The Effect of Rumor and Hoax in Disease Transmission: A Mathematical Model Perspective

Asep K. Supriatna (Padjadjaran University, Indonesia)

Wednesday 6th September, 2023 13:00-14:00 Livingstone Tower LT908 University of Strathclyde

Abstract

In this paper, we present a review of mathematical models for the transmission of rumor and hoax. We then explore the effect of disinformation such as rumor and hoax and their effect on the spread of disease infection. This phenomenon is not uncommon to occur, such as in the case of the COVID-19 pandemic. There is so much misinformation or even disinformation regarding the nature of the disease and how people should behave toward the disease. In many countries, this led to mismanagement of the disease, in particular, many people exhibited poor behavior or poor disease awareness in responding to the disease. We explore the effect of rumor and hoax in a mathematical model of disease transmission in the form of differential. By modifying the known SIR model, we divide the population into different categories depending on their health status, such as susceptibles, infected, and immune individuals. Furthermore, we also divide the susceptibles into different categories according to the knowledge of the rumor and hoax. We give a numerical example to show the effect of rumors or hoaxes in the disease dynamics.

Keywords: Mathematical Model, Differential Equation, Rumor, Hoax, Disease Transmission

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