Using the general trend equation in time series to predict the number of people infected with Covid – 19 Virus
DOI:
https://doi.org/10.56967/ejfb202267Keywords:
General trend equation , Time SeriesAbstract
The increase in the number of people infected with the virus around the world and the human and material losses caused by this phenomenon and the social and psychological effects it generates include all categories of society. The main purpose of studying this virus is to know ways to reduce losses and make future predictions about it.
In this research, time series (general trend equations) were used in the theoretical side and monthly data analysis on the virus (covid 19) and for the time period (2019-2020) because of the high accuracy and flexibility of these equations in analyzing the time series.
The results showed that the appropriate and efficient model is the quadratic model to represent the time series according to the comparison with other models.
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This work is licensed under a Creative Commons Attribution 4.0 International License.
This is an Open Access article distributed under the terms of the creative commons attribution (CC BY) 4.0 international license which permits unrestricted use, distribution, and reproduction in any medium or format, and to alter, transform, or build upon the material, including for commercial use, providing the original author is credited.
