• Gurpreet Singh Tuteja
• Tapshi Lal

In this study, we predict three important parameters related to the pandemic Covid-19: total number of infected, deaths and vaccinated in different countries of the world where the Covid-19 cases are rising. We have used the neural network of Mathematica-12 to predict the above-said parameters. These parameters can help the Government of the respective countries to strategize their resources in such a way that the spread of the contagious disease can be controlled and treated clinically to reduce mortality. The citizens must be forced to follow the Covid-19 appropriate behaviour (CAB) so that they remain disease-free and healthy. The number of vaccination is being administered during the last 5 months is also taken into consideration and predicted for the next 30 to 45 days. The data shows that various countries have different rates of vaccinating their citizens against Covid-19. The prediction related vaccinations can help the Governments to efficiently manage the vaccination programmes by training health care workers, planning inventory of vaccination, motivating the population through awareness programmes and post-vaccination care arrangements.

COVID-19, Neural Networks, Vaccination, Infected, Prediction

"Covid-19: Predicting third wave using Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.b377-b386, July-2021, Available :http://www.jetir.org/papers/JETIR2107178.pdf

"Covid-19: Predicting third wave using Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppb377-b386, July-2021, Available at : http://www.jetir.org/papers/JETIR2107178.pdf