institute of Engineering and Technology
The deep learning techniques applied on social distancing data and on CT scan images can help contain Covid-19
12th May, 2020
Olutola Olaide Fagbolu
University of Sierra Leone
Natural Language Processing Parser can help in the development of interactive chat bot that can give preventive measures, symptoms, FAQs of Covid-19, Emergency contacts for all the districts, provinces or states and general toll-free number of ministry of health, live information on cases of Covid-19 patient(s), infection rate(s) and many more
1 Recommendation
17th May, 2020
Mokhaled N. A. Al-Hamadani
Northern Technical University
As mentioned above, computer science can build many applications that could warn people from this virus!
1 Recommendation
1st Jun, 2020
Shrohan Mohapatra
University of Massachusetts Amherst
I think one can use cellular automata to design the antidote to the SARS-CoV-2!
I have worked extensively worked on cellular automata and have worked on how to convert neural nets to "learning cellular automata" as a part of my undergraduate thesis!
So with neural nets based AI techniques on learning the virus configurations, I can always construct preliminary CAs that can do the same! Perhaps, to do even better, I can use the 4-tuple definition of cellular automata, "learn" the neighbourhood of the cell of the grid and also the transition function also. To be precise and complete, I am representing a single "genome" of the virus as a single cell of the CA! This way, I can theorise the scalable parallelisation of the learning algorithm in a much-closer-to-reality fashion! This way, I would simply need to depend a large number of simpler ALUs instead of relying on several iterations of computation upon the same (perhaps more complicated and deeper) neural ALU grid! That way, I can somehow think of converting that learning CA as a "dynamical manifold" that would prove and substantiate all or most of the Markov chain based models that are currently prevalent in the literature!
To cut the long story short, I am suggesting a "computationally deterministic" dynamical model that can be scalable parallelised that can track/hunt down the genomic activity, which (at least I believe) lies at the heart of the antidote pathway design! (Although, I am a complete novice!)
Please let me know if I am astray at any point in the above suggestion!
15th Jun, 2020
Sourabh Shastri
University of Jammu
IoT, AI, ML, DL etc
23rd Jun, 2020
Abhijit Mitra
University of Calcutta
By developing model on infection rate and identify safe zone
23rd Jun, 2020
Harasit Kumar Paul
Bangabandhu Sheikh Mujib Medical University
Please have a look at the link below:
2 Recommendations
24th Jun, 2020
Dariusz Prokopowicz
Cardinal Stefan Wyszynski University in Warsaw
For example, ICT and Industry 4.0 are used to improve predictive analytics used to analyze the development and to develop development forecasts for complex, multifactorial processes, including predictions for the development of an epidemic and / or pandemic SARS-CoV-2 Coronavirus (causing Covid-19 disease). In this way, knowing the future, forecasted pace of development and / or expiration, you can better prepare, adapt your healthcare system, apply specific socio-economic policies to counteract negative economic effects, etc.
Best regards,
Dariusz Prokopowicz
2 Recommendations
18th Jul, 2020
Mohamed Samir Boudrioua
Ronin Institute
A large datasets related to covid 19 still required and necessary for a more reliable results of AI models
1 Recommendation
20th Sep, 2020
Ahmed Ismail Ebada
EU Business School
Thanks for sharing your thoughts
29th Oct, 2020
Tariq Sheakh
SKC Government Degree College Poonch
Yes, a large dataset are required to control the impact of Covid-19
29th Oct, 2020
Mela G. Abdul-Haleem
University of Baghdad
AI tools can help in many different ways. They are being used to predict the spread of the coronavirus, map its genetic evolution as it transmits from human to human, speed up diagnosis, and in the development of potential treatments. But in all these cases, AI is only effective if it has sufficient examples to learn from. See the below link:
6th Dec, 2020
Dariusz Prokopowicz
Cardinal Stefan Wyszynski University in Warsaw
By using ICT and Industry 4.0 information technologies to improve forecasting the development of the SARS-CoV-2 (Covid-19) coronavirus pandemic and improve pandemic risk management systems, improve the applied and create new anti-pandemic security instruments, etc.
