Instructor: Prof. Seyed Moghadas
Email: moghadas@yorku.ca
Registration Deadline: January 17th, 2022
Lecture Times: Tuesdays | 3:00 - 4:30 pm and Fridays | 1:30 - 3:00 pm
Lecture Details: Tuesday classes will be related to communications, scientific writing, interpersonal skills, project development, bidirectional collaboration and research/training in a multidisciplinary environment, and Q/A for students. Friday classes will cover the course outline.
Course Dates: January 7th - April 1st, 2022
Mid-Semester Break: February 21st - 25th, 2022
Prerequisites: Ordinary Differential Equations (undergraduate level); Linear Algebra (undergraduate level); Numerical methods/analysis and an elementary course in Statistics would be very useful
Grading: Students will be assigned individual projects (each student, 2 projects). They are expected to prepare short reports on each project, and deliver short presentations (each project about 8 minutes with follow-up Q/A).
Registration Fee: Canadian Students - FREE | International Students - $100 

Course Overview

This course will cover important topics in modelling infectious disease dynamics in human populations. Topics will include compartmental modelling (from simple classical SIR to more advanced multi-scale models); integration of public health interventions in models (both non-pharmacologic and pharmacologic measures); theory and methods to understand the dynamics of models and effect of interventions; parameter distributions and statistical analyses of model input/output; with case studies for interacting populations (e.g., metapopulation models); individual-level characteristics (e.g., agent-based modelling; household models); vector-borne diseases (e.g., Zika and Dengue); cellular-level dynamics (e.g., in-host modelling). Data-driven models will be presented, and importance of underlying assumptions and epidemiological concepts in the development, parameterization, implementation, and scenario analyses will be discussed. Policy implications of different assumptions for preventing and/or mitigating disease outbreaks are also illustrated.