#3584. Time-series forecasting and analysis of COVID-19 outbreak in highly populated countries: A data-driven approach

May 2027publication date
Proposal available till 28-05-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Medicine
Places in the authors’ list:
place 1place 2place 3place 4
FreeFreeFreeFree
2350 $1200 $1050 $900 $
Contract №3584.1 Contract №3584.2 Contract №3584.3 Contract №3584.4
1 place - free (for sale)
2 place - free (for sale)
3 place - free (for sale)
4 place - free (for sale)

Abstract:
A novel corona virus, COVID-19, is spreading across different countries in an alarming proportion, and it has become a major threat to the existence of human community. With more than eight death count within a very short span of seven months, this deadly virus has affected more than 24 million people across 213 countries and territories around the world. In this work, data analysis on COVID-19 dataset is performed by comparing the top six populated countries in the world. A novel time-series forecasting approach based on auto-regressive integrated moving average model is also proposed. The results will help the researchers from the medical and scientific communities to gauge the trend of the disease spread and improvise containment strategies accordingly.
Keywords:
ARIMA; COVID-19; Data analysis; Disease spread; Time-Series forecasting

Contacts :
0