Since the first wave of COVID-19 has aroused, it has created havoc around the world. The rise in cases and their mutations are at an all-time high. Moreover, the strains are emerging themselves out of nowhere. But with advancement in the field of Medical Science, vaccines with up to 95% accuracy have been discovered. However, this makes it difficult for vaccine producers to create generic vaccine due to the newer strains that are growing up in various parts of the world.
Note:The main aim is not to extensively study the havocs caused by Covid in different countries through the last one year, that is already been done by so many great blogs out there. I'll focus on analyzing the second wave in some countries along with the extent of vaccination.
.Before we begin, let's first view a world map with total confirmed cases in each country.
USA has the Highest cases amongst all i.e., over 30 million cases followed by India and Brazil which have 19 million and 15 million cases respectively.
This isn't a very accurate stat for the countries worst hit by Covid, since it does not take the population into account.
A major factor in curbing COVID was the rate of testing. Let's see which are the top 20 countries in terms of tests per 1 million population.
It would be interesting to analyze the new cases counted every day for the last one year (approx) throughout the world.
If we take data from most countries around the world into consideration then:-
Let's do a more granular analysis of this trend. I have handpicked some countries that had most of the covid cases , let's visualize whether they did or did not see a second spike.
It's interesting to see how different countries have fared through time.:-
We'll start the analysis of the second wave by the United States
India is the second most populous country and is amongst the countries worst hit by Covid.
During late January and February when the daily cases in India reduced a lot, the people and even government officials made the mistake of assuming the worst was over. Despite seeing a second wave in European Countries, the possibility was ignored. Regulations on social-distancing and wearing masks were relaxed. People started believing that the population would develop herd immunity. Also, vaccines were considered sufficient in the battle against covid.
There are a lot more European countries that saw a second wave, I've chosen a subset of them here.
Let's compare deaths per million population for these countries.
It is clear, that some countries did well during the second wave, some didn't.
Let's Forecast the Data to predict the Vaccination Drive by weekly
There are large datasets as some of the independent data are correlated with other data. I have collect datasets from different sources in order to get accurate prediction I had used Autoregressive Integrated Moving Average (ARIMA) for forecasting, but the result was not as accurate
In the Refrences I have used word different techniques for prediction I have used Prophet for Forecasting the time series data based on an additive model where non-linear trends are fit with yearly, weekely, and daily seasonality. I have Predicted the Data of Daily Cases, Total Vaccination and People Fully Vaccinated. Using this, will be able to predict the Vaccination Drive.
After using Prophet and forecast, I can predict that how many people will get daily Vaccine by end of the next week. How many daily Vaccinations will be provided and number of people who will be Fully Vaccinated by end of the next week.