Deriving the COVID-19 Formula from any Graph

Abstract

Most of the graphics published about the COVID-19 have exponential behavior. A lot of them have been driven with only the data given by government institutions. In this paper, the authors attempt to describe a general procedure to convert any group of data into a graph, where the application of the Least Square Method can provide a mathematical formula that can be used for different situations and purposes including improving the current graphs of the disease. *Corresponding Author: Dr Jose Mujica, Escuela Superior de Audio y Acústica, Caracas, Venezuela; E-mail: jmujica@escuelasuperiordeaudio.com.ve Citation: Mujica J, Mata-Toledo RA (2020) Deriving the COVID-19 Formula from any Graph. Int J Comput Softw Eng 5: 157. doi: https://doi.org/10.15344/24564451/2020/157 Copyright: © 2020 Mujica et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published on March 13, 2020. The objective is to obtain a graph to which we can apply the LSM to derive a mathematical formula that we can use, as indicated later, for several other purposes including the study of any variable of this or any other disease. As a caveat to the reader, the figures used in this paper are not at a true scale although the values shown are actual measurements; all figures are only used to convey shapes and procedures. Figure 1 illustrates a typical COVID-19 curve profile and its values. Identifying the coordinates The coordinates of the graph were found by measuring the height of the curve at seven different horizontal intervals, as shown in Figure 2. International Journal of Computer & Software Engineering Jose Mujica1,* and Ramon A. Mata-Toledo2 1Escuela Superior de Audio y Acústica, Caracas, Venezuela 2James Madison University, Harrisonburg, Virginia, USA Int J Comput Softw Eng IJCSE, an open access journal ISSN: 2456-4451 Volume 5. 2020. 157 Mujica et al,. Int J Comput Softw Eng 2020, 5: 157 https://doi.org/10.15344/2456-4451/2020/157 Introduction In this article, the authors propose the use of the Least Square Method (LSM) as a procedure that can help us obtain a mathematical formula that can be used to complement, and if possible, better any of the models used so far, particularly, on the area of medicine. The LSM will be used to fit the curve of a graph from which we can generate a mathematical formula. The procedure is a simple three-step process: first, collect the field data. Second, make a graph from the data obtained, and, as the third and last step, use the LSM to generate a mathematical formula. From the plot of this graph, after applying the LSM, we can generate a formula that can be easily taught and used worldwide without the need of having specialized workshops to teach the use and application of the formula. Using the Least Square Method to Find the Equation of Covid-19 Curve Sample To illustrate the proposed methodology in a step-by-step fashion, we will use a real-life example to find the equation of the curve of COVID-19 behavior. The data was obtained from a New York Time Article, The Exponential Power of Now by Siobhan Roberts [1] with the graphic of Britta Jewell [2], of the Institute for Diseasing Model. Figure 1: Advert cases curve (Britta Jewell.).