Banca de QUALIFICAÇÃO: PAULO GABRIEL NUNES CANÇADO

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : PAULO GABRIEL NUNES CANÇADO
DATE: 19/04/2024
TIME: 14:00
LOCAL: Google Meet
TITLE:

COVID-19 propagation in multilayer networks

KEY WORDS:

SIR, Complex Networks, CDR, Genetic Algorithm, COVID-19

PAGES: 35
BIG AREA: Ciências Exatas e da Terra
AREA: Ciência da Computação
SUMMARY:

Epidemic modeling is a very useful tool to help institutions make decisions. Understanding the dynamics of the spread of the virus in the population makes it possible to develop effective public policies to combat the epidemic. This work aims to model multilayer networks, aiming to represent the economic, social and demographic aspects of a given population. The network layers will be modeled using census data and telephone call records (CDRs). Subsequently, it will be used to simulate the spread of COVID-19, applying the SIR epidemiological model. To use this model, the parameters $\beta$ and $\gamma$ will be estimated by a genetic algorithm, using real infection and recovery data in this adjustment process, generating simulations with patterns similar to reality.

BANKING MEMBERS:
Presidente - 1803365 - VINICIUS DA FONSECA VIEIRA
Interno - 1742853 - RAFAEL SACHETTO OLIVEIRA
Interna - 1777390 - CAROLINA RIBEIRO XAVIER
Interno - 2325537 - ALEXANDRE BITTENCOURT PIGOZZO