Coronavirus: How can AI and Data Science help fight the Pandemic

The coronavirus of 2019 (COVID-19) is being resolved with Artificial Intelligence & Data Science. Global researchers are partnering on scientific breakthroughs in order to quickly deploy and test new vaccines, to determine hotspots of the disease growth and to suggest strategies using the World Health Organization for disease quarantine and avoidance.

Since the December 2019 outbreak of this coronavirus (COVID-19) in China. There’s panic everywhere with others wearing masks and some locked in their houses all day to stay away from contracting the virus. As the factory of the globe, there are worries the outbreak will negatively affect the Chinese economy. China is a great country with people that are great and probably the latest pictures from the nation show a somber mood all over.

The latest death toll stands at more than 1,500 people with individuals infected estimated at more than 60,000 people. This previous week, the daily death toll reached probably the highest after the outbreak at 242 people and resulted in the sacking of officials at Hubei. Over two dozen nations have claimed the coronavirus with evacuations happening to defend foreign nationals from infections. Outside China, just Japan, the Philippines, and HongKong have reported deaths.

The World Health Organization declared the coronavirus a worldwide pandemic that threatens the lives of people. With shutdowns everywhere via airports, to transport and businesses, the Chinese people are suffering, and they require global support. Quarantine efforts now kicked off with Wuhan, in which the virus broke out as a result of an open-air market and is now spreading to other areas of China. The quick spread of the coronavirus at one particular person to another can make this particular condition dangerous with current estimates showing near to 60,000 people already sick.

From these numbers, it’s apparent that the world needs a safe and quick answer right now to fight the further spread of this coronavirus.

What then is the very best answer to this particular health crisis?

This is exactly where technologies like Artificial Intelligence & Machine Learning come into play. Analytics have transformed the way disease outbreaks are tracked and managed, hence saving lives. The World Health Organization and the Center for Disease Control have adopted big data and analytics in their review of the coronavirus with a confidence environment in about discovering a long-lasting solution.

Coronavirus Overview

The molecule of coronavirus

The coronavirus (COVID-19) originates from a virus family group related to Severe Acute Respiratory Syndrome (SARS) and the common cold. Researchers point out that the coronavirus is coming from animals and spreads to humans after which people infect each other. Animals like bats and snakes consist of viruses that are lethal to human health with scientists professing that other animals have a variety of virus strains but are still to spread to humans. The Middle East Respiratory Syndrome is yet another infection with quite similar roots because of the coronavirus and also poses chances to human health too.

According to WHO these are some common signs of coronavirus:

  • Breathing problems
  • High Fever
  • Excess coughing
  • Respiratory problems such as gasping for breath

Measures one must take to prevent the spread of coronavirus:

  • Cover nose and mouth during sneezing
  • Washing hands frequently
  • Avoid contact from those showing signs or are infected
  • Cooking food well such as meat

Artificial Intelligence and data analytics used to measure and prevent COVID-19

China is using Robots to spread awarness

Big data and predictive analytics have become to be an effective tool for fighting deadly disease outbreaks like SARS and coronavirus.

BlueDot is an AI start-up that has created intelligent systems that sift through data about individuals to figure out the risks of disease occurrence. The AI wedge from BlueDot is among probably the latest technological developments with data analytics to map and prevent diseases. Something very fascinating is that BlueDot predicted the SARS pandemic and it turned out to be real. The SARS outbreak arrived with disastrous consequences and also claimed the lives of nearly 1,000 people. The outbreak alert regarding the Coronavirus in December 2019 is another research attesting to the affective dynamics of AI technologies. This, later on, arrived a fact because the outbreak grew to become mainstream on February 2nd, 2020.

Natural language processing is a tool used by BlueDot to monitor diseases with the business being successful in detecting diseases around the world. For example, BlueDot analyzes human languages all over the world and uses the data to help them forecast health problems outbreaks. Machine learning is also used by BlueDot using the algorithms offering updated info about potential disease occurrences.

However, artificial intelligence technology at BlueDot saves resources and time by helping health professionals with data on prevention measures. Many times, disease avoidance poses threats when compared with predicting and because of the machine learning tools, health specialists are able to focus on patient safety.

The University of Southampton is also carrying out research initiatives in the present coronavirus outbreak with the institution making use of AI technology to model data at search engines like google to map the outbreak. AI technology is helping them to recognize the movement patterns of the coronavirus from Wuhan to various other areas of China and the rest of the planet. These Machine learning and AI systems have assisted researchers to foresee the virus, its framework and it’s spreading methods. For that reason, this can assist health professionals to understand the remedies needed to fight the further spread of this virus.

Harvard Medical School is spearheading attempts to find solutions for the coronavirus by making use of machine learning expertise to look at information and data from different sources, which includes patient records, social networking, and public health data. As a consequence of an all-natural language processing tool, researchers at Harvard Medical School are able to search for data that is online about the coronavirus and fully grasp the present location of the outbreak. For instance, NLP is distinguishing between people complaining about coronavirus symptoms and those discussing the illness but not affected. Based on the HMS, the patterns in online media are able to facilitate finding a location outbreak and promote increased awareness of possible solutions.

Insilico Medicine is another startup using analytics in disease prevention. It is based in Maryland, USA, Insilico Medicine is presently developing technology that is going to inform doctors about molecules effective at fighting against the coronavirus. The AI program at Insilico Medicine is fast and accurate having just recently examined molecules & provided responses about molecules suited to fight the coronavirus. The startup is now building a database of molecular info that medical researchers could use in their projects and much more so combating deadly outbreaks which include the coronavirus.

Action Plan of WHO against COVID-19

World Health Organization logo

The World Health Organization is leading initiatives against fighting the spread of this coronavirus with worldwide workers convening in Switzerland to layout programs. The first goal of WHO is to determine information on the COVID-19 to better map the situation & create concrete solutions. Second, the WHO is measuring loopholes in the present virus outbreak to foster the effort required to prevent further spread.

Research funding of the coronavirus is yet another major area under-emphasis by the WHO together with the organization calling organizations and governments to mobilize materials in equal measure. Part of the strategy is developing measures that will stop further spread of the coronavirus in the future. The special meeting convened by the WHO will also talk about vaccine and drug development to avoid outbreaks.

Dr. Tedros Adhanom Ghebreyesus, the director of the World Health Organization is at the cutting edge of fighting the coronavirus and known for collaboration between scientists and researchers. Based on the WHO director, the good results from coronavirus pandemic lies within the analysis community working in concert to battle the outbreak by taking the very best minds together. The Global Research Collaboration for Infectious Disease Preparedness in deep partnership using the WHO is presently operating around the timepiece to spearhead investigation attempts including technologies necessary to deal with the coronavirus outbreak.

Artificial Intelligence, machine learning, and Data analysis were pivotal in dealing with the coronavirus outbreak and based on WHO, the scenario is stabilizing despite new infections noted and deaths still increasing. The Who cautions it’s not soon enough to assume the virus stabilizing but work has to be carried out to eradicate this particular outbreak. The Chinese government of cooperation with Who and governments throughout the world is working round the clock by utilizing technology to combat the outbreak.

Aman is a seasonal Editor associated with AnalyticsJobs for the last 6 months. He is a DataScience aspirant and has a keen interest in exploring the technology updates engaging around the world. Aman has vast Knowledge of content creation, content writing, and editing. He is a post-graduate from Graphic Era Hill University. You can reach Aman at aman@analyticsjobs.in

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