Best wishes,
Dariusz Prokopowicz
1 Recommendation
12th Dec, 2020
Mushtaq Ahmad Jan
Kohat University of Science and Technology
Computer play very important role in the controlling of covid-19 pandemic. Modern Hospitals have digital labs, through which they can observe that how Corona virus transfer from one person to another, and how it effect the person. Computer can help them to make a vaccine also.
2nd Feb, 2021
Mawadah Mohammed Sulaiman
University of Mosul
Information technology,genetic evolution diagnosis, tranfer and digitally treatment and computer ied labs very important quickly diagnosis and treatment in covid 19 virus .
3 Recommendations
8th Feb, 2021
Dariusz Prokopowicz
Cardinal Stefan Wyszynski University in Warsaw
ICT information technologies proved to be very helpful in improving big data collection processes and analytics in various fields of social sciences, medical, economic, etc. ICT, Internet and Industry 4.0 information technologies helped to reduce the negative impact of the SARS-CoV-2 coronavirus pandemic ( Covid-19) on societies, economy, health care institutions, etc. These technologies have made it possible to increase the scale of digitization and Internetisation of remote communication processes as well as social, economic and other processes. Thanks to the implementation of ICT, Internet and Industry 4.0 information technologies to remote communication processes, economic processes and the improvement of analytical processes implemented in various scientific disciplines, many institutions and economic entities have managed to significantly reduce the negative effects of the Coronavirus pandemic. Thanks to the aforementioned technologies, the scale of the health, economic, social, etc. crisis caused by the SARS-CoV-2 (Covid-19) coronavirus pandemic is much smaller than it would be if these technologies did not exist. Therefore, the current fourth technological revolution has proved to be very helpful in reducing the negative impact of the SARS-CoV-2 (Covid-19) coronavirus pandemic on the functioning of people, the operation of public institutions, economic entities and entire economies. If this type of pandemic appeared, for example, in the middle of the 20th century, i.e. before the development of computer science and the third technological revolution, then the negative impact of the SARS-CoV-2 (Covid-19) coronavirus pandemic on people and entire economies would be several times higher than that recorded in 2020.
Best wishes,
Dariusz Prokopowicz
1 Recommendation
Computers is just an aspect of computer science studies. I think another way computer science can contribute to fight the current pandemic is on the mathematical aspect of the field. Applied mathematics has been very active in studying this pandemic via quantitative methods with cross discipline immersion with biology related fields focusing on the SARS-CoV-2 virus.
16th Aug, 2021
Mawadah Mohammed Sulaiman
University of Mosul
. I think another way computer science can contribute to fight the current pandemic is on the neural network aspect of the field. Applied has been very active .
3 Recommendations
28th Aug, 2021
Anik Islam Abhi
The University of Calgary
Computer science can contribute in various ways. Some are mentioned as follows.
  • Collect patient samples without human intervention.
  • Check patient tempreture.
  • Impose lockdown remotely.
  • Assist to maintain quarantined patients remotely.
  • Monitor outdoor activities of people outside.
  • Spread awareness.
  • Deliver medicine remotely
  • and so on.
Reference:
2 Recommendations
28th Aug, 2021
Cristiano Santos
Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte
I agree with Ahmed's position, a large dataset is needed to track Covid-19's impact.
29th Aug, 2021
Weverton Araujo
Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte
I agree with Ahmed's position, we need large datasets to track Covid-19's impact.
30th Aug, 2021
Hafael Morais
Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte
With the use of artificial intelligence, we can have several data related to COVID-19.
30th Aug, 2021
Alano Menezes
Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte
Relevance in an increasingly technological society. Studies in the field of computation and mathematical modeling offer analytical power amidst as much data as never before in history. The use of social networks and other tools are also of great help to traders, self-employed professionals, in the area of education and health, among other fields that can take advantage of the various platforms that allow people to communicate and interact at a distance
7th Jan, 2022
Vincent O. Nyangaresi
University of Nairobi
We can apply AI algorithms for COVID-19 detection and predictions
4 Recommendations

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