Banca de QUALIFICAÇÃO: Larissa Lopes Lima

Uma banca de QUALIFICAÇÃO de DOUTORADO foi cadastrada pelo programa.
STUDENT : Larissa Lopes Lima
DATE: 08/04/2021
TIME: 14:00
LOCAL: Videoconferência
TITLE:

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KEY WORDS:

Modeling of biological systems. Complex Systems. Agent-based models. Cellular automata.

PAGES: 70
BIG AREA: Outra
AREA: Multidisciplinar
SUMMARY:

 

In recent years, computational advances have contributed to the emergence of more tools that do these simulations in more credible ways, such as agent-based models (ABMs). ABMs consist of a way of modeling heterogeneous agents that interact with each other and with the environment. In this work, we did a brief explanation about agent-based models and their applications in biological systems. Next, we presented two initial papers using ABMs and cellular automata (CA). The first one consists of a hybrid model that simulates the seed bank dynamics in association with its physical dormancy (PD) based on experimental data of depletion of the seed bank of a population of Leucaena leucocephala during the dispersal. The second work is a COVID-19 model that evaluates the mobility restriction imposed on the system and the infection curve. We also verified if there are superspreaders even if they have not been defined a priori in the model, as is usually done in other researches. Network measurements were used to evaluate the result of this model and it was possible to identify some key-spreaders. Thus, we expect to continue our research in agent-based models in biological systems: the seed bank model will be studied with the introduction of fire scenario and the COVID-19 model will be compared with a dengue fever model and with a syphilis model.

BANKING MEMBERS:
Externa à Instituição - QUEILA DE SOUZA GARCIA - UFMG
Presidente - ALLBENS ATMAN PICARDI FARIA
Externa ao Programa - ANDREA RODRIGUES MARQUES
Interno - JOSE LUIZ ACEBAL FERNANDES
Interno - RODRIGO TOMAS NOGUEIRA CARDOSO