Modeling the COVID-19 post-pandemic spread

Balsa, Carlos; Padua, Everaldo; Pinto, Luan; Rufino, José

http://hdl.handle.net/10198/36076

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Resumo(s)

With the current recession of the global COVID-19 pandemic, the corresponding epidemic models need to be adapted to reflect this new reality and continue assisting public health authorities in the definition of policies and decision making. With that aim, this paper presents a deterministic SEIR epidemic model for the representation of the COVID-19 post-pandemic scenario. The model considers the effect of countermeasures such as vaccination and quarantine, and the consequences of the progressive loss of immunity. The preliminary evaluation results, with fixed parameters, point to a cyclic evolution of the pandemic and a tendency for stabilization in the future.

Palavras-chave

COVID-19 post-pandemic scenario SEIR model

URI

http://hdl.handle.net/10198/36076

Citação

Balsa, Carlos; Padua, Everaldo; Pinto, Luan; Rufino, José (2023). Modeling the COVID-19 post-pandemic spread. In 3rd Symposium of Applied Science for Young Researchers (SASYR 2023). ISBN 978-972-745-325-2

Projetos de investigação

Research Centre in Digitalization and Intelligent Robotics

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Editora

Instituto Politécnico de Bragança

Coleções

ESTiG - Resumos em Proceedings Não Indexados à WoS/Scopus

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