Epidemiological models are important tools to understand the dynamics of infectious diseases, contributing to public health authorities' capacity to implement the available intervention measures to control disease transmission. As the COVID-19 pandemic progressed, research on mathematical modeling became imperative and very influential, to understand the epidemiological dynamics of disease spreading and control under different scenarios. This course provides an introduction to mathematical epidemiology, from mathematical concepts and applications up to discussion of real world case studies, including the COVID-19 pandemic.

TIME: 11:45 - 17:15 (a total of 24 lecture hours)

11:45-12:30
15 min break
12:45- 13:30
lunch (13:30-15:30)
15:30-16:15
15 min break
16:30-17:15

LOCATION: BCAM Maryam Mirzakhani Seminar Room

PREREQUISITES: Basic knowledge of ordinary differential equations, linear algebra, and probabilities/statistics

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