Analyzing and Forecasting of COVID-19 Situation Using FbProphet Model Algorithms

Autor: S. Geetha, M. Farida Begam, Ayush Dubey, Ayush Sengar, Joshua Samuel Raj
Rok vydání: 2022
Zdroj: Advances in Medical Technologies and Clinical Practice ISBN: 9781668437919
DOI: 10.4018/978-1-6684-3791-9.ch004
Popis: SARS-CoV-2 (n-coronavirus) is a global pandemic that has killed millions of people all over the world. In severe situations, it can induce pneumonia and severe acute respiratory syndrome (SARS), which can lead to death. It's an asymptomatic sickness that makes life and work more difficult for us. This research focused on the current state of the coronavirus pandemic and forecasted the global situation, as well as its impacts and future status. The authors used the FbProphet model to forecast new covid cases and deaths for the month of August utilizing various information representation and machine learning algorithms. They hope the findings will aid scientists, researchers, and laypeople in predicting and analyzing the effects of the epidemic. Finally, they conclude that the virus's second wave was around four times stronger than the first. They also looked at the trajectory of COVID-19 instances (monthly and weekly) and discovered that the number of cases rises more during the weekdays, which could be due to the weekend lockout.
Databáze: OpenAIRE