A Comprehensive Examination, Analysis, and Forecasting of Covid-19 Disease Patterns

  • Mohammad Meraj, Surendra Pal Singh, Prashant Johri
Keywords: Covid-19, Covid Diseases, Forecasting, Regression Model.

Abstract

 Covid-19 diseases produced by pathogens that occur naturally in the environment. This illness may be transmitted via direct or indirect contact, and outbreaks or even epidemics are possible. A comprehensive and realistic strategic plan is needed in order to successfully deal with communicable diseases. For communicable diseases, the inclusion of health scenarios in which possible future occurrences, likely occurrences, or even just conceivable trends (forecasting) can help create a strategic plan for prevention and control. Forecasting is the process of anticipating future occurrences and predicting future events. When working to generate predictions, there are an unlimited number of potential methods. Quantitative projection techniques are needed in order to give reliable forecasts for certain key aspects of Covid-19 disease epidemiology. Forecasting is not an end in and of itself, but rather a technique to raise awareness of critical processes. It is crucial to first identify a number of variables when formulating a prognosis for communicable diseases. There are many variables to think about, including access to relevant historical data, an accurate knowledge of the reasons of patterns' previous changes, and the discovery of factors that may influence future patterns.

Published
2021-09-15
How to Cite
Prashant Johri, M. M. S. P. S. (2021). A Comprehensive Examination, Analysis, and Forecasting of Covid-19 Disease Patterns. Design Engineering, 11692-11707. Retrieved from http://thedesignengineering.com/index.php/DE/article/view/4325
Section
Articles