#11242. Time-series forecasting and analysis of COVID-19 outbreak in highly populated countries: A data-driven approach

July 2026publication date
Proposal available till 23-05-2025
4 total number of authors per manuscript0 $

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Journal’s subject area:
Public Health, Environmental and Occupational Health;
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Abstract:
COVID-19 is spreading across different countries in an alarming proportion, affecting millions of people within a very short span of several months. Time-series analysis, modeling, and forecasting are important research areas that explore the hidden insights from larger set of time-bound data for arriving at better decisions. In this work, data analysis on COVID-19 dataset is performed by using a novel time-series forecasting approach based on auto-regressive integrated moving average (ARIMA) model.
Keywords:
ARIMA; COVID-19; Data analysis; Disease spread; Time-Series forecasting

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