On 31st December 2019, WHO was alerted of several new cases on pneumonia in Wuhan City, Hubei Province of China. The virus was way different compared to all the known viruses. Since the virus was new, it raised a lot of concern because of the uncertainty about its effects on people.

So daily level information on the affected people all over the world can give some interesting insights.

2019 Novel Coronavirus (2019-nCoV) is a virus (more specifically, a coronavirus) identified as the cause of an outbreak of respiratory illness first detected in Wuhan, China. Early on, many of the patients in the outbreak in Wuhan, China reportedly had some link to a large seafood and animal market, suggesting animal-to-person spread. However, a growing number of patients reportedly have not had exposure to animal markets, indicating person-to-person spread is occurring. 

The cases of COVID-19 starts from China as the epicenter with first initial COVID-19 Cases. Gradually the cases spread across many nations in the world.

From the visualization above, the countries most affected by COVID-19 are the ones covered in dark red. The lighter shade of red indicates the countries which are less impacted by the COVID-19. Hence, some of the European countries, China, the USA are facing a major outbreak of the pandemic.

On February 28th, 2020, the pandemic began spreading like a wildfire in many countries. But the major hit was in Italy with 16.1% out of all the nations.

The bigger the boxes, the higher the spread of the coronavirus.

Europe emerges later as the new epicenter for the virus, where there is a rapid rise in COVID-19 cases in European countries.

From the graph above, the confirmed cases were higher in China, while the rest of the countries had comparatively lesser cases identified.

On March 17th 2020, 56 Days post the first confirmed case of COVID-19. The Global Count of confirmed COVID-19 cases crossed the 200K mark.

Soon after, in a couple of days, the Global confirmed cases reached beyond 400K mark. 

Shortly on March 27th, 2020, the count rose to more than 600K mark.

On March 13th, 2020, the death count touched the 5K mark.

Within 10 days for touching the 5K mark, the death count rose to 10K with incredible speed.

On March 28th, 2020, the death count surpassed the 30K mark at an extraordinary pace. 

It can also be observed that China(dark green) has a constant pace and the death count is below or at 5K mark. Whereas, the death counts in Italy(light green) has been constantly rising and ends up going beyond 15K.

As the days passed, the deaths of Italy were significantly larger than the rest of the nations.

The total number of recovered cases was far less than the confirmed cases.

As seen from the visualization above, China's recovery rate has been enormous as it reached 80K. Comparing the global recovery rate, many people were recovered by the end of March.

A total of 20.55% cases were recovered out of total confirmed cases as of April 6th, 2020.

Over time, the spread of Coronavirus is maximum in the USA followed by Spain, Germany, China, Italy. The countries in purple have significantly less spread of the virus.

The confirmed cases of COVID-19 gradually spread throughout the world, with a spike in confirmed cases seen in European regions and the US.

As of April 3rd, 2020, the USA has the highest number of confirmed COVID-19 Cases reported, with some European Countries emerging as the 2nd-4th highest cases of COVID-19

Over the period, by the end of March, the number of confirmed cases all around the world were exponentially increasing. Although the cases identified were large, the recovery and death rates were extremely low.

From the choropleth map given above, 

The spread of COVID-19 is seen lately around the eastern coast of the US. The number of cases in New York is increasing rapidly and counties nearby New York have a higher concentration of cases than those away from it. The area around Chicago has also higher case density than other parts of the US. Some parts of the west coast(yellow region) have also a significant number of cases.

Reference:

Dataset provided by:

https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset

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