Yes definitely if based on meaningful data at the outset. It would be able to self learn. The right AI infrastructure (hardware and software) and data mining/drill down technologies etc would also be needed and integrated with the IoT.

I think technologies such as AI must be used at the front end of any pandemic and not the tail end. In other words it must not be used only to 'chase' after the pandemic after it has occurred, but rather be used to predict where it is going to next as so interventions can be made before the pandemic even gets there. AI can do this and more with proper use and investment.

Corona virus spreads can be minimized by humanized machine learning, that may be based on current information/data provided by states to the public for general awareness and precautions via TV + Internet +Newspapers. The digitized machine learning is suitable for industry applications, e.g., classification, detection etc for practical implementation., e.g., in health centers, pharmaceutical and health tools industries etc.

Yes, see https://github.com/nextstrain for how the virus mutates. CNN a couple days ago published an article called https://www.cnn.com/2020/03/23/asia/hong-kong-coronavirus-quarantine-intl-hnk/index.html which speaks about how a second wave of coronavirus was because citizens let their guard down too soon

I strongly believe that AI can help in the mapping mobility in geometric scale. Hence, data at every stage would be extremely useful in predicting transmission over time. This would be a guide to its containment.

researchers have developed a tool called FluSense, it is about the size of a dictionary. It contains a cheap microphone array, a thermal sensor, a Raspberry Pi and an Intel Movidius 2 neural computing engine. The idea is to use AI at the edge to classify audio samples and identify the number of people in a room at any given time. This will help to identify flu symptoms For isolation

YES, you can see our research on prediction of covid19 based on CT-image

Article A Novel Approach of CT Images Feature Analysis and Predictio...

https://www.preprints.org/manuscript/202003.0284/v1

Adasa Nkrumah cheap hand work and low currency among others

Yes definitely if based on meaningful data at the outset. It would be able to self learn. The right AI infrastructure (hardware and software) and data mining/drill down technologies etc would also be needed and integrated with the IoT.

I think technologies such as AI must be used at the front end of any pandemic and not the tail end. In other words it must not be used only to 'chase' after the pandemic after it has occurred, but rather be used to predict where it is going to next as so interventions can be made before the pandemic even gets there. AI can do this and more with proper use and investment.

One of the approaches - ways AI and XAI can help study covid-19 is to:

1. Map the Virus genome

2. Map it’s dynamics and changes in genome

3. Use bio-genomic sequencing patterns to identify active links and patterns

4. Map interactions with patients cells and changes in patient genetics in affected cells and near neighboring cells

5. Use AI and XAI and bio-ontology tools to quickly help genetic researchers

Maybe, but we need data

Here is a dataset of over 45,000 scholarly articles, including over 33,000 with full text, about COVID-19, SARS-CoV-2, and related coronaviruses. This freely available dataset is provided to the global research community to apply recent advances in natural language processing and other AI techniques to generate new insights in support of the ongoing fight against this infectious disease. https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge#metadata.csv

Machine learning and deep-learning artificial intelligence techniques to detect characteristics, patterns and relationships to medical datasets across various domains can establish treatment goals and predict future outcomes based upon the availability of resources and associated factors.

"AI in the Time of Coronavirus: Diagnosis, Analytics, and Prediction" may be also useful: https://lionbridge.ai/articles/how-ai-technology-is-fighting-the-coronavirus/

AI will help in making predictions in respect to the virus pattern of spread in various countries. Available information on preventive measures and curative procedures will help in making ML, DM and AI a reality in curbing the infection.

It may even be natural intelligence. Just look at the flow of tourists from one country to another. Their power (traffic) completely coincides with the spread of the virus:

https://pbs.twimg.com/media/B3BOmQKIMAAmgeD.png.

https://habr.com/ru/post/177931/

https://writings.stephenwolfram.com/data/uploads/2013/04/chordplot-movers-by-country-big3.png

https://writings.stephenwolfram.com/2013/04/data-science-of-the-facebook-world/

The reasons for this are quite clear and with the help of natural intelligence. But intelligence alone is not enough: we also need the will of leaders and the technical equipment of doctors

Take one aspect of AI - neural networks. And recall that the virus is striking social space. That social space is a complex dynamical system. Often, the space is strongly non-ergodic and so analytically intractable in the long-run of policy. Now bring in gradient descent. It allows us imagine how we might eventually manage non-ergodicity of policy. We will dig deeper. Keep watch.

Yes, it is possible and very likely. If the SARS-CoV-2 coronavirus pandemic causing Covid-19 disease will continue to develop in many weeks and months in many countries, ICT, Industry 4.0 technologies, including artificial intelligence, and Machine Learning will be used for analytics on large data sets development of the SARS-CoV-2 Coronavirus epidemic in individual countries, communities, regions, continents, etc. Because the SARS-CoV-2 Coronavirus mutates and, according to virologists, may return in the following years, in the following autumn-winter seasons the same as influenza, so the problem of the Coronavirus epidemic SARS-CoV-2 will not be fully resolved quickly until the vaccine is invented. If this negative scenario develops in subsequent years, there will be a significant increase in ICT, Industry 4.0 information technologies, including artificial intelligence, Machine Learning for research, analytical and prognostic processes regarding many aspects of the potential development of the SARS-CoV-2 Coronavirus epidemic as well as developing effective methods of medical analytics and therapeutic therapies, the impact of epidemic development on economic and other processes.

Greetings.

Dariusz Prokopowicz