Integrating cognitive factors in dynamical models of epidemiology with applications to disease spread and control

The project aims to improve disease prevention and control by including cognitive variables in dynamic models of disease epidemic. Classical compartmental models of disease dynamics are typically used to explore the extent to which an infectious disease propagates through the population, while cognitive factors such as misinformation and degree of compliance with public health measures are often overlooked. Yet, cognitive factors play a crucial role in pandemic response behaviors. Our project will determine the impact of cognitive behavior and information dissemination on disease spread and control, while addressing the impact of risk perception, attitudes, social networks, and media on disease outcomes. The essential cognitive parameters influencing epidemic progression will be identified. In addition, we will present recommendations to support policies to address the negative effect of some cognitive factors such as misinformation in social networks. We will achieve the objectives using a modelling framework for SARS-CoV-2 as a case study.

Faculty Supervisor:

Seyed Moghadas

Student:

Partner:

Federal University of Viçosa

Discipline:

Mathematics

Sector:

Health and Related Sciences & Technology

University:

York University

Program: