COVID-19 Prediction using LSTM

ABSTRACT

As COVID-19 has transformed into a pandemic, the pollution, disasters, and ramifications for the economy have turned out to be indisputable. Sensible systems ought to be used to evaluate the money related impact of future disease guides to restrict fear and dubiousness about COVID-19 pandemic's monetary impact. Gotten from Epidemics already (like influenza) and monetary examples, this assessment gathered a plague affliction evaluation framework and a money related circumstance estimate model. Using this methodology, the author moreover guesses the monetary aftereffects of future COVID-19 spread. The disclosures of the audit are according to the accompanying. In any case, the significant learning-based monetary effect assumption model was attempted with really look at data to ensure that it actually expected development rates by percent. Second, that used a significant learning-based compelling disease money related impact estimate model, the makers present the COVID- 19 example and future financial effect assumption results for the looming year. At the present time, a large portion of COVID- 19 assessment is on method for managing drug spread using quantifiable mathematical estimations. This work will be used as a definite reference for compelling and preventive bearing by expecting the spread of diseases and monetary issues related with COVID-19 using significant learning advancement and credible overpowering ailment data. © 2022 IEEE.