Understanding the evolution of epidemic models during the COVID-19 pandemic

This research project aims to review the different epidemiological modelling approaches used to predict the spread of COVID-19. The project will conduct a comprehensive search of literature and relevant sources, evaluate the quality of the identified studies, extract relevant data, and synthesize the data to provide a narrative summary of the effectiveness of different modelling approaches. The project’s goal is to identify gaps in the literature and suggest areas for future research that can enhance the accuracy and reliability of epidemiological modelling. Ultimately, this research could help in the development and implementation of effective control measures to mitigate the effects of the pandemic.

Faculty Supervisor:

Zahid Butt

Student:

Partner:

National Aerospace University "Kharkiv Aviation Institute"

Discipline:

Life Sciences

Sector:

Other

University:

University of Waterloo

Program: