It is interesting as well as unique topic regarding covid19 !

https://arxiv.org/pdf/2002.09334

It is interesting part of bioinformatic research via modelling based learning., however., it need very mature data, that may come into being as aftermath of the corona-19 disaster.

In plain words, for modelling data, we first need real physical models. For current well-developed viruses, however., the first step is biological experimental based research in various labs, which will finally produce enough data for machine learning for automatic recognition. Of course any commencement regarding working with epidemic data via artificial intelligence or digital techniques may be a good step for obtaining quick recognition results.

The covid-19 was predicted a year ahead of its spread. Find details in the article below

https://www.mdpi.com/1999-4915/11/3/210

regards

Dear Dr. Muhammad Ali ;

Thanks a lot for always answering my question in a professional way with great details. You have shown a very clear picture of the whole problem. I really appreciate your time and help!

Adasa Nkrumah Thanks for your reply!

Mohammed Deeb I do know that google scholar gives all the articles about whatever you're looking for, but I was looking for articles from an expert in this field!

Thanks !

It is interesting as well as unique topic regarding covid19 !

https://arxiv.org/pdf/2002.09334

Dear Mokhaled Al-Hamadani,

It is just to provide you a useful link of your interest.

https://d2l.ai/index.html

Every one may enjoy and participate it.

Good Luck

Jaydip Datta Thanks a lot for sharing this article with me!

Dear Dr. Muhammad Ali thanks again for providing me with great sources!

Preprint Mapping the Landscape of Artificial Intelligence Application...

Mohammed Abdallah Bakr Mahmoud Thanks a lot for sharing this Preprint with me.

Excellent question

Ihab A. Satam Thanks, dear friend!

The USA has known for two years, what the implications of the virus is going to be, because in 2018, the John Hopkins Center for Health Security ran a simulation called "Parainfluenza Clade X" to determine what the potential would be of a virus pandemic, and they concluded: "...twenty months 150 million people  worldwide--two percent of the global population--have died."

"...The global economy has collapsed under the strain, with the Dow Jones average down 90 percent. U.S. GDP down 50 percent, and unemployment at 20 percent. Washington is barely functioning--the president and vice president are both ill, one one-third of Congress is dead or incapacitated." 

People involved in that simulation were Tom Daschle (former leader of US Senate), Dr. Julie Gerberding (former head CDC), Jim Talen (former Missouri senator)--Why are all of these people keeping quiet right now, and not telling us what they saw in the global virus pandemic simulation only two years ago, and helping lead us out of this mess, with some new simulations???!!! 

This simulation information and attendee list is from pages 201-203 of the Bryan Walsh book, "END, A Brief Guide to the End of the World: Asteroids, Supervolcanoes, Rogue Robots, and more", published in 2019.

Details about the John Hopkins "CLADE X" exercise can be read at

http://www.centerforhealthsecurity.org/our-work/events/2018_clade_x_exercise/index.html

Craig Carlton Dremann Interesting information, thanks for sharing it with me!

Details about the John Hopkins "CLADE X" exercise can be read at

http://www.centerforhealthsecurity.org/our-work/events/2018_clade_x_exercise/index.html

Craig Carlton Dremann Thanks a lot for sharing these websites with me!

Using a simple Excel spread sheet, you do not need a supercomputer, to see that unless the doubling rates of the new cases of this virus is not slowed down, then April to June may be the worst 100 days for humanity, in maybe the last 10,000 years.

We MUST go from the various degrees of "Lockdown", which frankly in the USA is only been "Lockdown Lite" and has not been effective at all--To TOTAL QUARANTINE, which unfortunately the governor of New York stopped from being put in place on March 29th, at the peril of all of his 19.5 million inhabitants?

Rule of Thumb--about the exponential curve--California is tracking to double its cases every three days, but in order for the curve to bend, the number of days between doubling must be 30 more more, which means we are going to need a total China-style quarantine lockdown. Everyone for their own country, should track the number of days to for the number of cases to double, and when you get 30 or more, that is very good! If fewer than 30 days, need to do more.

Craig Carlton Dremann I mean a data set that contains all the bad effects of Corona Virus and makes them as features of a new data set that may be used in the Deep Learning field.

I do know that a simple excel sheet can show the spread of COVID-19. However, we need some features that may help us using AI to stop it spreads!

Yes, anyone who has access to a Supercomputer, we need help right now. But a simple monitoring of the number of days for the doubling of new cases, can at least have everyone on the planet become the judge of the effectiveness of their own country's methods. And if the current methods are failing, as they are here in the USA, insist that more stringent methods are employed immediately, to slam the brakes on the virus.

