Change and Periodic Events: Relevance to the Pandemic

ABSTRACT

With developments of technology to connecting everything and spreading information via different mediums, data is analyzed in a variety of ways. We dive into two concepts deeply and observe how they resonate with every hidden information in the data, specially with time series that is most commonly generated by Internet of Things (IoT). We focus on change owing to the dynamic nature and periodic events owing to the constant oscillation between states in nature. Multiple theories stumble upon the idea of frequency to solve a problem, and we translate the meaning of frequency from one theory to another. We discuss the theories, such as Simple Harmonic Motion (SHM) to model and visualize periodic events, string theory to understand how frequency is used to define the nature of fundamental particles, and differential equations to model change. Lastly, we describe how the Fourier transform allows us to convert any signal into a sum of sinusoidal signals. We further analyze the rise of COVID-19 in India, Brazil, and the USA. We develop this chapter consisting of a road map of problems that require more than just basic statistics to manoeuvre and understand. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.