A mathematical model is one of the applied ways to describe a real-life situation or task by using numeric calculations. According to Shah et al. (2020), the principle of mathematical modeling involves creating a simplified form that cuts off the individual properties of reality. In addition to the physical environment, mathematical models are utilized to describe biological processes, social themes, and other phenomena that require a systematic assessment through the available variables. Thus, this form of analysis involves using specified data to carry out calculations aimed to determine whether the presented relationships are valid or not.
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Any research looking for a relationship between measurable parameters generates a mathematical model. The importance of this principle lies in an opportunity to structure a specific topic and provide clear calculations that prove the specified correlations. Today, mathematical models are applied in a variety of fields, and as an example, Shah et al. (2020) review its use to address the COVID-19 pandemic and assess the current outcomes. In this case, the property of universality inherent in reliable models is clearly manifested since the corresponding calculations are suitable for different social environments. Therefore, the possibility of using mathematical models, regardless of geographic or other features, makes this method of calculation credible.
The aforementioned mathematical model addressing the COVID-19 pandemic uses a simple equation. Shah et al. (2020) remark that these calculations can be presented in different forms depending on what is compared. Below, one can see an example of an equation in which the number of people infected is evaluated by utilizing the variables of infection rate, population rate, and some other crucial data (Shah et al., 2020). This example of a mathematical model reflects the simplicity of this form of assessment and its versatility.
Shah, K., Abdeljawad, T., Mahariq, I., & Jarad, F. (2020). Qualitative analysis of a mathematical model in the time of COVID-19. BioMed Research International, 1-11. Web.