@inproceedings{43c086e530fa4afb9df3ecf655914850,
title = "An Innovative Approach to Estimate Infection by COVID-19",
abstract = "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.",
author = "Manuela Oliveira and Eug{\'e}nio Gar{\c c}{\~a}o and Grilo, {Lu{\'i}s M.} and Mexia, {Jo{\~a}o T.}",
note = "Funding Information: info:eu-repo/grantAgreement/FCT/Concurso de avalia{\c c}{\~a}o no {\^a}mbito do Programa Plurianual de Financiamento de Unidades de I&D (2017%2F2018) - Financiamento Base/UIDB%2F04674%2F2020/PT# info:eu-repo/grantAgreement/EC/H2020/101007950/EU# Publisher Copyright: {\textcopyright} 2024 American Institute of Physics Inc.. All rights reserved.; International Conference of Numerical Analysis and Applied Mathematics 2022, ICNAAM 2022 ; Conference date: 19-09-2022 Through 25-09-2022",
year = "2024",
month = jun,
day = "7",
doi = "10.1063/5.0212209",
language = "English",
series = "AIP Conference Proceedings",
publisher = "AIP - American Institute of Physics",
number = "1",
editor = "Simos, {Theodore E.} and Charalambos Tsitouras",
booktitle = "International Conference on Numerical Analysis and Applied Mathematics",
address = "United States",
edition = "1",
}