ABSTRACT
The epidemic models developed have played important roles in the investigation of infectious diseases. The primary goals of the epidemic models are to obtain a better understanding of how the virus spreads; to discover which variables contribute to the transmission of the epidemic; and to aid in decision-making regarding an effective control plan for diseases. This chapter provides a quick overview of several epidemic modeling techniques useful in epidemiology without providing a detailed background for each of them. Three main types of models are considered in epidemic modeling, including mechanistic models, phenomenological models, and hybrid models. The chapter provides a brief introduction to each type of model. Time series analysis focuses on capturing the underlying patterns and forecasting the future values by employing the past observations of a random variable. The chapter ends with a glossary of terms in epidemic modeling with their definitions to help data scientists without a background in epidemiology.
