Paula Patrício

Mathematical Models in Epidemiology

Dr.Paula Patrício is graduated in mathematics by the Faculdade de Ciências da Universidade de Lisboa. In her Ph.D. she embarked on a new adventure, aiming her work to the study of mathematical models of infectious diseases in the Instituto Gulbenkian de Ciências, where she integrated a multidisciplinary team.Currently, she is a teacher in the Department of Mathematics of Nova School of Science and also a member of CMA (Centro de Matemática e Aplicações) of the Nova University of Lisbon.

She works in collaboration with colleagues of both Nova and Universidade de Aveiro. Her team is interested in the influence of human behavior on the success of control measures for the spread of diseases, combining two very interesting study areas, game theory, and epidemiology. Currently, she is also part of a research project about COVID-19, financed by FCT and which involves the Instituto Dr. Ricardo Jorge (INSA), Universidade de Trás-os-Montes e Alto Douro (UTAD) and FCT NOVA. In this project, the aim is to understand the dynamic of COVID-19 spread and to create models which can predict the evaluation and impact of different measures of intervention in Portugal.


Previous Requirements

So you can fully benefit from this amazing workshop, we advise you to previously take into consideration the following requirements:


  • Install a Python Software (The instructor uses Spyder however other softwares can be used);

Don’t miss this opportunity and enter aboard!

Further Details

Workshop’s Language: Portuguese

Schedule: 11th April (11h00-12h30)

Official Certification: Granted by the event

Abstract: Since 2020, it was very clear that the study of epidemiologic phenomena is of major importance. Mathematical models can explain the dynamic of disease, and also evaluate and predict the impact of control measures which have been used since the beginning of the last century, has it the example, the Kermarck-McKendrick Theory. In this workshop, we will visit some examples, beginning with the simplest mathematical model, SIR. Different epidemiological questions will lead to different mathematical formulations and correspondent mathematical techniques. How work is to choose the most adequate formulation of the problem to answer those questions most accurately as possible. In this workshop, we will implement a simplified mathematical model, the SEIR, and adapt it to the study of COVID-19 spread-rate. Which is the impact of non-pharmacological measures? Which is the impact of masks? Which will be the role of vaccines?