Modeling epidemics - 2022 Edition

Title: An introduction to the use of mathematical models for the simulation of infectious disease.

Instructor: Alex Viguerie (National Center for HIV, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta (GA), USA

Abstract

The outbreak of COVID-19 has led to a surge in interest of the mathematical modeling of infectious

disease. Many of the introduced models are so-called compartmental models, in which the total quantities

characterizing a certain system may be decomposed into two (or more) species that are distributed into

two (or more) homogeneous units called compartments. This short course will introduce the notion of a

compartment model and the basics of their development, beginning with generalized renewal (integral)

equations. We will begin with the standard SIR (susceptible-infected-recovered) model, and gradually

introduce more realistic models that account for factors such as general distributions of infectious periods,

waning immunity, vaccination, and more. Other relevant topics, such as agent-based models, back-

calculation, Other types of modeling, such as agent-based models, will be discussed briey, as well as

other important topics, such as back-calculation and inference. Some sample python code will be provided

for numerical examples. The course is open to all students; however previous exposure to differential

equations and basic programming concepts is recommended.

TIMETABLE:  24-28/10/2022 

Mon  15:00-18:00  aula G  CV2

Tue    10:30-12:30 seminar room II floor CV2

Wed   11,30-13,30  aula T.04  CV3

Thu     9,30-11,30  aula G   CV2

Fri       10,30-13,30 Atrium CV1  (if necessary)