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

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.

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.

The above preprint from my colleague provides many criteria on this topic.

Hello Ahmed Ismail Ebada ,

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.

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.

http://www.combine.umd.edu/network-epidemiology/

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.

Thanks for all of your interesting answers

Have a look at http://news.mit.edu/2020/how-well-computers-symptoms-diseases-0108

https://www.sciencedirect.com/topics/engineering/computer-aided-diagnosis

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

The deep learning techniques applied on social distancing data and on CT scan images can help contain Covid-19

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

As mentioned above, computer science can build many applications that could warn people from this virus!

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!

IoT, AI, ML, DL etc

By developing model on infection rate and identify safe zone

Please have a look at the link below:

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

It can play a role in Corona related vaccine development, see for example : https://www.wired.com/story/opinion-ai-powered-biotech-can-help-deploy-a-vaccine-in-record-time/

A large datasets related to covid 19 still required and necessary for a more reliable results of AI models

Thanks for sharing your thoughts

Yes, a large dataset are required to control the impact of Covid-19

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:

Dear Ahmed Ismail Ebada,

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

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.

Information technology,genetic evolution diagnosis, tranfer and digitally treatment and computer ied labs very important quickly diagnosis and treatment in covid 19 virus .

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

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.

. 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 .

Computer science can contribute in various ways. Some are mentioned as follows.

Reference:

I agree with Ahmed's position, a large dataset is needed to track Covid-19's impact.

I agree with Ahmed's position, we need large datasets to track Covid-19's impact.

With the use of artificial intelligence, we can have several data related to COVID-19.

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

We can apply AI algorithms for COVID-19 detection and predictions