Coronavirus Australia, USA and China Artificial Intelligence Prediction – Free Global Tracking

This video provides an overview of the Coronavirus sweeping USA, Australia, China and the rest of the world. I discuss Coronavirus symptoms and I cover an AI platform that predicated the virus outbreak and a free website to track reports and deaths of the virus globally.

I discovered a cool tech monitoring system for global viruses. And I’ll show you an alternative system you can access for free.

On 31 December 2019, World Health Organisation was alerted to several cases of pneumonia in wǔ hàn shì a city in the hú běi Province of China. The virus did not match any other known virus. This raised concern because when a virus is new, Doctors and Scientist do not know how it affects people.

One week later, on 7 January, Chinese authorities confirmed that they had identified a new virus. The new virus is a coronavirus, which is a family of viruses that include the common cold, and viruses such as Severe acute respiratory syndrome or SARS back in 2003.

Doctors say Symptoms may include:
• runny nose
• headache
• cough
• sore throat
• fever
• a general feeling of being unwell
• and can of course lead to death under a range of factors.

Cases are popping up all over the globe. And in my home Australia there are currently 4 confirmed cases.

I encourage people to look after themselves during this time.

This is a tech channel so I want to share two cool things I discovered while researching the coronavirus for my own information.

I found this ….

Yes a BlueDot.

BlueDot uses an AI-driven algorithm that scours foreign-language news reports, animal and plant disease networks, and official proclamations to give its clients advance warning to avoid danger zones.

How does it get all of this information to run through the algorithm?

If you are thinking social media – you would be wrong. The AI can pick up news of possible outbreaks, little murmurs on forums or blogs of some kind of unusual event.

The real trick is access to global airline ticketing data that can help predict where and when infected residents are headed next. It correctly predicted that the virus would jump from Wuhan to Bangkok, Seoul, Taipei, and Tokyo in the days following its initial appearance.

Dr. Kamran Khan founder and CEO of BlueDot first thought of using AI to predict or track infectious diseases when he was working in a hospital during the SARS epidemic of 2003.

BlueDot launched in 2014 and now has around 40 employees working on the technology. Physicians and programmers created a disease surveillance analytic program using machine learning techniques to sift through news reports in 65 languages, along with airline data and reports of animal disease outbreaks.

Once the automated data is complete it’s time for a human to review the report and confirm findings.

BlueDot’s reports are then sent to public health officials in a dozen countries (including the US and Canada), airlines, and frontline hospitals where infected patients might end up. BlueDot doesn’t sell their data to the general public, but they are working on it, Khan says.

I have a free alternative you can use.

The Center for Systems Science and Engineering is a research collective at Johns Hopkins University.

They developed a Geographic Information System or GIS dashboard to track the virus. The case data visualized is collected from various sources, including WHO, U.S. CDC, ECDC China CDC (CCDC), NHC and DXY.

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I am not a Doctor. I encourage you to conduct your own research. I include my references in the summary below.

Jon Hopkins Coronavirus Tracking website:…

**Please note I am not a Doctor – If you have any concerns please visit a medical professional. This video highlights the advancement of AI and global internet connectivity. **

My References:……

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