That is the only weakness that the virus has--we watch and monitor and change our behaviors so we do not become prey. The doubling times in China, starting when they had about 1,200 cases on January 24--Two days, then one day, 2 days, 3 days, 5 days, 8 days, then the doubling stopped on February 15, and since then less than a 10% increase, because they were applying the brakes all along, then slammed on the brakes in late February to early March. I am confident we can all do that too.

Craig Carlton Dremann I totally agree with you and we should all do that too as China did.

GOOD NEWS from California and the USA on April 2! The days to doubling of total cases is lengthening. In California our total case numbers were doubling like clockwork, every 3-4 days between March 8 and March 29th.

We put on "Lockdown Lite" on the 16th. Then from March 30 to today, the numbers are now doubling every 12 days. Once every country ON THE PLANET goes on a severe-enough lockdown for at least a month, then the total number of cases and days to double, start stretching out after 2 weeks of Lockdown.

Yesterday, President Trump was still refusing to do any lockdowns in any of the Republican states that support him, which means that a lot of his supporters will be too sick or dead, to be able to vote in November?

Craig Carlton Dremann That's really good news, hopefully all the countries do exactly like California State!

The total world cases today went over one million, and the doubling rate world-wide since March 13, has been every 7 days.

Unless every country starts Lockdown immediately, and right now, for at least the next 4-5 weeks--otherwise, the cases could keep doubling every 7 days, and that could result in 16 million cases by April 30th. The simple effort of staying home for the next 30 days, could slow down and stop this virus.

Datasets as possible around COVID19, to be used for machinelearning applications:

https://docs.google.com/document/d/1Wkvbf2t2Da87NtNvMJf_PRqv9zLHyqqtRitBIGGKKNM/edit?ts=5e78bf6d

If you track the total cases on https://www.worldometers.info/coronavirus/ you can see that unless every week we can lower the doubling rates of the total cases--if you open an Excel spread sheet and extrapolate the current doubling rate out--by the first of June we may have 500 million sick people worldwide.

And the easiest method to stop this, is quarantine, and EVERYONE wear cloth facemasks when they go out, plus zero movement between States, Countries or provinces? No cars, no buses, no planes, no motorcycles, no bicycles, no walking, no trains---nothing moving to spread the virus from one spot to another?

Craig Carlton Dremann Let's hope for the best. Hopefully, they gonna find the cure or vaccine soon, so we get out of this health crisis.

Mokhaled N. A. Al-Hamadani one thing we could do that first create a dataset based on symptoms, age, gender from the real data of affected patient and based on that we can classify the most common symptom in terms of age and gender for future prevention of COVID-19.

Malek Khalaf Albezuirat Thanks a lot for sharing your article with me.

We thank your interest

We will publish new research in the coming days

It is very likely that the SARS-CoV-2 coronavirus epidemic causing Covid-19 disease can accelerate the development and implementation of ICT, Industry 4.0 information technologies, including Machine Learning for education processes, research processes, internet communication, etc. Due to the SARS coronavirus pandemic -CoV-2, the processes of digitization of the economy have accelerated, the scale of development of e-commerce, remote contact via the Internet and the development of e-learning replacing canceled classes at schools and colleges is increasing. Also increasing the use of ICT, Industry 4.0, including Machine Learning and Deep Learning technologies for research and analytical processes enables the improvement of research in various fields of knowledge and science in this current (April 2020) difficult period for many companies and home quarantine and restrictions on moving in public places. Also research and analysis in the field of virology, during which large data sets are analyzed can be improved by the above-mentioned technologies.

Greetings.

Dariusz Prokopowicz

Dear Malek Khalaf Albezuirat is your paper has something to do with machine learning and deep learning. I'll be more than happy to contribute in your coming paper, if that's possible.

Best

Dear Dariusz Prokopowicz thanks a lot for your reply. I do agree with all the things that you've mentioned above.

Novel Coronavirus National Science and Technology Resource Service System http://nmdc.cn/nCov/en

Dear Mohammed Abdallah Bakr Mahmoud thanks a lot for sharing this website with me!. I really appreciate it.

Dear All

I think that machine learning could help in various ways regarding Covid-19 pandemic:

Dear Mohammed El-hajj thank you so much for your reply. You have mentioned some important and major issues that must be studied and discussed using DL and ML. I really appreciate that!

Dear Efosa Igodan , I'm ready to collaborate with you!

Dear Efosa Igodan ,

Thanks a lot for your interest. I will contact you as soon as possible.

Best,