Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/175340
Título: An Innovative Approach to Estimate Infection by COVID-19
Autor: Oliveira, Manuela
Garção, Eugénio
Grilo, Luís M.
Mexia, João T.
Palavras-chave: Physics and Astronomy(all)
Data: 7-Jun-2024
Editora: AIP - American Institute of Physics
Citação: Oliveira, M., Garção, E., Grilo, L. M., & Mexia, J. T. (2024). An Innovative Approach to Estimate Infection by COVID-19. In T. E. Simos, & C. Tsitouras (Eds.), International Conference on Numerical Analysis and Applied Mathematics: ICNAAM2022 (1 ed.). Article 450005 (AIP Conference Proceedings; Vol. 3094, No. 1). AIP - American Institute of Physics. https://doi.org/10.1063/5.0212209
Resumo: Given that individuals in a certain population are different (among other things they have a different immune system), it is possible that some are infected with the known virus COVID-19 and are asymptomatic and therefore not diagnosed with the disease. Thus, estimates of the number of infected and dead with COVID-19 may not correspond to reality. This study seeks to indicate a procedure to estimate the number of individuals in the infected population that are asymptomatic (not diagnosed, but possible transmitters of the disease), based on the number of infected individuals (already diagnosed). We showed how with data available (numbers of symptomatic, symptomatic in the hospital and deceased) on the evolution of the pandemic in five regions of mainland Portugal it is possible to estimate the number of asymptomatic and immune individuals in the population.
Descrição: Publisher Copyright: © 2024 American Institute of Physics Inc.. All rights reserved.
Peer review: yes
URI: http://hdl.handle.net/10362/175340
DOI: https://doi.org/10.1063/5.0212209
ISBN: 978-073544954-1
ISSN: 0094-243X
Aparece nas colecções:FCT: CMA - Artigos em revista internacional com arbitragem científica

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