Our society is in the era of unbelievable attempts to struggle upon the spread of this life-threatening condition in terms of infrastructure, finance, business, manufacturing, and several other resources. Artificial Intelligence (AI) researchers strengthen their proficiency in developing mathematical paradigms for investigating this pandemic using nationwide distributed data. This article intends to apply the machine learning models simultaneously with the forecast of expected reachability of the COVID-19 over the nations by using the real-time data from the Johns Hopkins dashboard. Coronavirus spreads are categorized into four stages. The first stage starts with the cases recorded for the people who traveled to or from affected countries or cities, whereas in the second stage, cases are reported regionally among family, friends, and groups who came into contact with the person coming from the affected countries.

LONDON – Beijing dismissed as "ridiculous" a Harvard Medical School study of hospital traffic and search engine data that suggested the novel coronavirus may already have been spreading in China last August, and scientists said it offered no convincing evidence of when the outbreak began. The research, which has not been peer-reviewed by other scientists, used satellite imagery of hospital parking lots in Wuhan -- where the disease was first identified in late 2019 -- and data for symptom-related queries on search engines for terms such as "cough" and "diarrhea." The study's authors said increased hospital traffic and symptom search data in Wuhan preceded the documented start of the coronavirus pandemic, in December 2019. "While we cannot confirm if the increased volume was directly related to the new virus, our evidence supports other recent work showing that emergence happened before identification at the Huanan Seafood market (in Wuhan)," they said. Paul Digard, an expert in virology at the University of Edinburgh, said that using search engine data and satellite imagery of hospital traffic to detect disease outbreaks "is an interesting idea with some validity."

This pandemic is the biggest "black swan" event we have witnessed in our lives so far. A black swan event is characterized by a very low probability but extremely high impact. The last one was 9/11 in the US, which some still saw coming. But Covid-19 has taken us all by surprise. Cases and deaths have had a geometric rise, which defeats understanding, because our minds tend to think in terms of linear progression.

Technology and artificial intelligence, in particular, can be applied to emergency medical response services, with algorithms being used for predicting the spread of a particular illness, patient monitoring and department operations in the emergency room. Scientists around the world can use algorithms to classify and cluster information, peruse the internet and interpret language associated with the illness that's being tracked, analyze images and deploy robotics for a series of medical tasks that doctors wouldn't feel safe to perform.