MfPH Shared Graduate Course - One Health Modelling for Emerging Infectious Diseases Part II
Description
Instructor: Rebecca Tyson - University of British Columbia, Julien Arino - University of Manitoba, Assefa Woldegerima - York University, Marina Freire-Gormaly - York University
Course Description: This course is an extension of One health Modelling for Emerging Infectious Diseases Part I. This course introduces students to mathematical modelling of infectious diseases in One Health, including vectorborne diseases, livestock diseases, and waterborne diseases. Infectious diseases models are developed to track infection and transmission in animal, plant, and human populations. Particular attention is paid to infections that can be transmitted to humans in animals from their environment, including insects, livestock, and affected water sources. Public health mitigation, as well as animal and environmental pathogen control are discussed, and the models are extended to include vector control, treatment and immunization of livestock, other vector and livestock control disease control mechanisms (i.e., culling), and environmental treatment. Students will learn to formulate, analyze, parameterize, and validate quantitative models for infectious disease processes and data. Applications include malaria, zika virus, west nile virus, lyme disease, foot and mouth disease, avian influenza, cholera, Hepatitis A virus, and typhoid fever. Approachesinvolve computer simulation, differential equations, individual-based models, least squares, likelihood, matrix equations, Markov processes, and stochasticprocesses. Computing labs cover simulation andprogrammingmethods in specific software programs that are popular in the field of Infectious Disease Modelling. Course discussions in model evaluation and appraisalofcurrentliterature include opportunities for reflection and communication.Students will have opportunity to collaborate with their course colleagues on group projects.
Prerequisite: Familiarity with epidemiology and public health. Some training in disease modelling. Or, permission of the instructor. Class Structure. Classes will include lectures, group discussion and computer labs. Group project presentations will occur in the last week of each section of the course.
Start date: Week of February 6-10, 2023
End date: Week of May 15-19, 2023
Deadline to register: February 13, 2023
Please note that the course instructors are able to offer support in both English and French
Joint course between:
Register here and you will receive the zoom link in the registration confirmation email