Modelling Lab Track
In this practical exercise, an interdisciplinary team of students will pose an epidemiological problem and then build a compartment model of the epidemic dynamics, aiming to enhance understanding the problem and devise interventions.
Groups
We assembled working groups with a diversity of expertises, seeking to advance a well-grounded, useful, and usable model.
Group 1
- Ana Maria Borges da Paixão Barreto
- Anoop Velayudhan
- Neisser Pino Romero
- Megan Naidoo
- Carolina Musso
Group 2
- Chloe Fletcher
- Marcela Lopes Santos
- Joseph Chiedozie Arum
- Mariam Lomaico Olivia Ravelle Fofana
- Matheus Augusto Calvano Cosentino
Group 3
- Osman Shaibu
- Fabiana Sherine Ganem dos Santos
- João Henrique de Araujo Morais
- Thao Thi Phuong Nguyen
- José Daniel Hernán Conejeros Pavez
Group 4
- Hyolim Kang
- Jean Carlos dos Santos Barrados
- Victória Catharina Dedavid Ferreira
- Flausino Lucas Neves Spindola
- Juan Vicente Bogado Machuca
- Tatiana Pineda Portella Zenker
Syllabus
We have designed short lectures and a computer exercise on the rationale and mathematics of compartment models. The students will then engage in group work to define the problem and propose a model. At the end of each day, each group will present their progress to the whole class.
13 July
02:00-03:00 PM: Intro, compartment models basics, SIR model (lecture and computer exercise)
03:00-03:40 PM: exercise discussion
03:40-04:15 PM: adding compartments to SIR models (lecture)
04:15-05:30 PM: setting the problem to be modeled (group work)
05:30-06:30 PM: group debriefing
14 July
02:00-03:00 PM: spatial and age strutuctures (lecture and computer exercise)
03:00-05:10 PM: model development: assumptions, compartment outline, equations (group work)
05:10-06:30 PM: group debriefing
Codes for the exercises
Jupyter notebooks with the codes in Python to solve and explore some compartment models.
These notebooks are shared using Google Colab, and so can be ran from your web browser. You can also run the codes off line in a computer that has the Jupyter and the required Python libraries.
São Paulo School of
Advanced Science on
Epidemic Preparedness
